LCM-MVSNet | | | 99.95 1 | 99.95 1 | 99.95 1 | 99.99 1 | 99.99 1 | 99.95 2 | 99.97 2 | 99.99 1 | 100.00 1 | 99.98 10 | 99.78 6 | 100.00 1 | 99.92 1 | 100.00 1 | 99.87 9 |
|
test_djsdf | | | 99.84 8 | 99.81 9 | 99.91 2 | 99.94 10 | 99.84 21 | 99.77 12 | 99.80 51 | 99.73 46 | 99.97 6 | 99.92 18 | 99.77 7 | 99.98 8 | 99.43 43 | 100.00 1 | 99.90 4 |
|
ANet_high | | | 99.88 4 | 99.87 4 | 99.91 2 | 99.99 1 | 99.91 2 | 99.65 51 | 100.00 1 | 99.90 8 | 100.00 1 | 99.97 11 | 99.61 17 | 99.97 19 | 99.75 13 | 100.00 1 | 99.84 14 |
|
UniMVSNet_ETH3D | | | 99.85 7 | 99.83 7 | 99.90 4 | 99.89 21 | 99.91 2 | 99.89 4 | 99.71 97 | 99.93 5 | 99.95 11 | 99.89 27 | 99.71 9 | 99.96 37 | 99.51 35 | 99.97 33 | 99.84 14 |
|
anonymousdsp | | | 99.80 11 | 99.77 12 | 99.90 4 | 99.96 4 | 99.88 9 | 99.73 21 | 99.85 28 | 99.70 55 | 99.92 19 | 99.93 15 | 99.45 24 | 99.97 19 | 99.36 55 | 100.00 1 | 99.85 13 |
|
mvs_tets | | | 99.90 2 | 99.90 2 | 99.90 4 | 99.96 4 | 99.79 39 | 99.72 24 | 99.88 19 | 99.92 7 | 99.98 3 | 99.93 15 | 99.94 1 | 99.98 8 | 99.77 12 | 100.00 1 | 99.92 3 |
|
PS-MVSNAJss | | | 99.84 8 | 99.82 8 | 99.89 7 | 99.96 4 | 99.77 45 | 99.68 38 | 99.85 28 | 99.95 3 | 99.98 3 | 99.92 18 | 99.28 42 | 99.98 8 | 99.75 13 | 100.00 1 | 99.94 2 |
|
jajsoiax | | | 99.89 3 | 99.89 3 | 99.89 7 | 99.96 4 | 99.78 42 | 99.70 29 | 99.86 24 | 99.89 14 | 99.98 3 | 99.90 23 | 99.94 1 | 99.98 8 | 99.75 13 | 100.00 1 | 99.90 4 |
|
PS-CasMVS | | | 99.66 27 | 99.58 40 | 99.89 7 | 99.80 58 | 99.85 16 | 99.66 46 | 99.73 85 | 99.62 76 | 99.84 46 | 99.71 108 | 98.62 127 | 99.96 37 | 99.30 66 | 99.96 45 | 99.86 11 |
|
PEN-MVS | | | 99.66 27 | 99.59 36 | 99.89 7 | 99.83 39 | 99.87 10 | 99.66 46 | 99.73 85 | 99.70 55 | 99.84 46 | 99.73 95 | 98.56 136 | 99.96 37 | 99.29 69 | 99.94 67 | 99.83 18 |
|
v7n | | | 99.82 10 | 99.80 10 | 99.88 11 | 99.96 4 | 99.84 21 | 99.82 8 | 99.82 41 | 99.84 30 | 99.94 12 | 99.91 21 | 99.13 60 | 99.96 37 | 99.83 9 | 99.99 12 | 99.83 18 |
|
DTE-MVSNet | | | 99.68 24 | 99.61 33 | 99.88 11 | 99.80 58 | 99.87 10 | 99.67 42 | 99.71 97 | 99.72 49 | 99.84 46 | 99.78 73 | 98.67 121 | 99.97 19 | 99.30 66 | 99.95 54 | 99.80 25 |
|
LTVRE_ROB | | 99.19 1 | 99.88 4 | 99.87 4 | 99.88 11 | 99.91 15 | 99.90 5 | 99.96 1 | 99.92 9 | 99.90 8 | 99.97 6 | 99.87 33 | 99.81 5 | 99.95 47 | 99.54 30 | 99.99 12 | 99.80 25 |
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016 |
CP-MVSNet | | | 99.54 50 | 99.43 66 | 99.87 14 | 99.76 87 | 99.82 29 | 99.57 70 | 99.61 149 | 99.54 90 | 99.80 63 | 99.64 149 | 97.79 216 | 99.95 47 | 99.21 76 | 99.94 67 | 99.84 14 |
|
WR-MVS_H | | | 99.61 38 | 99.53 52 | 99.87 14 | 99.80 58 | 99.83 25 | 99.67 42 | 99.75 77 | 99.58 89 | 99.85 43 | 99.69 121 | 98.18 187 | 99.94 61 | 99.28 71 | 99.95 54 | 99.83 18 |
|
UA-Net | | | 99.78 13 | 99.76 14 | 99.86 16 | 99.72 111 | 99.71 71 | 99.91 3 | 99.95 7 | 99.96 2 | 99.71 104 | 99.91 21 | 99.15 55 | 99.97 19 | 99.50 37 | 100.00 1 | 99.90 4 |
|
FC-MVSNet-test | | | 99.70 19 | 99.65 25 | 99.86 16 | 99.88 25 | 99.86 13 | 99.72 24 | 99.78 62 | 99.90 8 | 99.82 53 | 99.83 48 | 98.45 154 | 99.87 181 | 99.51 35 | 99.97 33 | 99.86 11 |
|
APDe-MVS | | | 99.48 58 | 99.36 79 | 99.85 18 | 99.55 184 | 99.81 32 | 99.50 77 | 99.69 108 | 98.99 173 | 99.75 84 | 99.71 108 | 98.79 104 | 99.93 75 | 98.46 148 | 99.85 127 | 99.80 25 |
|
FIs | | | 99.65 32 | 99.58 40 | 99.84 19 | 99.84 35 | 99.85 16 | 99.66 46 | 99.75 77 | 99.86 22 | 99.74 93 | 99.79 66 | 98.27 175 | 99.85 219 | 99.37 54 | 99.93 75 | 99.83 18 |
|
OurMVSNet-221017-0 | | | 99.75 15 | 99.71 16 | 99.84 19 | 99.96 4 | 99.83 25 | 99.83 6 | 99.85 28 | 99.80 39 | 99.93 15 | 99.93 15 | 98.54 139 | 99.93 75 | 99.59 23 | 99.98 24 | 99.76 41 |
|
test_0728_SECOND | | | | | 99.83 21 | 99.70 122 | 99.79 39 | 99.14 168 | 99.61 149 | | | | | 99.92 95 | 97.88 195 | 99.72 205 | 99.77 37 |
|
pmmvs6 | | | 99.86 6 | 99.86 6 | 99.83 21 | 99.94 10 | 99.90 5 | 99.83 6 | 99.91 12 | 99.85 27 | 99.94 12 | 99.95 13 | 99.73 8 | 99.90 137 | 99.65 17 | 99.97 33 | 99.69 57 |
|
DPE-MVS |  | | 99.14 154 | 98.92 184 | 99.82 23 | 99.57 173 | 99.77 45 | 98.74 244 | 99.60 161 | 98.55 223 | 99.76 78 | 99.69 121 | 98.23 181 | 99.92 95 | 96.39 300 | 99.75 184 | 99.76 41 |
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
nrg030 | | | 99.70 19 | 99.66 23 | 99.82 23 | 99.76 87 | 99.84 21 | 99.61 59 | 99.70 102 | 99.93 5 | 99.78 71 | 99.68 132 | 99.10 61 | 99.78 284 | 99.45 41 | 99.96 45 | 99.83 18 |
|
Baseline_NR-MVSNet | | | 99.49 56 | 99.37 76 | 99.82 23 | 99.91 15 | 99.84 21 | 98.83 228 | 99.86 24 | 99.68 60 | 99.65 125 | 99.88 30 | 97.67 224 | 99.87 181 | 99.03 103 | 99.86 123 | 99.76 41 |
|
MSP-MVS | | | 99.04 175 | 98.79 202 | 99.81 26 | 99.78 75 | 99.73 65 | 99.35 103 | 99.57 179 | 98.54 226 | 99.54 171 | 98.99 328 | 96.81 261 | 99.93 75 | 96.97 267 | 99.53 267 | 99.77 37 |
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
TransMVSNet (Re) | | | 99.78 13 | 99.77 12 | 99.81 26 | 99.91 15 | 99.85 16 | 99.75 16 | 99.86 24 | 99.70 55 | 99.91 21 | 99.89 27 | 99.60 19 | 99.87 181 | 99.59 23 | 99.74 192 | 99.71 50 |
|
XXY-MVS | | | 99.71 18 | 99.67 22 | 99.81 26 | 99.89 21 | 99.72 69 | 99.59 66 | 99.82 41 | 99.39 117 | 99.82 53 | 99.84 47 | 99.38 30 | 99.91 117 | 99.38 51 | 99.93 75 | 99.80 25 |
|
MP-MVS-pluss | | | 99.14 154 | 98.92 184 | 99.80 29 | 99.83 39 | 99.83 25 | 98.61 251 | 99.63 139 | 96.84 326 | 99.44 195 | 99.58 194 | 98.81 97 | 99.91 117 | 97.70 217 | 99.82 151 | 99.67 70 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
zzz-MVS | | | 99.30 108 | 99.14 120 | 99.80 29 | 99.81 53 | 99.81 32 | 98.73 246 | 99.53 205 | 99.27 132 | 99.42 201 | 99.63 159 | 98.21 182 | 99.95 47 | 97.83 204 | 99.79 169 | 99.65 88 |
|
MTAPA | | | 99.35 94 | 99.20 112 | 99.80 29 | 99.81 53 | 99.81 32 | 99.33 106 | 99.53 205 | 99.27 132 | 99.42 201 | 99.63 159 | 98.21 182 | 99.95 47 | 97.83 204 | 99.79 169 | 99.65 88 |
|
HPM-MVS_fast | | | 99.43 70 | 99.30 92 | 99.80 29 | 99.83 39 | 99.81 32 | 99.52 75 | 99.70 102 | 98.35 248 | 99.51 183 | 99.50 226 | 99.31 38 | 99.88 168 | 98.18 172 | 99.84 132 | 99.69 57 |
|
MIMVSNet1 | | | 99.66 27 | 99.62 29 | 99.80 29 | 99.94 10 | 99.87 10 | 99.69 35 | 99.77 65 | 99.78 42 | 99.93 15 | 99.89 27 | 97.94 203 | 99.92 95 | 99.65 17 | 99.98 24 | 99.62 113 |
|
ACMMP_NAP | | | 99.28 111 | 99.11 130 | 99.79 34 | 99.75 98 | 99.81 32 | 98.95 214 | 99.53 205 | 98.27 257 | 99.53 176 | 99.73 95 | 98.75 112 | 99.87 181 | 97.70 217 | 99.83 142 | 99.68 63 |
|
VPA-MVSNet | | | 99.66 27 | 99.62 29 | 99.79 34 | 99.68 135 | 99.75 56 | 99.62 54 | 99.69 108 | 99.85 27 | 99.80 63 | 99.81 58 | 98.81 97 | 99.91 117 | 99.47 39 | 99.88 107 | 99.70 53 |
|
Vis-MVSNet |  | | 99.75 15 | 99.74 15 | 99.79 34 | 99.88 25 | 99.66 89 | 99.69 35 | 99.92 9 | 99.67 64 | 99.77 76 | 99.75 88 | 99.61 17 | 99.98 8 | 99.35 56 | 99.98 24 | 99.72 47 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
GeoE | | | 99.69 21 | 99.66 23 | 99.78 37 | 99.76 87 | 99.76 52 | 99.60 64 | 99.82 41 | 99.46 106 | 99.75 84 | 99.56 205 | 99.63 14 | 99.95 47 | 99.43 43 | 99.88 107 | 99.62 113 |
|
pm-mvs1 | | | 99.79 12 | 99.79 11 | 99.78 37 | 99.91 15 | 99.83 25 | 99.76 14 | 99.87 21 | 99.73 46 | 99.89 27 | 99.87 33 | 99.63 14 | 99.87 181 | 99.54 30 | 99.92 79 | 99.63 102 |
|
HPM-MVS |  | | 99.25 118 | 99.07 145 | 99.78 37 | 99.81 53 | 99.75 56 | 99.61 59 | 99.67 116 | 97.72 288 | 99.35 220 | 99.25 291 | 99.23 48 | 99.92 95 | 97.21 256 | 99.82 151 | 99.67 70 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
DVP-MVS++ | | | 99.38 86 | 99.25 106 | 99.77 40 | 99.03 323 | 99.77 45 | 99.74 18 | 99.61 149 | 99.18 147 | 99.76 78 | 99.61 177 | 99.00 75 | 99.92 95 | 97.72 212 | 99.60 248 | 99.62 113 |
|
SED-MVS | | | 99.40 80 | 99.28 99 | 99.77 40 | 99.69 126 | 99.82 29 | 99.20 147 | 99.54 196 | 99.13 159 | 99.82 53 | 99.63 159 | 98.91 87 | 99.92 95 | 97.85 201 | 99.70 211 | 99.58 142 |
|
ZNCC-MVS | | | 99.22 131 | 99.04 157 | 99.77 40 | 99.76 87 | 99.73 65 | 99.28 124 | 99.56 184 | 98.19 262 | 99.14 261 | 99.29 282 | 98.84 96 | 99.92 95 | 97.53 233 | 99.80 164 | 99.64 97 |
|
DVP-MVS |  | | 99.32 105 | 99.17 115 | 99.77 40 | 99.69 126 | 99.80 37 | 99.14 168 | 99.31 278 | 99.16 153 | 99.62 139 | 99.61 177 | 98.35 167 | 99.91 117 | 97.88 195 | 99.72 205 | 99.61 124 |
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
region2R | | | 99.23 122 | 99.05 151 | 99.77 40 | 99.76 87 | 99.70 78 | 99.31 113 | 99.59 168 | 98.41 237 | 99.32 227 | 99.36 265 | 98.73 115 | 99.93 75 | 97.29 245 | 99.74 192 | 99.67 70 |
|
PGM-MVS | | | 99.20 138 | 99.01 163 | 99.77 40 | 99.75 98 | 99.71 71 | 99.16 164 | 99.72 94 | 97.99 272 | 99.42 201 | 99.60 186 | 98.81 97 | 99.93 75 | 96.91 270 | 99.74 192 | 99.66 80 |
|
TDRefinement | | | 99.72 17 | 99.70 17 | 99.77 40 | 99.90 19 | 99.85 16 | 99.86 5 | 99.92 9 | 99.69 58 | 99.78 71 | 99.92 18 | 99.37 32 | 99.88 168 | 98.93 118 | 99.95 54 | 99.60 128 |
|
KD-MVS_self_test | | | 99.63 33 | 99.59 36 | 99.76 47 | 99.84 35 | 99.90 5 | 99.37 99 | 99.79 57 | 99.83 33 | 99.88 33 | 99.85 42 | 98.42 158 | 99.90 137 | 99.60 22 | 99.73 199 | 99.49 190 |
|
Anonymous20231211 | | | 99.62 36 | 99.57 43 | 99.76 47 | 99.61 152 | 99.60 110 | 99.81 9 | 99.73 85 | 99.82 35 | 99.90 23 | 99.90 23 | 97.97 202 | 99.86 201 | 99.42 48 | 99.96 45 | 99.80 25 |
|
HFP-MVS | | | 99.25 118 | 99.08 141 | 99.76 47 | 99.73 107 | 99.70 78 | 99.31 113 | 99.59 168 | 98.36 243 | 99.36 218 | 99.37 260 | 98.80 101 | 99.91 117 | 97.43 238 | 99.75 184 | 99.68 63 |
|
#test# | | | 99.12 158 | 98.90 188 | 99.76 47 | 99.73 107 | 99.70 78 | 99.10 181 | 99.59 168 | 97.60 293 | 99.36 218 | 99.37 260 | 98.80 101 | 99.91 117 | 96.84 276 | 99.75 184 | 99.68 63 |
|
ACMMPR | | | 99.23 122 | 99.06 147 | 99.76 47 | 99.74 104 | 99.69 82 | 99.31 113 | 99.59 168 | 98.36 243 | 99.35 220 | 99.38 259 | 98.61 129 | 99.93 75 | 97.43 238 | 99.75 184 | 99.67 70 |
|
MP-MVS |  | | 99.06 169 | 98.83 197 | 99.76 47 | 99.76 87 | 99.71 71 | 99.32 109 | 99.50 221 | 98.35 248 | 98.97 276 | 99.48 234 | 98.37 165 | 99.92 95 | 95.95 320 | 99.75 184 | 99.63 102 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
TranMVSNet+NR-MVSNet | | | 99.54 50 | 99.47 56 | 99.76 47 | 99.58 163 | 99.64 96 | 99.30 116 | 99.63 139 | 99.61 80 | 99.71 104 | 99.56 205 | 98.76 110 | 99.96 37 | 99.14 96 | 99.92 79 | 99.68 63 |
|
mPP-MVS | | | 99.19 141 | 99.00 166 | 99.76 47 | 99.76 87 | 99.68 85 | 99.38 95 | 99.54 196 | 98.34 252 | 99.01 274 | 99.50 226 | 98.53 143 | 99.93 75 | 97.18 258 | 99.78 175 | 99.66 80 |
|
SixPastTwentyTwo | | | 99.42 73 | 99.30 92 | 99.76 47 | 99.92 14 | 99.67 87 | 99.70 29 | 99.14 309 | 99.65 70 | 99.89 27 | 99.90 23 | 96.20 278 | 99.94 61 | 99.42 48 | 99.92 79 | 99.67 70 |
|
SteuartSystems-ACMMP | | | 99.30 108 | 99.14 120 | 99.76 47 | 99.87 29 | 99.66 89 | 99.18 153 | 99.60 161 | 98.55 223 | 99.57 157 | 99.67 138 | 99.03 74 | 99.94 61 | 97.01 265 | 99.80 164 | 99.69 57 |
Skip Steuart: Steuart Systems R&D Blog. |
GST-MVS | | | 99.16 150 | 98.96 177 | 99.75 57 | 99.73 107 | 99.73 65 | 99.20 147 | 99.55 190 | 98.22 259 | 99.32 227 | 99.35 270 | 98.65 125 | 99.91 117 | 96.86 273 | 99.74 192 | 99.62 113 |
|
test_part1 | | | 98.63 229 | 98.26 252 | 99.75 57 | 99.40 245 | 99.49 129 | 99.67 42 | 99.68 111 | 99.86 22 | 99.88 33 | 99.86 39 | 86.73 362 | 99.93 75 | 99.34 57 | 99.97 33 | 99.81 24 |
|
XVS | | | 99.27 115 | 99.11 130 | 99.75 57 | 99.71 114 | 99.71 71 | 99.37 99 | 99.61 149 | 99.29 128 | 98.76 303 | 99.47 239 | 98.47 150 | 99.88 168 | 97.62 225 | 99.73 199 | 99.67 70 |
|
X-MVStestdata | | | 96.09 329 | 94.87 339 | 99.75 57 | 99.71 114 | 99.71 71 | 99.37 99 | 99.61 149 | 99.29 128 | 98.76 303 | 61.30 383 | 98.47 150 | 99.88 168 | 97.62 225 | 99.73 199 | 99.67 70 |
|
abl_6 | | | 99.36 92 | 99.23 110 | 99.75 57 | 99.71 114 | 99.74 62 | 99.33 106 | 99.76 70 | 99.07 166 | 99.65 125 | 99.63 159 | 99.09 63 | 99.92 95 | 97.13 261 | 99.76 181 | 99.58 142 |
|
CP-MVS | | | 99.23 122 | 99.05 151 | 99.75 57 | 99.66 141 | 99.66 89 | 99.38 95 | 99.62 142 | 98.38 241 | 99.06 272 | 99.27 286 | 98.79 104 | 99.94 61 | 97.51 234 | 99.82 151 | 99.66 80 |
|
MSC_two_6792asdad | | | | | 99.74 63 | 99.03 323 | 99.53 124 | | 99.23 296 | | | | | 99.92 95 | 97.77 206 | 99.69 214 | 99.78 33 |
|
No_MVS | | | | | 99.74 63 | 99.03 323 | 99.53 124 | | 99.23 296 | | | | | 99.92 95 | 97.77 206 | 99.69 214 | 99.78 33 |
|
test1172 | | | 99.23 122 | 99.05 151 | 99.74 63 | 99.52 197 | 99.75 56 | 99.20 147 | 99.61 149 | 98.97 175 | 99.48 187 | 99.58 194 | 98.41 159 | 99.91 117 | 97.15 260 | 99.55 259 | 99.57 148 |
|
SR-MVS | | | 99.19 141 | 99.00 166 | 99.74 63 | 99.51 202 | 99.72 69 | 99.18 153 | 99.60 161 | 98.85 193 | 99.47 189 | 99.58 194 | 98.38 164 | 99.92 95 | 96.92 269 | 99.54 265 | 99.57 148 |
|
HPM-MVS++ |  | | 98.96 191 | 98.70 209 | 99.74 63 | 99.52 197 | 99.71 71 | 98.86 223 | 99.19 304 | 98.47 233 | 98.59 315 | 99.06 317 | 98.08 193 | 99.91 117 | 96.94 268 | 99.60 248 | 99.60 128 |
|
APD-MVS_3200maxsize | | | 99.31 107 | 99.16 116 | 99.74 63 | 99.53 192 | 99.75 56 | 99.27 127 | 99.61 149 | 99.19 146 | 99.57 157 | 99.64 149 | 98.76 110 | 99.90 137 | 97.29 245 | 99.62 238 | 99.56 151 |
|
LPG-MVS_test | | | 99.22 131 | 99.05 151 | 99.74 63 | 99.82 46 | 99.63 100 | 99.16 164 | 99.73 85 | 97.56 294 | 99.64 127 | 99.69 121 | 99.37 32 | 99.89 153 | 96.66 286 | 99.87 116 | 99.69 57 |
|
LGP-MVS_train | | | | | 99.74 63 | 99.82 46 | 99.63 100 | | 99.73 85 | 97.56 294 | 99.64 127 | 99.69 121 | 99.37 32 | 99.89 153 | 96.66 286 | 99.87 116 | 99.69 57 |
|
DP-MVS | | | 99.48 58 | 99.39 71 | 99.74 63 | 99.57 173 | 99.62 102 | 99.29 123 | 99.61 149 | 99.87 20 | 99.74 93 | 99.76 83 | 98.69 117 | 99.87 181 | 98.20 168 | 99.80 164 | 99.75 44 |
|
ACMMP |  | | 99.25 118 | 99.08 141 | 99.74 63 | 99.79 68 | 99.68 85 | 99.50 77 | 99.65 131 | 98.07 268 | 99.52 178 | 99.69 121 | 98.57 134 | 99.92 95 | 97.18 258 | 99.79 169 | 99.63 102 |
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
SR-MVS-dyc-post | | | 99.27 115 | 99.11 130 | 99.73 73 | 99.54 186 | 99.74 62 | 99.26 129 | 99.62 142 | 99.16 153 | 99.52 178 | 99.64 149 | 98.41 159 | 99.91 117 | 97.27 248 | 99.61 245 | 99.54 162 |
|
SMA-MVS |  | | 99.19 141 | 99.00 166 | 99.73 73 | 99.46 229 | 99.73 65 | 99.13 174 | 99.52 213 | 97.40 305 | 99.57 157 | 99.64 149 | 98.93 84 | 99.83 247 | 97.61 227 | 99.79 169 | 99.63 102 |
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology |
GBi-Net | | | 99.42 73 | 99.31 87 | 99.73 73 | 99.49 213 | 99.77 45 | 99.68 38 | 99.70 102 | 99.44 109 | 99.62 139 | 99.83 48 | 97.21 247 | 99.90 137 | 98.96 112 | 99.90 89 | 99.53 167 |
|
test1 | | | 99.42 73 | 99.31 87 | 99.73 73 | 99.49 213 | 99.77 45 | 99.68 38 | 99.70 102 | 99.44 109 | 99.62 139 | 99.83 48 | 97.21 247 | 99.90 137 | 98.96 112 | 99.90 89 | 99.53 167 |
|
FMVSNet1 | | | 99.66 27 | 99.63 28 | 99.73 73 | 99.78 75 | 99.77 45 | 99.68 38 | 99.70 102 | 99.67 64 | 99.82 53 | 99.83 48 | 98.98 78 | 99.90 137 | 99.24 73 | 99.97 33 | 99.53 167 |
|
HyFIR lowres test | | | 98.91 197 | 98.64 212 | 99.73 73 | 99.85 34 | 99.47 132 | 98.07 305 | 99.83 36 | 98.64 214 | 99.89 27 | 99.60 186 | 92.57 316 | 100.00 1 | 99.33 61 | 99.97 33 | 99.72 47 |
|
testtj | | | 98.56 239 | 98.17 262 | 99.72 79 | 99.45 232 | 99.60 110 | 98.88 219 | 99.50 221 | 96.88 323 | 99.18 256 | 99.48 234 | 97.08 254 | 99.92 95 | 93.69 357 | 99.38 289 | 99.63 102 |
|
UniMVSNet_NR-MVSNet | | | 99.37 89 | 99.25 106 | 99.72 79 | 99.47 224 | 99.56 119 | 98.97 212 | 99.61 149 | 99.43 114 | 99.67 117 | 99.28 284 | 97.85 212 | 99.95 47 | 99.17 86 | 99.81 159 | 99.65 88 |
|
ACMM | | 98.09 11 | 99.46 65 | 99.38 73 | 99.72 79 | 99.80 58 | 99.69 82 | 99.13 174 | 99.65 131 | 98.99 173 | 99.64 127 | 99.72 101 | 99.39 26 | 99.86 201 | 98.23 165 | 99.81 159 | 99.60 128 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
ACMH | | 98.42 6 | 99.59 40 | 99.54 48 | 99.72 79 | 99.86 31 | 99.62 102 | 99.56 72 | 99.79 57 | 98.77 204 | 99.80 63 | 99.85 42 | 99.64 13 | 99.85 219 | 98.70 136 | 99.89 99 | 99.70 53 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
VPNet | | | 99.46 65 | 99.37 76 | 99.71 83 | 99.82 46 | 99.59 113 | 99.48 81 | 99.70 102 | 99.81 36 | 99.69 110 | 99.58 194 | 97.66 228 | 99.86 201 | 99.17 86 | 99.44 280 | 99.67 70 |
|
DU-MVS | | | 99.33 103 | 99.21 111 | 99.71 83 | 99.43 236 | 99.56 119 | 98.83 228 | 99.53 205 | 99.38 118 | 99.67 117 | 99.36 265 | 97.67 224 | 99.95 47 | 99.17 86 | 99.81 159 | 99.63 102 |
|
APD-MVS |  | | 98.87 205 | 98.59 217 | 99.71 83 | 99.50 208 | 99.62 102 | 99.01 199 | 99.57 179 | 96.80 328 | 99.54 171 | 99.63 159 | 98.29 173 | 99.91 117 | 95.24 337 | 99.71 209 | 99.61 124 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
ACMH+ | | 98.40 8 | 99.50 54 | 99.43 66 | 99.71 83 | 99.86 31 | 99.76 52 | 99.32 109 | 99.77 65 | 99.53 92 | 99.77 76 | 99.76 83 | 99.26 46 | 99.78 284 | 97.77 206 | 99.88 107 | 99.60 128 |
|
COLMAP_ROB |  | 98.06 12 | 99.45 67 | 99.37 76 | 99.70 87 | 99.83 39 | 99.70 78 | 99.38 95 | 99.78 62 | 99.53 92 | 99.67 117 | 99.78 73 | 99.19 51 | 99.86 201 | 97.32 243 | 99.87 116 | 99.55 154 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
K. test v3 | | | 98.87 205 | 98.60 215 | 99.69 88 | 99.93 13 | 99.46 136 | 99.74 18 | 94.97 369 | 99.78 42 | 99.88 33 | 99.88 30 | 93.66 307 | 99.97 19 | 99.61 21 | 99.95 54 | 99.64 97 |
|
UniMVSNet (Re) | | | 99.37 89 | 99.26 104 | 99.68 89 | 99.51 202 | 99.58 116 | 98.98 210 | 99.60 161 | 99.43 114 | 99.70 107 | 99.36 265 | 97.70 219 | 99.88 168 | 99.20 79 | 99.87 116 | 99.59 137 |
|
NR-MVSNet | | | 99.40 80 | 99.31 87 | 99.68 89 | 99.43 236 | 99.55 122 | 99.73 21 | 99.50 221 | 99.46 106 | 99.88 33 | 99.36 265 | 97.54 232 | 99.87 181 | 98.97 110 | 99.87 116 | 99.63 102 |
|
DROMVSNet | | | 99.69 21 | 99.69 19 | 99.68 89 | 99.71 114 | 99.91 2 | 99.76 14 | 99.96 5 | 99.86 22 | 99.51 183 | 99.39 257 | 99.57 20 | 99.93 75 | 99.64 20 | 99.86 123 | 99.20 266 |
|
LCM-MVSNet-Re | | | 99.28 111 | 99.15 119 | 99.67 92 | 99.33 272 | 99.76 52 | 99.34 104 | 99.97 2 | 98.93 183 | 99.91 21 | 99.79 66 | 98.68 118 | 99.93 75 | 96.80 278 | 99.56 255 | 99.30 246 |
|
casdiffmvs | | | 99.63 33 | 99.61 33 | 99.67 92 | 99.79 68 | 99.59 113 | 99.13 174 | 99.85 28 | 99.79 41 | 99.76 78 | 99.72 101 | 99.33 37 | 99.82 257 | 99.21 76 | 99.94 67 | 99.59 137 |
|
1112_ss | | | 99.05 172 | 98.84 195 | 99.67 92 | 99.66 141 | 99.29 179 | 98.52 266 | 99.82 41 | 97.65 291 | 99.43 199 | 99.16 305 | 96.42 270 | 99.91 117 | 99.07 101 | 99.84 132 | 99.80 25 |
|
DeepPCF-MVS | | 98.42 6 | 99.18 145 | 99.02 160 | 99.67 92 | 99.22 292 | 99.75 56 | 97.25 353 | 99.47 232 | 98.72 209 | 99.66 121 | 99.70 115 | 99.29 40 | 99.63 347 | 98.07 181 | 99.81 159 | 99.62 113 |
|
DeepC-MVS | | 98.90 4 | 99.62 36 | 99.61 33 | 99.67 92 | 99.72 111 | 99.44 143 | 99.24 137 | 99.71 97 | 99.27 132 | 99.93 15 | 99.90 23 | 99.70 11 | 99.93 75 | 98.99 106 | 99.99 12 | 99.64 97 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
ACMP | | 97.51 14 | 99.05 172 | 98.84 195 | 99.67 92 | 99.78 75 | 99.55 122 | 98.88 219 | 99.66 120 | 97.11 320 | 99.47 189 | 99.60 186 | 99.07 69 | 99.89 153 | 96.18 309 | 99.85 127 | 99.58 142 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
3Dnovator+ | | 98.92 3 | 99.35 94 | 99.24 108 | 99.67 92 | 99.35 257 | 99.47 132 | 99.62 54 | 99.50 221 | 99.44 109 | 99.12 264 | 99.78 73 | 98.77 109 | 99.94 61 | 97.87 198 | 99.72 205 | 99.62 113 |
|
v10 | | | 99.69 21 | 99.69 19 | 99.66 99 | 99.81 53 | 99.39 157 | 99.66 46 | 99.75 77 | 99.60 86 | 99.92 19 | 99.87 33 | 98.75 112 | 99.86 201 | 99.90 2 | 99.99 12 | 99.73 46 |
|
WR-MVS | | | 99.11 162 | 98.93 180 | 99.66 99 | 99.30 278 | 99.42 150 | 98.42 276 | 99.37 265 | 99.04 171 | 99.57 157 | 99.20 302 | 96.89 259 | 99.86 201 | 98.66 140 | 99.87 116 | 99.70 53 |
|
XVG-OURS-SEG-HR | | | 99.16 150 | 98.99 171 | 99.66 99 | 99.84 35 | 99.64 96 | 98.25 288 | 99.73 85 | 98.39 240 | 99.63 131 | 99.43 247 | 99.70 11 | 99.90 137 | 97.34 242 | 98.64 339 | 99.44 211 |
|
baseline | | | 99.63 33 | 99.62 29 | 99.66 99 | 99.80 58 | 99.62 102 | 99.44 87 | 99.80 51 | 99.71 50 | 99.72 99 | 99.69 121 | 99.15 55 | 99.83 247 | 99.32 63 | 99.94 67 | 99.53 167 |
|
EPP-MVSNet | | | 99.17 149 | 99.00 166 | 99.66 99 | 99.80 58 | 99.43 147 | 99.70 29 | 99.24 295 | 99.48 97 | 99.56 164 | 99.77 80 | 94.89 292 | 99.93 75 | 98.72 135 | 99.89 99 | 99.63 102 |
|
Anonymous20240529 | | | 99.42 73 | 99.34 81 | 99.65 104 | 99.53 192 | 99.60 110 | 99.63 53 | 99.39 258 | 99.47 102 | 99.76 78 | 99.78 73 | 98.13 189 | 99.86 201 | 98.70 136 | 99.68 219 | 99.49 190 |
|
v8 | | | 99.68 24 | 99.69 19 | 99.65 104 | 99.80 58 | 99.40 155 | 99.66 46 | 99.76 70 | 99.64 72 | 99.93 15 | 99.85 42 | 98.66 123 | 99.84 236 | 99.88 6 | 99.99 12 | 99.71 50 |
|
MCST-MVS | | | 99.02 178 | 98.81 199 | 99.65 104 | 99.58 163 | 99.49 129 | 98.58 255 | 99.07 312 | 98.40 239 | 99.04 273 | 99.25 291 | 98.51 148 | 99.80 278 | 97.31 244 | 99.51 270 | 99.65 88 |
|
XVG-OURS | | | 99.21 136 | 99.06 147 | 99.65 104 | 99.82 46 | 99.62 102 | 97.87 326 | 99.74 82 | 98.36 243 | 99.66 121 | 99.68 132 | 99.71 9 | 99.90 137 | 96.84 276 | 99.88 107 | 99.43 217 |
|
CHOSEN 1792x2688 | | | 99.39 84 | 99.30 92 | 99.65 104 | 99.88 25 | 99.25 189 | 98.78 240 | 99.88 19 | 98.66 212 | 99.96 8 | 99.79 66 | 97.45 235 | 99.93 75 | 99.34 57 | 99.99 12 | 99.78 33 |
|
QAPM | | | 98.40 259 | 97.99 272 | 99.65 104 | 99.39 247 | 99.47 132 | 99.67 42 | 99.52 213 | 91.70 365 | 98.78 301 | 99.80 60 | 98.55 137 | 99.95 47 | 94.71 345 | 99.75 184 | 99.53 167 |
|
3Dnovator | | 99.15 2 | 99.43 70 | 99.36 79 | 99.65 104 | 99.39 247 | 99.42 150 | 99.70 29 | 99.56 184 | 99.23 140 | 99.35 220 | 99.80 60 | 99.17 53 | 99.95 47 | 98.21 167 | 99.84 132 | 99.59 137 |
|
patch_mono-2 | | | 99.51 53 | 99.46 60 | 99.64 111 | 99.70 122 | 99.11 212 | 99.04 193 | 99.87 21 | 99.71 50 | 99.47 189 | 99.79 66 | 98.24 177 | 99.98 8 | 99.38 51 | 99.96 45 | 99.83 18 |
|
EGC-MVSNET | | | 89.05 342 | 85.52 345 | 99.64 111 | 99.89 21 | 99.78 42 | 99.56 72 | 99.52 213 | 24.19 376 | 49.96 377 | 99.83 48 | 99.15 55 | 99.92 95 | 97.71 214 | 99.85 127 | 99.21 262 |
|
lessismore_v0 | | | | | 99.64 111 | 99.86 31 | 99.38 160 | | 90.66 377 | | 99.89 27 | 99.83 48 | 94.56 297 | 99.97 19 | 99.56 28 | 99.92 79 | 99.57 148 |
|
114514_t | | | 98.49 250 | 98.11 266 | 99.64 111 | 99.73 107 | 99.58 116 | 99.24 137 | 99.76 70 | 89.94 368 | 99.42 201 | 99.56 205 | 97.76 218 | 99.86 201 | 97.74 211 | 99.82 151 | 99.47 200 |
|
CPTT-MVS | | | 98.74 219 | 98.44 234 | 99.64 111 | 99.61 152 | 99.38 160 | 99.18 153 | 99.55 190 | 96.49 331 | 99.27 238 | 99.37 260 | 97.11 253 | 99.92 95 | 95.74 327 | 99.67 226 | 99.62 113 |
|
RPSCF | | | 99.18 145 | 99.02 160 | 99.64 111 | 99.83 39 | 99.85 16 | 99.44 87 | 99.82 41 | 98.33 253 | 99.50 185 | 99.78 73 | 97.90 206 | 99.65 344 | 96.78 279 | 99.83 142 | 99.44 211 |
|
Anonymous202405211 | | | 98.75 217 | 98.46 231 | 99.63 117 | 99.34 267 | 99.66 89 | 99.47 83 | 97.65 354 | 99.28 131 | 99.56 164 | 99.50 226 | 93.15 311 | 99.84 236 | 98.62 141 | 99.58 253 | 99.40 223 |
|
TSAR-MVS + MP. | | | 99.34 99 | 99.24 108 | 99.63 117 | 99.82 46 | 99.37 163 | 99.26 129 | 99.35 269 | 98.77 204 | 99.57 157 | 99.70 115 | 99.27 45 | 99.88 168 | 97.71 214 | 99.75 184 | 99.65 88 |
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
OPM-MVS | | | 99.26 117 | 99.13 123 | 99.63 117 | 99.70 122 | 99.61 108 | 98.58 255 | 99.48 228 | 98.50 229 | 99.52 178 | 99.63 159 | 99.14 58 | 99.76 294 | 97.89 194 | 99.77 179 | 99.51 179 |
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
AllTest | | | 99.21 136 | 99.07 145 | 99.63 117 | 99.78 75 | 99.64 96 | 99.12 178 | 99.83 36 | 98.63 215 | 99.63 131 | 99.72 101 | 98.68 118 | 99.75 298 | 96.38 301 | 99.83 142 | 99.51 179 |
|
TestCases | | | | | 99.63 117 | 99.78 75 | 99.64 96 | | 99.83 36 | 98.63 215 | 99.63 131 | 99.72 101 | 98.68 118 | 99.75 298 | 96.38 301 | 99.83 142 | 99.51 179 |
|
V42 | | | 99.56 45 | 99.54 48 | 99.63 117 | 99.79 68 | 99.46 136 | 99.39 93 | 99.59 168 | 99.24 138 | 99.86 41 | 99.70 115 | 98.55 137 | 99.82 257 | 99.79 11 | 99.95 54 | 99.60 128 |
|
XVG-ACMP-BASELINE | | | 99.23 122 | 99.10 138 | 99.63 117 | 99.82 46 | 99.58 116 | 98.83 228 | 99.72 94 | 98.36 243 | 99.60 147 | 99.71 108 | 98.92 85 | 99.91 117 | 97.08 263 | 99.84 132 | 99.40 223 |
|
Test_1112_low_res | | | 98.95 194 | 98.73 204 | 99.63 117 | 99.68 135 | 99.15 209 | 98.09 302 | 99.80 51 | 97.14 318 | 99.46 193 | 99.40 253 | 96.11 280 | 99.89 153 | 99.01 105 | 99.84 132 | 99.84 14 |
|
TAMVS | | | 99.49 56 | 99.45 61 | 99.63 117 | 99.48 219 | 99.42 150 | 99.45 84 | 99.57 179 | 99.66 68 | 99.78 71 | 99.83 48 | 97.85 212 | 99.86 201 | 99.44 42 | 99.96 45 | 99.61 124 |
|
SF-MVS | | | 99.10 166 | 98.93 180 | 99.62 126 | 99.58 163 | 99.51 127 | 99.13 174 | 99.65 131 | 97.97 274 | 99.42 201 | 99.61 177 | 98.86 93 | 99.87 181 | 96.45 298 | 99.68 219 | 99.49 190 |
|
EG-PatchMatch MVS | | | 99.57 42 | 99.56 47 | 99.62 126 | 99.77 83 | 99.33 173 | 99.26 129 | 99.76 70 | 99.32 126 | 99.80 63 | 99.78 73 | 99.29 40 | 99.87 181 | 99.15 90 | 99.91 88 | 99.66 80 |
|
F-COLMAP | | | 98.74 219 | 98.45 232 | 99.62 126 | 99.57 173 | 99.47 132 | 98.84 226 | 99.65 131 | 96.31 335 | 98.93 280 | 99.19 304 | 97.68 223 | 99.87 181 | 96.52 293 | 99.37 293 | 99.53 167 |
|
CDPH-MVS | | | 98.56 239 | 98.20 257 | 99.61 129 | 99.50 208 | 99.46 136 | 98.32 282 | 99.41 248 | 95.22 349 | 99.21 250 | 99.10 314 | 98.34 169 | 99.82 257 | 95.09 340 | 99.66 230 | 99.56 151 |
|
LS3D | | | 99.24 121 | 99.11 130 | 99.61 129 | 98.38 362 | 99.79 39 | 99.57 70 | 99.68 111 | 99.61 80 | 99.15 259 | 99.71 108 | 98.70 116 | 99.91 117 | 97.54 231 | 99.68 219 | 99.13 284 |
|
tfpnnormal | | | 99.43 70 | 99.38 73 | 99.60 131 | 99.87 29 | 99.75 56 | 99.59 66 | 99.78 62 | 99.71 50 | 99.90 23 | 99.69 121 | 98.85 95 | 99.90 137 | 97.25 253 | 99.78 175 | 99.15 277 |
|
CS-MVS-test | | | 99.59 40 | 99.59 36 | 99.60 131 | 99.55 184 | 99.86 13 | 99.60 64 | 99.94 8 | 99.90 8 | 99.59 150 | 98.89 343 | 99.24 47 | 99.95 47 | 99.66 16 | 99.90 89 | 98.98 309 |
|
CSCG | | | 99.37 89 | 99.29 97 | 99.60 131 | 99.71 114 | 99.46 136 | 99.43 89 | 99.85 28 | 98.79 201 | 99.41 209 | 99.60 186 | 98.92 85 | 99.92 95 | 98.02 182 | 99.92 79 | 99.43 217 |
|
ETH3D-3000-0.1 | | | 98.77 214 | 98.50 229 | 99.59 134 | 99.47 224 | 99.53 124 | 98.77 241 | 99.60 161 | 97.33 309 | 99.23 244 | 99.50 226 | 97.91 205 | 99.83 247 | 95.02 341 | 99.67 226 | 99.41 221 |
|
CS-MVS | | | 99.67 26 | 99.70 17 | 99.59 134 | 99.54 186 | 99.86 13 | 99.80 10 | 99.96 5 | 99.90 8 | 99.59 150 | 99.41 249 | 99.51 23 | 99.95 47 | 99.65 17 | 99.90 89 | 98.97 310 |
|
v1144 | | | 99.54 50 | 99.53 52 | 99.59 134 | 99.79 68 | 99.28 181 | 99.10 181 | 99.61 149 | 99.20 145 | 99.84 46 | 99.73 95 | 98.67 121 | 99.84 236 | 99.86 8 | 99.98 24 | 99.64 97 |
|
UnsupCasMVSNet_eth | | | 98.83 208 | 98.57 221 | 99.59 134 | 99.68 135 | 99.45 141 | 98.99 206 | 99.67 116 | 99.48 97 | 99.55 169 | 99.36 265 | 94.92 291 | 99.86 201 | 98.95 116 | 96.57 368 | 99.45 206 |
|
PHI-MVS | | | 99.11 162 | 98.95 179 | 99.59 134 | 99.13 307 | 99.59 113 | 99.17 158 | 99.65 131 | 97.88 280 | 99.25 240 | 99.46 242 | 98.97 80 | 99.80 278 | 97.26 250 | 99.82 151 | 99.37 231 |
|
v144192 | | | 99.55 48 | 99.54 48 | 99.58 139 | 99.78 75 | 99.20 204 | 99.11 180 | 99.62 142 | 99.18 147 | 99.89 27 | 99.72 101 | 98.66 123 | 99.87 181 | 99.88 6 | 99.97 33 | 99.66 80 |
|
v2v482 | | | 99.50 54 | 99.47 56 | 99.58 139 | 99.78 75 | 99.25 189 | 99.14 168 | 99.58 177 | 99.25 136 | 99.81 60 | 99.62 168 | 98.24 177 | 99.84 236 | 99.83 9 | 99.97 33 | 99.64 97 |
|
test20.03 | | | 99.55 48 | 99.54 48 | 99.58 139 | 99.79 68 | 99.37 163 | 99.02 197 | 99.89 16 | 99.60 86 | 99.82 53 | 99.62 168 | 98.81 97 | 99.89 153 | 99.43 43 | 99.86 123 | 99.47 200 |
|
PM-MVS | | | 99.36 92 | 99.29 97 | 99.58 139 | 99.83 39 | 99.66 89 | 98.95 214 | 99.86 24 | 98.85 193 | 99.81 60 | 99.73 95 | 98.40 163 | 99.92 95 | 98.36 153 | 99.83 142 | 99.17 273 |
|
NCCC | | | 98.82 210 | 98.57 221 | 99.58 139 | 99.21 294 | 99.31 176 | 98.61 251 | 99.25 292 | 98.65 213 | 98.43 325 | 99.26 289 | 97.86 210 | 99.81 273 | 96.55 291 | 99.27 306 | 99.61 124 |
|
train_agg | | | 98.35 264 | 97.95 276 | 99.57 144 | 99.35 257 | 99.35 170 | 98.11 300 | 99.41 248 | 94.90 353 | 97.92 346 | 98.99 328 | 98.02 197 | 99.85 219 | 95.38 335 | 99.44 280 | 99.50 185 |
|
agg_prior1 | | | 98.33 266 | 97.92 282 | 99.57 144 | 99.35 257 | 99.36 166 | 97.99 314 | 99.39 258 | 94.85 356 | 97.76 355 | 98.98 331 | 98.03 195 | 99.85 219 | 95.49 331 | 99.44 280 | 99.51 179 |
|
v1192 | | | 99.57 42 | 99.57 43 | 99.57 144 | 99.77 83 | 99.22 198 | 99.04 193 | 99.60 161 | 99.18 147 | 99.87 40 | 99.72 101 | 99.08 67 | 99.85 219 | 99.89 5 | 99.98 24 | 99.66 80 |
|
PMMVS2 | | | 99.48 58 | 99.45 61 | 99.57 144 | 99.76 87 | 98.99 225 | 98.09 302 | 99.90 15 | 98.95 179 | 99.78 71 | 99.58 194 | 99.57 20 | 99.93 75 | 99.48 38 | 99.95 54 | 99.79 31 |
|
VNet | | | 99.18 145 | 99.06 147 | 99.56 148 | 99.24 290 | 99.36 166 | 99.33 106 | 99.31 278 | 99.67 64 | 99.47 189 | 99.57 202 | 96.48 267 | 99.84 236 | 99.15 90 | 99.30 301 | 99.47 200 |
|
CNVR-MVS | | | 98.99 187 | 98.80 201 | 99.56 148 | 99.25 288 | 99.43 147 | 98.54 264 | 99.27 287 | 98.58 220 | 98.80 298 | 99.43 247 | 98.53 143 | 99.70 311 | 97.22 255 | 99.59 252 | 99.54 162 |
|
DeepC-MVS_fast | | 98.47 5 | 99.23 122 | 99.12 127 | 99.56 148 | 99.28 283 | 99.22 198 | 98.99 206 | 99.40 255 | 99.08 164 | 99.58 154 | 99.64 149 | 98.90 90 | 99.83 247 | 97.44 237 | 99.75 184 | 99.63 102 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
v1921920 | | | 99.56 45 | 99.57 43 | 99.55 151 | 99.75 98 | 99.11 212 | 99.05 191 | 99.61 149 | 99.15 157 | 99.88 33 | 99.71 108 | 99.08 67 | 99.87 181 | 99.90 2 | 99.97 33 | 99.66 80 |
|
HQP_MVS | | | 98.90 199 | 98.68 211 | 99.55 151 | 99.58 163 | 99.24 194 | 98.80 236 | 99.54 196 | 98.94 180 | 99.14 261 | 99.25 291 | 97.24 245 | 99.82 257 | 95.84 323 | 99.78 175 | 99.60 128 |
|
FMVSNet2 | | | 99.35 94 | 99.28 99 | 99.55 151 | 99.49 213 | 99.35 170 | 99.45 84 | 99.57 179 | 99.44 109 | 99.70 107 | 99.74 91 | 97.21 247 | 99.87 181 | 99.03 103 | 99.94 67 | 99.44 211 |
|
IS-MVSNet | | | 99.03 176 | 98.85 193 | 99.55 151 | 99.80 58 | 99.25 189 | 99.73 21 | 99.15 308 | 99.37 119 | 99.61 145 | 99.71 108 | 94.73 295 | 99.81 273 | 97.70 217 | 99.88 107 | 99.58 142 |
|
xxxxxxxxxxxxxcwj | | | 99.11 162 | 98.96 177 | 99.54 155 | 99.53 192 | 99.25 189 | 98.29 284 | 99.76 70 | 99.07 166 | 99.42 201 | 99.61 177 | 98.86 93 | 99.87 181 | 96.45 298 | 99.68 219 | 99.49 190 |
|
test12 | | | | | 99.54 155 | 99.29 280 | 99.33 173 | | 99.16 307 | | 98.43 325 | | 97.54 232 | 99.82 257 | | 99.47 277 | 99.48 195 |
|
dcpmvs_2 | | | 99.61 38 | 99.64 27 | 99.53 157 | 99.79 68 | 98.82 244 | 99.58 68 | 99.97 2 | 99.95 3 | 99.96 8 | 99.76 83 | 98.44 155 | 99.99 5 | 99.34 57 | 99.96 45 | 99.78 33 |
|
Regformer-2 | | | 99.34 99 | 99.27 102 | 99.53 157 | 99.41 242 | 99.10 217 | 98.99 206 | 99.53 205 | 99.47 102 | 99.66 121 | 99.52 219 | 98.80 101 | 99.89 153 | 98.31 159 | 99.74 192 | 99.60 128 |
|
Effi-MVS+-dtu | | | 99.07 168 | 98.92 184 | 99.52 159 | 98.89 336 | 99.78 42 | 99.15 166 | 99.66 120 | 99.34 122 | 98.92 283 | 99.24 296 | 97.69 221 | 99.98 8 | 98.11 178 | 99.28 303 | 98.81 324 |
|
新几何1 | | | | | 99.52 159 | 99.50 208 | 99.22 198 | | 99.26 289 | 95.66 345 | 98.60 314 | 99.28 284 | 97.67 224 | 99.89 153 | 95.95 320 | 99.32 299 | 99.45 206 |
|
1121 | | | 98.56 239 | 98.24 253 | 99.52 159 | 99.49 213 | 99.24 194 | 99.30 116 | 99.22 299 | 95.77 342 | 98.52 320 | 99.29 282 | 97.39 239 | 99.85 219 | 95.79 325 | 99.34 296 | 99.46 204 |
|
ETH3D cwj APD-0.16 | | | 98.50 247 | 98.16 263 | 99.51 162 | 99.04 322 | 99.39 157 | 98.47 270 | 99.47 232 | 96.70 330 | 98.78 301 | 99.33 274 | 97.62 231 | 99.86 201 | 94.69 346 | 99.38 289 | 99.28 251 |
|
pmmvs-eth3d | | | 99.48 58 | 99.47 56 | 99.51 162 | 99.77 83 | 99.41 154 | 98.81 233 | 99.66 120 | 99.42 116 | 99.75 84 | 99.66 142 | 99.20 50 | 99.76 294 | 98.98 108 | 99.99 12 | 99.36 234 |
|
v1240 | | | 99.56 45 | 99.58 40 | 99.51 162 | 99.80 58 | 99.00 224 | 99.00 201 | 99.65 131 | 99.15 157 | 99.90 23 | 99.75 88 | 99.09 63 | 99.88 168 | 99.90 2 | 99.96 45 | 99.67 70 |
|
ETH3 D test6400 | | | 97.76 288 | 97.19 305 | 99.50 165 | 99.38 250 | 99.26 185 | 98.34 279 | 99.49 226 | 92.99 362 | 98.54 319 | 99.20 302 | 95.92 284 | 99.82 257 | 91.14 364 | 99.66 230 | 99.40 223 |
|
Regformer-4 | | | 99.45 67 | 99.44 63 | 99.50 165 | 99.52 197 | 98.94 232 | 99.17 158 | 99.53 205 | 99.64 72 | 99.76 78 | 99.60 186 | 98.96 83 | 99.90 137 | 98.91 119 | 99.84 132 | 99.67 70 |
|
CDS-MVSNet | | | 99.22 131 | 99.13 123 | 99.50 165 | 99.35 257 | 99.11 212 | 98.96 213 | 99.54 196 | 99.46 106 | 99.61 145 | 99.70 115 | 96.31 275 | 99.83 247 | 99.34 57 | 99.88 107 | 99.55 154 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
Anonymous20240521 | | | 99.44 69 | 99.42 68 | 99.49 168 | 99.89 21 | 98.96 230 | 99.62 54 | 99.76 70 | 99.85 27 | 99.82 53 | 99.88 30 | 96.39 273 | 99.97 19 | 99.59 23 | 99.98 24 | 99.55 154 |
|
Patchmtry | | | 98.78 213 | 98.54 225 | 99.49 168 | 98.89 336 | 99.19 205 | 99.32 109 | 99.67 116 | 99.65 70 | 99.72 99 | 99.79 66 | 91.87 325 | 99.95 47 | 98.00 186 | 99.97 33 | 99.33 240 |
|
UGNet | | | 99.38 86 | 99.34 81 | 99.49 168 | 98.90 333 | 98.90 240 | 99.70 29 | 99.35 269 | 99.86 22 | 98.57 317 | 99.81 58 | 98.50 149 | 99.93 75 | 99.38 51 | 99.98 24 | 99.66 80 |
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
Gipuma |  | | 99.57 42 | 99.59 36 | 99.49 168 | 99.98 3 | 99.71 71 | 99.72 24 | 99.84 34 | 99.81 36 | 99.94 12 | 99.78 73 | 98.91 87 | 99.71 309 | 98.41 150 | 99.95 54 | 99.05 300 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
DELS-MVS | | | 99.34 99 | 99.30 92 | 99.48 172 | 99.51 202 | 99.36 166 | 98.12 298 | 99.53 205 | 99.36 121 | 99.41 209 | 99.61 177 | 99.22 49 | 99.87 181 | 99.21 76 | 99.68 219 | 99.20 266 |
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023 |
PLC |  | 97.35 16 | 98.36 261 | 97.99 272 | 99.48 172 | 99.32 273 | 99.24 194 | 98.50 268 | 99.51 217 | 95.19 351 | 98.58 316 | 98.96 336 | 96.95 258 | 99.83 247 | 95.63 328 | 99.25 307 | 99.37 231 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
Anonymous20231206 | | | 99.35 94 | 99.31 87 | 99.47 174 | 99.74 104 | 99.06 223 | 99.28 124 | 99.74 82 | 99.23 140 | 99.72 99 | 99.53 217 | 97.63 230 | 99.88 168 | 99.11 98 | 99.84 132 | 99.48 195 |
|
Regformer-1 | | | 99.32 105 | 99.27 102 | 99.47 174 | 99.41 242 | 98.95 231 | 98.99 206 | 99.48 228 | 99.48 97 | 99.66 121 | 99.52 219 | 98.78 106 | 99.87 181 | 98.36 153 | 99.74 192 | 99.60 128 |
|
ab-mvs | | | 99.33 103 | 99.28 99 | 99.47 174 | 99.57 173 | 99.39 157 | 99.78 11 | 99.43 245 | 98.87 191 | 99.57 157 | 99.82 55 | 98.06 194 | 99.87 181 | 98.69 138 | 99.73 199 | 99.15 277 |
|
Fast-Effi-MVS+ | | | 99.02 178 | 98.87 191 | 99.46 177 | 99.38 250 | 99.50 128 | 99.04 193 | 99.79 57 | 97.17 316 | 98.62 312 | 98.74 352 | 99.34 36 | 99.95 47 | 98.32 158 | 99.41 286 | 98.92 315 |
|
test_prior3 | | | 98.62 230 | 98.34 245 | 99.46 177 | 99.35 257 | 99.22 198 | 97.95 319 | 99.39 258 | 97.87 281 | 98.05 341 | 99.05 318 | 97.90 206 | 99.69 317 | 95.99 316 | 99.49 274 | 99.48 195 |
|
test_prior | | | | | 99.46 177 | 99.35 257 | 99.22 198 | | 99.39 258 | | | | | 99.69 317 | | | 99.48 195 |
|
TAPA-MVS | | 97.92 13 | 98.03 280 | 97.55 296 | 99.46 177 | 99.47 224 | 99.44 143 | 98.50 268 | 99.62 142 | 86.79 369 | 99.07 271 | 99.26 289 | 98.26 176 | 99.62 348 | 97.28 247 | 99.73 199 | 99.31 245 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
EIA-MVS | | | 99.12 158 | 99.01 163 | 99.45 181 | 99.36 255 | 99.62 102 | 99.34 104 | 99.79 57 | 98.41 237 | 98.84 293 | 98.89 343 | 98.75 112 | 99.84 236 | 98.15 176 | 99.51 270 | 98.89 317 |
|
test_0402 | | | 99.22 131 | 99.14 120 | 99.45 181 | 99.79 68 | 99.43 147 | 99.28 124 | 99.68 111 | 99.54 90 | 99.40 214 | 99.56 205 | 99.07 69 | 99.82 257 | 96.01 314 | 99.96 45 | 99.11 285 |
|
h-mvs33 | | | 98.61 231 | 98.34 245 | 99.44 183 | 99.60 154 | 98.67 253 | 99.27 127 | 99.44 241 | 99.68 60 | 99.32 227 | 99.49 231 | 92.50 319 | 100.00 1 | 99.24 73 | 96.51 369 | 99.65 88 |
|
VDD-MVS | | | 99.20 138 | 99.11 130 | 99.44 183 | 99.43 236 | 98.98 226 | 99.50 77 | 98.32 345 | 99.80 39 | 99.56 164 | 99.69 121 | 96.99 257 | 99.85 219 | 98.99 106 | 99.73 199 | 99.50 185 |
|
PVSNet_Blended_VisFu | | | 99.40 80 | 99.38 73 | 99.44 183 | 99.90 19 | 98.66 255 | 98.94 216 | 99.91 12 | 97.97 274 | 99.79 68 | 99.73 95 | 99.05 72 | 99.97 19 | 99.15 90 | 99.99 12 | 99.68 63 |
|
OMC-MVS | | | 98.90 199 | 98.72 205 | 99.44 183 | 99.39 247 | 99.42 150 | 98.58 255 | 99.64 137 | 97.31 310 | 99.44 195 | 99.62 168 | 98.59 131 | 99.69 317 | 96.17 310 | 99.79 169 | 99.22 260 |
|
Fast-Effi-MVS+-dtu | | | 99.20 138 | 99.12 127 | 99.43 187 | 99.25 288 | 99.69 82 | 99.05 191 | 99.82 41 | 99.50 95 | 98.97 276 | 99.05 318 | 98.98 78 | 99.98 8 | 98.20 168 | 99.24 309 | 98.62 330 |
|
MVP-Stereo | | | 99.16 150 | 99.08 141 | 99.43 187 | 99.48 219 | 99.07 221 | 99.08 188 | 99.55 190 | 98.63 215 | 99.31 231 | 99.68 132 | 98.19 185 | 99.78 284 | 98.18 172 | 99.58 253 | 99.45 206 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
pmmvs5 | | | 99.19 141 | 99.11 130 | 99.42 189 | 99.76 87 | 98.88 241 | 98.55 261 | 99.73 85 | 98.82 197 | 99.72 99 | 99.62 168 | 96.56 264 | 99.82 257 | 99.32 63 | 99.95 54 | 99.56 151 |
|
bset_n11_16_dypcd | | | 98.69 225 | 98.45 232 | 99.42 189 | 99.69 126 | 98.52 264 | 96.06 367 | 96.80 362 | 99.71 50 | 99.73 97 | 99.54 214 | 95.14 290 | 99.96 37 | 99.39 50 | 99.95 54 | 99.79 31 |
|
EI-MVSNet-UG-set | | | 99.48 58 | 99.50 54 | 99.42 189 | 99.57 173 | 98.65 258 | 99.24 137 | 99.46 236 | 99.68 60 | 99.80 63 | 99.66 142 | 98.99 77 | 99.89 153 | 99.19 81 | 99.90 89 | 99.72 47 |
|
EI-MVSNet-Vis-set | | | 99.47 64 | 99.49 55 | 99.42 189 | 99.57 173 | 98.66 255 | 99.24 137 | 99.46 236 | 99.67 64 | 99.79 68 | 99.65 147 | 98.97 80 | 99.89 153 | 99.15 90 | 99.89 99 | 99.71 50 |
|
testdata | | | | | 99.42 189 | 99.51 202 | 98.93 236 | | 99.30 281 | 96.20 336 | 98.87 290 | 99.40 253 | 98.33 171 | 99.89 153 | 96.29 304 | 99.28 303 | 99.44 211 |
|
VDDNet | | | 98.97 188 | 98.82 198 | 99.42 189 | 99.71 114 | 98.81 245 | 99.62 54 | 98.68 329 | 99.81 36 | 99.38 216 | 99.80 60 | 94.25 299 | 99.85 219 | 98.79 127 | 99.32 299 | 99.59 137 |
|
FMVSNet5 | | | 97.80 286 | 97.25 302 | 99.42 189 | 98.83 342 | 98.97 228 | 99.38 95 | 99.80 51 | 98.87 191 | 99.25 240 | 99.69 121 | 80.60 374 | 99.91 117 | 98.96 112 | 99.90 89 | 99.38 228 |
|
MVS_111021_LR | | | 99.13 156 | 99.03 159 | 99.42 189 | 99.58 163 | 99.32 175 | 97.91 325 | 99.73 85 | 98.68 211 | 99.31 231 | 99.48 234 | 99.09 63 | 99.66 337 | 97.70 217 | 99.77 179 | 99.29 249 |
|
RRT_MVS | | | 98.75 217 | 98.54 225 | 99.41 197 | 98.14 371 | 98.61 259 | 98.98 210 | 99.66 120 | 99.31 127 | 99.84 46 | 99.75 88 | 91.98 322 | 99.98 8 | 99.20 79 | 99.95 54 | 99.62 113 |
|
CMPMVS |  | 77.52 23 | 98.50 247 | 98.19 260 | 99.41 197 | 98.33 364 | 99.56 119 | 99.01 199 | 99.59 168 | 95.44 346 | 99.57 157 | 99.80 60 | 95.64 286 | 99.46 366 | 96.47 297 | 99.92 79 | 99.21 262 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
Regformer-3 | | | 99.41 77 | 99.41 69 | 99.40 199 | 99.52 197 | 98.70 251 | 99.17 158 | 99.44 241 | 99.62 76 | 99.75 84 | 99.60 186 | 98.90 90 | 99.85 219 | 98.89 120 | 99.84 132 | 99.65 88 |
|
UnsupCasMVSNet_bld | | | 98.55 242 | 98.27 251 | 99.40 199 | 99.56 183 | 99.37 163 | 97.97 318 | 99.68 111 | 97.49 301 | 99.08 268 | 99.35 270 | 95.41 289 | 99.82 257 | 97.70 217 | 98.19 352 | 99.01 307 |
|
MVS_111021_HR | | | 99.12 158 | 99.02 160 | 99.40 199 | 99.50 208 | 99.11 212 | 97.92 323 | 99.71 97 | 98.76 207 | 99.08 268 | 99.47 239 | 99.17 53 | 99.54 357 | 97.85 201 | 99.76 181 | 99.54 162 |
|
MVS_0304 | | | 98.88 203 | 98.71 206 | 99.39 202 | 98.85 340 | 98.91 239 | 99.45 84 | 99.30 281 | 98.56 221 | 97.26 361 | 99.68 132 | 96.18 279 | 99.96 37 | 99.17 86 | 99.94 67 | 99.29 249 |
|
v148 | | | 99.40 80 | 99.41 69 | 99.39 202 | 99.76 87 | 98.94 232 | 99.09 185 | 99.59 168 | 99.17 151 | 99.81 60 | 99.61 177 | 98.41 159 | 99.69 317 | 99.32 63 | 99.94 67 | 99.53 167 |
|
diffmvs | | | 99.34 99 | 99.32 86 | 99.39 202 | 99.67 140 | 98.77 248 | 98.57 259 | 99.81 50 | 99.61 80 | 99.48 187 | 99.41 249 | 98.47 150 | 99.86 201 | 98.97 110 | 99.90 89 | 99.53 167 |
|
HQP-MVS | | | 98.36 261 | 98.02 271 | 99.39 202 | 99.31 274 | 98.94 232 | 97.98 315 | 99.37 265 | 97.45 302 | 98.15 335 | 98.83 347 | 96.67 262 | 99.70 311 | 94.73 343 | 99.67 226 | 99.53 167 |
|
TSAR-MVS + GP. | | | 99.12 158 | 99.04 157 | 99.38 206 | 99.34 267 | 99.16 207 | 98.15 294 | 99.29 283 | 98.18 263 | 99.63 131 | 99.62 168 | 99.18 52 | 99.68 328 | 98.20 168 | 99.74 192 | 99.30 246 |
|
AdaColmap |  | | 98.60 233 | 98.35 244 | 99.38 206 | 99.12 309 | 99.22 198 | 98.67 250 | 99.42 247 | 97.84 285 | 98.81 296 | 99.27 286 | 97.32 243 | 99.81 273 | 95.14 338 | 99.53 267 | 99.10 287 |
|
ITE_SJBPF | | | | | 99.38 206 | 99.63 147 | 99.44 143 | | 99.73 85 | 98.56 221 | 99.33 225 | 99.53 217 | 98.88 92 | 99.68 328 | 96.01 314 | 99.65 233 | 99.02 306 |
|
原ACMM1 | | | | | 99.37 209 | 99.47 224 | 98.87 243 | | 99.27 287 | 96.74 329 | 98.26 330 | 99.32 275 | 97.93 204 | 99.82 257 | 95.96 319 | 99.38 289 | 99.43 217 |
|
testgi | | | 99.29 110 | 99.26 104 | 99.37 209 | 99.75 98 | 98.81 245 | 98.84 226 | 99.89 16 | 98.38 241 | 99.75 84 | 99.04 321 | 99.36 35 | 99.86 201 | 99.08 100 | 99.25 307 | 99.45 206 |
|
MSDG | | | 99.08 167 | 98.98 174 | 99.37 209 | 99.60 154 | 99.13 210 | 97.54 339 | 99.74 82 | 98.84 196 | 99.53 176 | 99.55 212 | 99.10 61 | 99.79 281 | 97.07 264 | 99.86 123 | 99.18 271 |
|
pmmvs4 | | | 99.13 156 | 99.06 147 | 99.36 212 | 99.57 173 | 99.10 217 | 98.01 310 | 99.25 292 | 98.78 203 | 99.58 154 | 99.44 246 | 98.24 177 | 99.76 294 | 98.74 133 | 99.93 75 | 99.22 260 |
|
N_pmnet | | | 98.73 221 | 98.53 227 | 99.35 213 | 99.72 111 | 98.67 253 | 98.34 279 | 94.65 370 | 98.35 248 | 99.79 68 | 99.68 132 | 98.03 195 | 99.93 75 | 98.28 161 | 99.92 79 | 99.44 211 |
|
Effi-MVS+ | | | 99.06 169 | 98.97 175 | 99.34 214 | 99.31 274 | 98.98 226 | 98.31 283 | 99.91 12 | 98.81 198 | 98.79 299 | 98.94 338 | 99.14 58 | 99.84 236 | 98.79 127 | 98.74 335 | 99.20 266 |
|
Vis-MVSNet (Re-imp) | | | 98.77 214 | 98.58 220 | 99.34 214 | 99.78 75 | 98.88 241 | 99.61 59 | 99.56 184 | 99.11 163 | 99.24 243 | 99.56 205 | 93.00 314 | 99.78 284 | 97.43 238 | 99.89 99 | 99.35 237 |
|
Patchmatch-RL test | | | 98.60 233 | 98.36 242 | 99.33 216 | 99.77 83 | 99.07 221 | 98.27 286 | 99.87 21 | 98.91 186 | 99.74 93 | 99.72 101 | 90.57 342 | 99.79 281 | 98.55 144 | 99.85 127 | 99.11 285 |
|
PAPM_NR | | | 98.36 261 | 98.04 269 | 99.33 216 | 99.48 219 | 98.93 236 | 98.79 239 | 99.28 286 | 97.54 297 | 98.56 318 | 98.57 357 | 97.12 252 | 99.69 317 | 94.09 352 | 98.90 326 | 99.38 228 |
|
PCF-MVS | | 96.03 18 | 96.73 317 | 95.86 328 | 99.33 216 | 99.44 234 | 99.16 207 | 96.87 362 | 99.44 241 | 86.58 370 | 98.95 278 | 99.40 253 | 94.38 298 | 99.88 168 | 87.93 369 | 99.80 164 | 98.95 312 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
CLD-MVS | | | 98.76 216 | 98.57 221 | 99.33 216 | 99.57 173 | 98.97 228 | 97.53 341 | 99.55 190 | 96.41 332 | 99.27 238 | 99.13 307 | 99.07 69 | 99.78 284 | 96.73 282 | 99.89 99 | 99.23 258 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
DPM-MVS | | | 98.28 267 | 97.94 280 | 99.32 220 | 99.36 255 | 99.11 212 | 97.31 351 | 98.78 326 | 96.88 323 | 98.84 293 | 99.11 313 | 97.77 217 | 99.61 352 | 94.03 354 | 99.36 294 | 99.23 258 |
|
jason | | | 99.16 150 | 99.11 130 | 99.32 220 | 99.75 98 | 98.44 269 | 98.26 287 | 99.39 258 | 98.70 210 | 99.74 93 | 99.30 279 | 98.54 139 | 99.97 19 | 98.48 147 | 99.82 151 | 99.55 154 |
jason: jason. |
FMVSNet3 | | | 98.80 212 | 98.63 214 | 99.32 220 | 99.13 307 | 98.72 250 | 99.10 181 | 99.48 228 | 99.23 140 | 99.62 139 | 99.64 149 | 92.57 316 | 99.86 201 | 98.96 112 | 99.90 89 | 99.39 226 |
|
MVSFormer | | | 99.41 77 | 99.44 63 | 99.31 223 | 99.57 173 | 98.40 272 | 99.77 12 | 99.80 51 | 99.73 46 | 99.63 131 | 99.30 279 | 98.02 197 | 99.98 8 | 99.43 43 | 99.69 214 | 99.55 154 |
|
DP-MVS Recon | | | 98.50 247 | 98.23 254 | 99.31 223 | 99.49 213 | 99.46 136 | 98.56 260 | 99.63 139 | 94.86 355 | 98.85 292 | 99.37 260 | 97.81 214 | 99.59 354 | 96.08 311 | 99.44 280 | 98.88 318 |
|
PatchMatch-RL | | | 98.68 226 | 98.47 230 | 99.30 225 | 99.44 234 | 99.28 181 | 98.14 296 | 99.54 196 | 97.12 319 | 99.11 265 | 99.25 291 | 97.80 215 | 99.70 311 | 96.51 294 | 99.30 301 | 98.93 314 |
|
OPU-MVS | | | | | 99.29 226 | 99.12 309 | 99.44 143 | 99.20 147 | | | | 99.40 253 | 99.00 75 | 98.84 372 | 96.54 292 | 99.60 248 | 99.58 142 |
|
D2MVS | | | 99.22 131 | 99.19 113 | 99.29 226 | 99.69 126 | 98.74 249 | 98.81 233 | 99.41 248 | 98.55 223 | 99.68 112 | 99.69 121 | 98.13 189 | 99.87 181 | 98.82 125 | 99.98 24 | 99.24 255 |
|
CANet | | | 99.11 162 | 99.05 151 | 99.28 228 | 98.83 342 | 98.56 261 | 98.71 249 | 99.41 248 | 99.25 136 | 99.23 244 | 99.22 298 | 97.66 228 | 99.94 61 | 99.19 81 | 99.97 33 | 99.33 240 |
|
CNLPA | | | 98.57 238 | 98.34 245 | 99.28 228 | 99.18 301 | 99.10 217 | 98.34 279 | 99.41 248 | 98.48 232 | 98.52 320 | 98.98 331 | 97.05 255 | 99.78 284 | 95.59 329 | 99.50 272 | 98.96 311 |
|
sss | | | 98.90 199 | 98.77 203 | 99.27 230 | 99.48 219 | 98.44 269 | 98.72 247 | 99.32 274 | 97.94 278 | 99.37 217 | 99.35 270 | 96.31 275 | 99.91 117 | 98.85 122 | 99.63 237 | 99.47 200 |
|
LF4IMVS | | | 99.01 182 | 98.92 184 | 99.27 230 | 99.71 114 | 99.28 181 | 98.59 254 | 99.77 65 | 98.32 254 | 99.39 215 | 99.41 249 | 98.62 127 | 99.84 236 | 96.62 290 | 99.84 132 | 98.69 328 |
|
LFMVS | | | 98.46 253 | 98.19 260 | 99.26 232 | 99.24 290 | 98.52 264 | 99.62 54 | 96.94 361 | 99.87 20 | 99.31 231 | 99.58 194 | 91.04 333 | 99.81 273 | 98.68 139 | 99.42 285 | 99.45 206 |
|
WTY-MVS | | | 98.59 236 | 98.37 241 | 99.26 232 | 99.43 236 | 98.40 272 | 98.74 244 | 99.13 311 | 98.10 265 | 99.21 250 | 99.24 296 | 94.82 293 | 99.90 137 | 97.86 199 | 98.77 331 | 99.49 190 |
|
OpenMVS |  | 98.12 10 | 98.23 272 | 97.89 286 | 99.26 232 | 99.19 299 | 99.26 185 | 99.65 51 | 99.69 108 | 91.33 366 | 98.14 339 | 99.77 80 | 98.28 174 | 99.96 37 | 95.41 334 | 99.55 259 | 98.58 334 |
|
alignmvs | | | 98.28 267 | 97.96 275 | 99.25 235 | 99.12 309 | 98.93 236 | 99.03 196 | 98.42 341 | 99.64 72 | 98.72 306 | 97.85 371 | 90.86 338 | 99.62 348 | 98.88 121 | 99.13 312 | 99.19 269 |
|
IterMVS-LS | | | 99.41 77 | 99.47 56 | 99.25 235 | 99.81 53 | 98.09 291 | 98.85 225 | 99.76 70 | 99.62 76 | 99.83 51 | 99.64 149 | 98.54 139 | 99.97 19 | 99.15 90 | 99.99 12 | 99.68 63 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
lupinMVS | | | 98.96 191 | 98.87 191 | 99.24 237 | 99.57 173 | 98.40 272 | 98.12 298 | 99.18 305 | 98.28 256 | 99.63 131 | 99.13 307 | 98.02 197 | 99.97 19 | 98.22 166 | 99.69 214 | 99.35 237 |
|
MVSTER | | | 98.47 252 | 98.22 255 | 99.24 237 | 99.06 319 | 98.35 277 | 99.08 188 | 99.46 236 | 99.27 132 | 99.75 84 | 99.66 142 | 88.61 352 | 99.85 219 | 99.14 96 | 99.92 79 | 99.52 177 |
|
mvs-test1 | | | 98.83 208 | 98.70 209 | 99.22 239 | 98.89 336 | 99.65 94 | 98.88 219 | 99.66 120 | 99.34 122 | 98.29 328 | 98.94 338 | 97.69 221 | 99.96 37 | 98.11 178 | 98.54 343 | 98.04 358 |
|
EI-MVSNet | | | 99.38 86 | 99.44 63 | 99.21 240 | 99.58 163 | 98.09 291 | 99.26 129 | 99.46 236 | 99.62 76 | 99.75 84 | 99.67 138 | 98.54 139 | 99.85 219 | 99.15 90 | 99.92 79 | 99.68 63 |
|
BH-RMVSNet | | | 98.41 257 | 98.14 265 | 99.21 240 | 99.21 294 | 98.47 266 | 98.60 253 | 98.26 346 | 98.35 248 | 98.93 280 | 99.31 277 | 97.20 250 | 99.66 337 | 94.32 348 | 99.10 314 | 99.51 179 |
|
ambc | | | | | 99.20 242 | 99.35 257 | 98.53 262 | 99.17 158 | 99.46 236 | | 99.67 117 | 99.80 60 | 98.46 153 | 99.70 311 | 97.92 192 | 99.70 211 | 99.38 228 |
|
MVS_Test | | | 99.28 111 | 99.31 87 | 99.19 243 | 99.35 257 | 98.79 247 | 99.36 102 | 99.49 226 | 99.17 151 | 99.21 250 | 99.67 138 | 98.78 106 | 99.66 337 | 99.09 99 | 99.66 230 | 99.10 287 |
|
MAR-MVS | | | 98.24 271 | 97.92 282 | 99.19 243 | 98.78 350 | 99.65 94 | 99.17 158 | 99.14 309 | 95.36 347 | 98.04 343 | 98.81 349 | 97.47 234 | 99.72 305 | 95.47 333 | 99.06 315 | 98.21 352 |
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
EPNet | | | 98.13 275 | 97.77 290 | 99.18 245 | 94.57 379 | 97.99 295 | 99.24 137 | 97.96 349 | 99.74 45 | 97.29 360 | 99.62 168 | 93.13 312 | 99.97 19 | 98.59 142 | 99.83 142 | 99.58 142 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
hse-mvs2 | | | 98.52 245 | 98.30 249 | 99.16 246 | 99.29 280 | 98.60 260 | 98.77 241 | 99.02 316 | 99.68 60 | 99.32 227 | 99.04 321 | 92.50 319 | 99.85 219 | 99.24 73 | 97.87 360 | 99.03 302 |
|
ETV-MVS | | | 99.18 145 | 99.18 114 | 99.16 246 | 99.34 267 | 99.28 181 | 99.12 178 | 99.79 57 | 99.48 97 | 98.93 280 | 98.55 359 | 99.40 25 | 99.93 75 | 98.51 146 | 99.52 269 | 98.28 348 |
|
CL-MVSNet_self_test | | | 98.71 223 | 98.56 224 | 99.15 248 | 99.22 292 | 98.66 255 | 97.14 356 | 99.51 217 | 98.09 267 | 99.54 171 | 99.27 286 | 96.87 260 | 99.74 300 | 98.43 149 | 98.96 321 | 99.03 302 |
|
AUN-MVS | | | 97.82 285 | 97.38 298 | 99.14 249 | 99.27 285 | 98.53 262 | 98.72 247 | 99.02 316 | 98.10 265 | 97.18 363 | 99.03 325 | 89.26 351 | 99.85 219 | 97.94 191 | 97.91 358 | 99.03 302 |
|
test_yl | | | 98.25 269 | 97.95 276 | 99.13 250 | 99.17 302 | 98.47 266 | 99.00 201 | 98.67 331 | 98.97 175 | 99.22 248 | 99.02 326 | 91.31 329 | 99.69 317 | 97.26 250 | 98.93 322 | 99.24 255 |
|
DCV-MVSNet | | | 98.25 269 | 97.95 276 | 99.13 250 | 99.17 302 | 98.47 266 | 99.00 201 | 98.67 331 | 98.97 175 | 99.22 248 | 99.02 326 | 91.31 329 | 99.69 317 | 97.26 250 | 98.93 322 | 99.24 255 |
|
MIMVSNet | | | 98.43 255 | 98.20 257 | 99.11 252 | 99.53 192 | 98.38 275 | 99.58 68 | 98.61 333 | 98.96 178 | 99.33 225 | 99.76 83 | 90.92 335 | 99.81 273 | 97.38 241 | 99.76 181 | 99.15 277 |
|
PMMVS | | | 98.49 250 | 98.29 250 | 99.11 252 | 98.96 330 | 98.42 271 | 97.54 339 | 99.32 274 | 97.53 298 | 98.47 324 | 98.15 368 | 97.88 209 | 99.82 257 | 97.46 236 | 99.24 309 | 99.09 290 |
|
CANet_DTU | | | 98.91 197 | 98.85 193 | 99.09 254 | 98.79 348 | 98.13 286 | 98.18 291 | 99.31 278 | 99.48 97 | 98.86 291 | 99.51 223 | 96.56 264 | 99.95 47 | 99.05 102 | 99.95 54 | 99.19 269 |
|
MS-PatchMatch | | | 99.00 184 | 98.97 175 | 99.09 254 | 99.11 314 | 98.19 283 | 98.76 243 | 99.33 272 | 98.49 231 | 99.44 195 | 99.58 194 | 98.21 182 | 99.69 317 | 98.20 168 | 99.62 238 | 99.39 226 |
|
canonicalmvs | | | 99.02 178 | 99.00 166 | 99.09 254 | 99.10 315 | 98.70 251 | 99.61 59 | 99.66 120 | 99.63 75 | 98.64 311 | 97.65 373 | 99.04 73 | 99.54 357 | 98.79 127 | 98.92 324 | 99.04 301 |
|
PVSNet_BlendedMVS | | | 99.03 176 | 99.01 163 | 99.09 254 | 99.54 186 | 97.99 295 | 98.58 255 | 99.82 41 | 97.62 292 | 99.34 223 | 99.71 108 | 98.52 146 | 99.77 292 | 97.98 187 | 99.97 33 | 99.52 177 |
|
MDA-MVSNet-bldmvs | | | 99.06 169 | 99.05 151 | 99.07 258 | 99.80 58 | 97.83 302 | 98.89 218 | 99.72 94 | 99.29 128 | 99.63 131 | 99.70 115 | 96.47 268 | 99.89 153 | 98.17 174 | 99.82 151 | 99.50 185 |
|
TinyColmap | | | 98.97 188 | 98.93 180 | 99.07 258 | 99.46 229 | 98.19 283 | 97.75 330 | 99.75 77 | 98.79 201 | 99.54 171 | 99.70 115 | 98.97 80 | 99.62 348 | 96.63 289 | 99.83 142 | 99.41 221 |
|
USDC | | | 98.96 191 | 98.93 180 | 99.05 260 | 99.54 186 | 97.99 295 | 97.07 359 | 99.80 51 | 98.21 260 | 99.75 84 | 99.77 80 | 98.43 156 | 99.64 346 | 97.90 193 | 99.88 107 | 99.51 179 |
|
PAPR | | | 97.56 298 | 97.07 307 | 99.04 261 | 98.80 347 | 98.11 289 | 97.63 335 | 99.25 292 | 94.56 359 | 98.02 344 | 98.25 367 | 97.43 236 | 99.68 328 | 90.90 365 | 98.74 335 | 99.33 240 |
|
PVSNet_Blended | | | 98.70 224 | 98.59 217 | 99.02 262 | 99.54 186 | 97.99 295 | 97.58 338 | 99.82 41 | 95.70 344 | 99.34 223 | 98.98 331 | 98.52 146 | 99.77 292 | 97.98 187 | 99.83 142 | 99.30 246 |
|
MVS | | | 95.72 337 | 94.63 341 | 98.99 263 | 98.56 358 | 97.98 300 | 99.30 116 | 98.86 321 | 72.71 374 | 97.30 359 | 99.08 315 | 98.34 169 | 99.74 300 | 89.21 366 | 98.33 347 | 99.26 252 |
|
HY-MVS | | 98.23 9 | 98.21 274 | 97.95 276 | 98.99 263 | 99.03 323 | 98.24 279 | 99.61 59 | 98.72 328 | 96.81 327 | 98.73 305 | 99.51 223 | 94.06 300 | 99.86 201 | 96.91 270 | 98.20 350 | 98.86 320 |
|
baseline1 | | | 97.73 290 | 97.33 299 | 98.96 265 | 99.30 278 | 97.73 306 | 99.40 91 | 98.42 341 | 99.33 125 | 99.46 193 | 99.21 300 | 91.18 331 | 99.82 257 | 98.35 155 | 91.26 374 | 99.32 243 |
|
DSMNet-mixed | | | 99.48 58 | 99.65 25 | 98.95 266 | 99.71 114 | 97.27 318 | 99.50 77 | 99.82 41 | 99.59 88 | 99.41 209 | 99.85 42 | 99.62 16 | 100.00 1 | 99.53 32 | 99.89 99 | 99.59 137 |
|
thisisatest0530 | | | 97.45 300 | 96.95 311 | 98.94 267 | 99.68 135 | 97.73 306 | 99.09 185 | 94.19 373 | 98.61 218 | 99.56 164 | 99.30 279 | 84.30 369 | 99.93 75 | 98.27 162 | 99.54 265 | 99.16 275 |
|
mvs_anonymous | | | 99.28 111 | 99.39 71 | 98.94 267 | 99.19 299 | 97.81 303 | 99.02 197 | 99.55 190 | 99.78 42 | 99.85 43 | 99.80 60 | 98.24 177 | 99.86 201 | 99.57 27 | 99.50 272 | 99.15 277 |
|
MG-MVS | | | 98.52 245 | 98.39 239 | 98.94 267 | 99.15 304 | 97.39 316 | 98.18 291 | 99.21 303 | 98.89 190 | 99.23 244 | 99.63 159 | 97.37 241 | 99.74 300 | 94.22 350 | 99.61 245 | 99.69 57 |
|
GA-MVS | | | 97.99 283 | 97.68 293 | 98.93 270 | 99.52 197 | 98.04 294 | 97.19 355 | 99.05 315 | 98.32 254 | 98.81 296 | 98.97 334 | 89.89 349 | 99.41 367 | 98.33 157 | 99.05 316 | 99.34 239 |
|
cl____ | | | 98.54 243 | 98.41 237 | 98.92 271 | 99.03 323 | 97.80 304 | 97.46 345 | 99.59 168 | 98.90 187 | 99.60 147 | 99.46 242 | 93.85 303 | 99.78 284 | 97.97 189 | 99.89 99 | 99.17 273 |
|
DIV-MVS_self_test | | | 98.54 243 | 98.42 236 | 98.92 271 | 99.03 323 | 97.80 304 | 97.46 345 | 99.59 168 | 98.90 187 | 99.60 147 | 99.46 242 | 93.87 302 | 99.78 284 | 97.97 189 | 99.89 99 | 99.18 271 |
|
ET-MVSNet_ETH3D | | | 96.78 315 | 96.07 324 | 98.91 273 | 99.26 287 | 97.92 301 | 97.70 333 | 96.05 366 | 97.96 277 | 92.37 375 | 98.43 363 | 87.06 356 | 99.90 137 | 98.27 162 | 97.56 363 | 98.91 316 |
|
xiu_mvs_v1_base_debu | | | 99.23 122 | 99.34 81 | 98.91 273 | 99.59 158 | 98.23 280 | 98.47 270 | 99.66 120 | 99.61 80 | 99.68 112 | 98.94 338 | 99.39 26 | 99.97 19 | 99.18 83 | 99.55 259 | 98.51 338 |
|
xiu_mvs_v1_base | | | 99.23 122 | 99.34 81 | 98.91 273 | 99.59 158 | 98.23 280 | 98.47 270 | 99.66 120 | 99.61 80 | 99.68 112 | 98.94 338 | 99.39 26 | 99.97 19 | 99.18 83 | 99.55 259 | 98.51 338 |
|
xiu_mvs_v1_base_debi | | | 99.23 122 | 99.34 81 | 98.91 273 | 99.59 158 | 98.23 280 | 98.47 270 | 99.66 120 | 99.61 80 | 99.68 112 | 98.94 338 | 99.39 26 | 99.97 19 | 99.18 83 | 99.55 259 | 98.51 338 |
|
MSLP-MVS++ | | | 99.05 172 | 99.09 139 | 98.91 273 | 99.21 294 | 98.36 276 | 98.82 232 | 99.47 232 | 98.85 193 | 98.90 286 | 99.56 205 | 98.78 106 | 99.09 370 | 98.57 143 | 99.68 219 | 99.26 252 |
|
pmmvs3 | | | 98.08 278 | 97.80 287 | 98.91 273 | 99.41 242 | 97.69 308 | 97.87 326 | 99.66 120 | 95.87 340 | 99.50 185 | 99.51 223 | 90.35 344 | 99.97 19 | 98.55 144 | 99.47 277 | 99.08 293 |
|
tttt0517 | | | 97.62 295 | 97.20 304 | 98.90 279 | 99.76 87 | 97.40 315 | 99.48 81 | 94.36 371 | 99.06 170 | 99.70 107 | 99.49 231 | 84.55 368 | 99.94 61 | 98.73 134 | 99.65 233 | 99.36 234 |
|
OpenMVS_ROB |  | 97.31 17 | 97.36 304 | 96.84 315 | 98.89 280 | 99.29 280 | 99.45 141 | 98.87 222 | 99.48 228 | 86.54 371 | 99.44 195 | 99.74 91 | 97.34 242 | 99.86 201 | 91.61 361 | 99.28 303 | 97.37 366 |
|
MDA-MVSNet_test_wron | | | 98.95 194 | 98.99 171 | 98.85 281 | 99.64 145 | 97.16 321 | 98.23 289 | 99.33 272 | 98.93 183 | 99.56 164 | 99.66 142 | 97.39 239 | 99.83 247 | 98.29 160 | 99.88 107 | 99.55 154 |
|
PMVS |  | 92.94 21 | 98.82 210 | 98.81 199 | 98.85 281 | 99.84 35 | 97.99 295 | 99.20 147 | 99.47 232 | 99.71 50 | 99.42 201 | 99.82 55 | 98.09 191 | 99.47 364 | 93.88 356 | 99.85 127 | 99.07 298 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
YYNet1 | | | 98.95 194 | 98.99 171 | 98.84 283 | 99.64 145 | 97.14 322 | 98.22 290 | 99.32 274 | 98.92 185 | 99.59 150 | 99.66 142 | 97.40 237 | 99.83 247 | 98.27 162 | 99.90 89 | 99.55 154 |
|
new_pmnet | | | 98.88 203 | 98.89 189 | 98.84 283 | 99.70 122 | 97.62 309 | 98.15 294 | 99.50 221 | 97.98 273 | 99.62 139 | 99.54 214 | 98.15 188 | 99.94 61 | 97.55 230 | 99.84 132 | 98.95 312 |
|
CR-MVSNet | | | 98.35 264 | 98.20 257 | 98.83 285 | 99.05 320 | 98.12 287 | 99.30 116 | 99.67 116 | 97.39 306 | 99.16 257 | 99.79 66 | 91.87 325 | 99.91 117 | 98.78 130 | 98.77 331 | 98.44 343 |
|
PatchT | | | 98.45 254 | 98.32 248 | 98.83 285 | 98.94 331 | 98.29 278 | 99.24 137 | 98.82 324 | 99.84 30 | 99.08 268 | 99.76 83 | 91.37 328 | 99.94 61 | 98.82 125 | 99.00 320 | 98.26 349 |
|
RPMNet | | | 98.60 233 | 98.53 227 | 98.83 285 | 99.05 320 | 98.12 287 | 99.30 116 | 99.62 142 | 99.86 22 | 99.16 257 | 99.74 91 | 92.53 318 | 99.92 95 | 98.75 132 | 98.77 331 | 98.44 343 |
|
miper_lstm_enhance | | | 98.65 228 | 98.60 215 | 98.82 288 | 99.20 297 | 97.33 317 | 97.78 329 | 99.66 120 | 99.01 172 | 99.59 150 | 99.50 226 | 94.62 296 | 99.85 219 | 98.12 177 | 99.90 89 | 99.26 252 |
|
FPMVS | | | 96.32 325 | 95.50 333 | 98.79 289 | 99.60 154 | 98.17 285 | 98.46 275 | 98.80 325 | 97.16 317 | 96.28 366 | 99.63 159 | 82.19 370 | 99.09 370 | 88.45 368 | 98.89 327 | 99.10 287 |
|
xiu_mvs_v2_base | | | 99.02 178 | 99.11 130 | 98.77 290 | 99.37 253 | 98.09 291 | 98.13 297 | 99.51 217 | 99.47 102 | 99.42 201 | 98.54 360 | 99.38 30 | 99.97 19 | 98.83 123 | 99.33 298 | 98.24 350 |
|
PS-MVSNAJ | | | 99.00 184 | 99.08 141 | 98.76 291 | 99.37 253 | 98.10 290 | 98.00 312 | 99.51 217 | 99.47 102 | 99.41 209 | 98.50 362 | 99.28 42 | 99.97 19 | 98.83 123 | 99.34 296 | 98.20 354 |
|
test0.0.03 1 | | | 97.37 303 | 96.91 314 | 98.74 292 | 97.72 372 | 97.57 310 | 97.60 337 | 97.36 360 | 98.00 270 | 99.21 250 | 98.02 369 | 90.04 347 | 99.79 281 | 98.37 152 | 95.89 372 | 98.86 320 |
|
c3_l | | | 98.72 222 | 98.71 206 | 98.72 293 | 99.12 309 | 97.22 320 | 97.68 334 | 99.56 184 | 98.90 187 | 99.54 171 | 99.48 234 | 96.37 274 | 99.73 303 | 97.88 195 | 99.88 107 | 99.21 262 |
|
EU-MVSNet | | | 99.39 84 | 99.62 29 | 98.72 293 | 99.88 25 | 96.44 334 | 99.56 72 | 99.85 28 | 99.90 8 | 99.90 23 | 99.85 42 | 98.09 191 | 99.83 247 | 99.58 26 | 99.95 54 | 99.90 4 |
|
new-patchmatchnet | | | 99.35 94 | 99.57 43 | 98.71 295 | 99.82 46 | 96.62 332 | 98.55 261 | 99.75 77 | 99.50 95 | 99.88 33 | 99.87 33 | 99.31 38 | 99.88 168 | 99.43 43 | 100.00 1 | 99.62 113 |
|
thisisatest0515 | | | 96.98 311 | 96.42 318 | 98.66 296 | 99.42 241 | 97.47 312 | 97.27 352 | 94.30 372 | 97.24 312 | 99.15 259 | 98.86 346 | 85.01 366 | 99.87 181 | 97.10 262 | 99.39 288 | 98.63 329 |
|
eth_miper_zixun_eth | | | 98.68 226 | 98.71 206 | 98.60 297 | 99.10 315 | 96.84 329 | 97.52 343 | 99.54 196 | 98.94 180 | 99.58 154 | 99.48 234 | 96.25 277 | 99.76 294 | 98.01 185 | 99.93 75 | 99.21 262 |
|
miper_ehance_all_eth | | | 98.59 236 | 98.59 217 | 98.59 298 | 98.98 329 | 97.07 323 | 97.49 344 | 99.52 213 | 98.50 229 | 99.52 178 | 99.37 260 | 96.41 272 | 99.71 309 | 97.86 199 | 99.62 238 | 99.00 308 |
|
BH-untuned | | | 98.22 273 | 98.09 267 | 98.58 299 | 99.38 250 | 97.24 319 | 98.55 261 | 98.98 319 | 97.81 286 | 99.20 255 | 98.76 351 | 97.01 256 | 99.65 344 | 94.83 342 | 98.33 347 | 98.86 320 |
|
IterMVS-SCA-FT | | | 99.00 184 | 99.16 116 | 98.51 300 | 99.75 98 | 95.90 342 | 98.07 305 | 99.84 34 | 99.84 30 | 99.89 27 | 99.73 95 | 96.01 282 | 99.99 5 | 99.33 61 | 100.00 1 | 99.63 102 |
|
JIA-IIPM | | | 98.06 279 | 97.92 282 | 98.50 301 | 98.59 357 | 97.02 324 | 98.80 236 | 98.51 337 | 99.88 19 | 97.89 348 | 99.87 33 | 91.89 324 | 99.90 137 | 98.16 175 | 97.68 362 | 98.59 332 |
|
Patchmatch-test | | | 98.10 277 | 97.98 274 | 98.48 302 | 99.27 285 | 96.48 333 | 99.40 91 | 99.07 312 | 98.81 198 | 99.23 244 | 99.57 202 | 90.11 346 | 99.87 181 | 96.69 283 | 99.64 235 | 99.09 290 |
|
baseline2 | | | 96.83 314 | 96.28 320 | 98.46 303 | 99.09 317 | 96.91 327 | 98.83 228 | 93.87 374 | 97.23 313 | 96.23 369 | 98.36 364 | 88.12 353 | 99.90 137 | 96.68 284 | 98.14 354 | 98.57 335 |
|
IterMVS | | | 98.97 188 | 99.16 116 | 98.42 304 | 99.74 104 | 95.64 345 | 98.06 307 | 99.83 36 | 99.83 33 | 99.85 43 | 99.74 91 | 96.10 281 | 99.99 5 | 99.27 72 | 100.00 1 | 99.63 102 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
cl22 | | | 97.56 298 | 97.28 300 | 98.40 305 | 98.37 363 | 96.75 330 | 97.24 354 | 99.37 265 | 97.31 310 | 99.41 209 | 99.22 298 | 87.30 354 | 99.37 368 | 97.70 217 | 99.62 238 | 99.08 293 |
|
CHOSEN 280x420 | | | 98.41 257 | 98.41 237 | 98.40 305 | 99.34 267 | 95.89 343 | 96.94 361 | 99.44 241 | 98.80 200 | 99.25 240 | 99.52 219 | 93.51 309 | 99.98 8 | 98.94 117 | 99.98 24 | 99.32 243 |
|
API-MVS | | | 98.38 260 | 98.39 239 | 98.35 307 | 98.83 342 | 99.26 185 | 99.14 168 | 99.18 305 | 98.59 219 | 98.66 310 | 98.78 350 | 98.61 129 | 99.57 356 | 94.14 351 | 99.56 255 | 96.21 370 |
|
PVSNet | | 97.47 15 | 98.42 256 | 98.44 234 | 98.35 307 | 99.46 229 | 96.26 336 | 96.70 364 | 99.34 271 | 97.68 290 | 99.00 275 | 99.13 307 | 97.40 237 | 99.72 305 | 97.59 229 | 99.68 219 | 99.08 293 |
|
miper_enhance_ethall | | | 98.03 280 | 97.94 280 | 98.32 309 | 98.27 365 | 96.43 335 | 96.95 360 | 99.41 248 | 96.37 334 | 99.43 199 | 98.96 336 | 94.74 294 | 99.69 317 | 97.71 214 | 99.62 238 | 98.83 323 |
|
TR-MVS | | | 97.44 301 | 97.15 306 | 98.32 309 | 98.53 359 | 97.46 313 | 98.47 270 | 97.91 351 | 96.85 325 | 98.21 334 | 98.51 361 | 96.42 270 | 99.51 362 | 92.16 360 | 97.29 364 | 97.98 359 |
|
PAPM | | | 95.61 338 | 94.71 340 | 98.31 311 | 99.12 309 | 96.63 331 | 96.66 365 | 98.46 340 | 90.77 367 | 96.25 367 | 98.68 354 | 93.01 313 | 99.69 317 | 81.60 375 | 97.86 361 | 98.62 330 |
|
MVE |  | 92.54 22 | 96.66 319 | 96.11 323 | 98.31 311 | 99.68 135 | 97.55 311 | 97.94 321 | 95.60 368 | 99.37 119 | 90.68 376 | 98.70 353 | 96.56 264 | 98.61 374 | 86.94 374 | 99.55 259 | 98.77 326 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
1314 | | | 98.00 282 | 97.90 285 | 98.27 313 | 98.90 333 | 97.45 314 | 99.30 116 | 99.06 314 | 94.98 352 | 97.21 362 | 99.12 311 | 98.43 156 | 99.67 333 | 95.58 330 | 98.56 342 | 97.71 362 |
|
ppachtmachnet_test | | | 98.89 202 | 99.12 127 | 98.20 314 | 99.66 141 | 95.24 349 | 97.63 335 | 99.68 111 | 99.08 164 | 99.78 71 | 99.62 168 | 98.65 125 | 99.88 168 | 98.02 182 | 99.96 45 | 99.48 195 |
|
SD-MVS | | | 99.01 182 | 99.30 92 | 98.15 315 | 99.50 208 | 99.40 155 | 98.94 216 | 99.61 149 | 99.22 144 | 99.75 84 | 99.82 55 | 99.54 22 | 95.51 377 | 97.48 235 | 99.87 116 | 99.54 162 |
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
our_test_3 | | | 98.85 207 | 99.09 139 | 98.13 316 | 99.66 141 | 94.90 352 | 97.72 331 | 99.58 177 | 99.07 166 | 99.64 127 | 99.62 168 | 98.19 185 | 99.93 75 | 98.41 150 | 99.95 54 | 99.55 154 |
|
ADS-MVSNet2 | | | 97.78 287 | 97.66 295 | 98.12 317 | 99.14 305 | 95.36 347 | 99.22 144 | 98.75 327 | 96.97 321 | 98.25 331 | 99.64 149 | 90.90 336 | 99.94 61 | 96.51 294 | 99.56 255 | 99.08 293 |
|
DeepMVS_CX |  | | | | 97.98 318 | 99.69 126 | 96.95 325 | | 99.26 289 | 75.51 373 | 95.74 371 | 98.28 366 | 96.47 268 | 99.62 348 | 91.23 363 | 97.89 359 | 97.38 365 |
|
gg-mvs-nofinetune | | | 95.87 334 | 95.17 338 | 97.97 319 | 98.19 367 | 96.95 325 | 99.69 35 | 89.23 380 | 99.89 14 | 96.24 368 | 99.94 14 | 81.19 371 | 99.51 362 | 93.99 355 | 98.20 350 | 97.44 364 |
|
thres600view7 | | | 96.60 320 | 96.16 322 | 97.93 320 | 99.63 147 | 96.09 340 | 99.18 153 | 97.57 355 | 98.77 204 | 98.72 306 | 97.32 377 | 87.04 357 | 99.72 305 | 88.57 367 | 98.62 340 | 97.98 359 |
|
thres400 | | | 96.40 322 | 95.89 326 | 97.92 321 | 99.58 163 | 96.11 338 | 99.00 201 | 97.54 358 | 98.43 234 | 98.52 320 | 96.98 380 | 86.85 359 | 99.67 333 | 87.62 370 | 98.51 344 | 97.98 359 |
|
ADS-MVSNet | | | 97.72 293 | 97.67 294 | 97.86 322 | 99.14 305 | 94.65 353 | 99.22 144 | 98.86 321 | 96.97 321 | 98.25 331 | 99.64 149 | 90.90 336 | 99.84 236 | 96.51 294 | 99.56 255 | 99.08 293 |
|
IB-MVS | | 95.41 20 | 95.30 339 | 94.46 343 | 97.84 323 | 98.76 352 | 95.33 348 | 97.33 350 | 96.07 365 | 96.02 338 | 95.37 373 | 97.41 376 | 76.17 381 | 99.96 37 | 97.54 231 | 95.44 373 | 98.22 351 |
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
CVMVSNet | | | 98.61 231 | 98.88 190 | 97.80 324 | 99.58 163 | 93.60 359 | 99.26 129 | 99.64 137 | 99.66 68 | 99.72 99 | 99.67 138 | 93.26 310 | 99.93 75 | 99.30 66 | 99.81 159 | 99.87 9 |
|
BH-w/o | | | 97.20 306 | 97.01 309 | 97.76 325 | 99.08 318 | 95.69 344 | 98.03 309 | 98.52 336 | 95.76 343 | 97.96 345 | 98.02 369 | 95.62 287 | 99.47 364 | 92.82 359 | 97.25 365 | 98.12 356 |
|
tpm | | | 97.15 307 | 96.95 311 | 97.75 326 | 98.91 332 | 94.24 355 | 99.32 109 | 97.96 349 | 97.71 289 | 98.29 328 | 99.32 275 | 86.72 363 | 99.92 95 | 98.10 180 | 96.24 371 | 99.09 290 |
|
test-LLR | | | 97.15 307 | 96.95 311 | 97.74 327 | 98.18 368 | 95.02 350 | 97.38 347 | 96.10 363 | 98.00 270 | 97.81 352 | 98.58 355 | 90.04 347 | 99.91 117 | 97.69 223 | 98.78 329 | 98.31 346 |
|
test-mter | | | 96.23 328 | 95.73 331 | 97.74 327 | 98.18 368 | 95.02 350 | 97.38 347 | 96.10 363 | 97.90 279 | 97.81 352 | 98.58 355 | 79.12 378 | 99.91 117 | 97.69 223 | 98.78 329 | 98.31 346 |
|
RRT_test8_iter05 | | | 97.35 305 | 97.25 302 | 97.63 329 | 98.81 346 | 93.13 361 | 99.26 129 | 99.89 16 | 99.51 94 | 99.83 51 | 99.68 132 | 79.03 379 | 99.88 168 | 99.53 32 | 99.72 205 | 99.89 8 |
|
tfpn200view9 | | | 96.30 326 | 95.89 326 | 97.53 330 | 99.58 163 | 96.11 338 | 99.00 201 | 97.54 358 | 98.43 234 | 98.52 320 | 96.98 380 | 86.85 359 | 99.67 333 | 87.62 370 | 98.51 344 | 96.81 368 |
|
cascas | | | 96.99 310 | 96.82 316 | 97.48 331 | 97.57 375 | 95.64 345 | 96.43 366 | 99.56 184 | 91.75 364 | 97.13 364 | 97.61 374 | 95.58 288 | 98.63 373 | 96.68 284 | 99.11 313 | 98.18 355 |
|
thres100view900 | | | 96.39 323 | 96.03 325 | 97.47 332 | 99.63 147 | 95.93 341 | 99.18 153 | 97.57 355 | 98.75 208 | 98.70 308 | 97.31 378 | 87.04 357 | 99.67 333 | 87.62 370 | 98.51 344 | 96.81 368 |
|
PVSNet_0 | | 95.53 19 | 95.85 335 | 95.31 337 | 97.47 332 | 98.78 350 | 93.48 360 | 95.72 368 | 99.40 255 | 96.18 337 | 97.37 358 | 97.73 372 | 95.73 285 | 99.58 355 | 95.49 331 | 81.40 375 | 99.36 234 |
|
TESTMET0.1,1 | | | 96.24 327 | 95.84 329 | 97.41 334 | 98.24 366 | 93.84 358 | 97.38 347 | 95.84 367 | 98.43 234 | 97.81 352 | 98.56 358 | 79.77 375 | 99.89 153 | 97.77 206 | 98.77 331 | 98.52 337 |
|
GG-mvs-BLEND | | | | | 97.36 335 | 97.59 373 | 96.87 328 | 99.70 29 | 88.49 381 | | 94.64 374 | 97.26 379 | 80.66 373 | 99.12 369 | 91.50 362 | 96.50 370 | 96.08 372 |
|
SCA | | | 98.11 276 | 98.36 242 | 97.36 335 | 99.20 297 | 92.99 362 | 98.17 293 | 98.49 339 | 98.24 258 | 99.10 267 | 99.57 202 | 96.01 282 | 99.94 61 | 96.86 273 | 99.62 238 | 99.14 281 |
|
thres200 | | | 96.09 329 | 95.68 332 | 97.33 337 | 99.48 219 | 96.22 337 | 98.53 265 | 97.57 355 | 98.06 269 | 98.37 327 | 96.73 382 | 86.84 361 | 99.61 352 | 86.99 373 | 98.57 341 | 96.16 371 |
|
KD-MVS_2432*1600 | | | 95.89 332 | 95.41 335 | 97.31 338 | 94.96 377 | 93.89 356 | 97.09 357 | 99.22 299 | 97.23 313 | 98.88 287 | 99.04 321 | 79.23 376 | 99.54 357 | 96.24 307 | 96.81 366 | 98.50 341 |
|
miper_refine_blended | | | 95.89 332 | 95.41 335 | 97.31 338 | 94.96 377 | 93.89 356 | 97.09 357 | 99.22 299 | 97.23 313 | 98.88 287 | 99.04 321 | 79.23 376 | 99.54 357 | 96.24 307 | 96.81 366 | 98.50 341 |
|
PatchmatchNet |  | | 97.65 294 | 97.80 287 | 97.18 340 | 98.82 345 | 92.49 364 | 99.17 158 | 98.39 343 | 98.12 264 | 98.79 299 | 99.58 194 | 90.71 340 | 99.89 153 | 97.23 254 | 99.41 286 | 99.16 275 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
EPMVS | | | 96.53 321 | 96.32 319 | 97.17 341 | 98.18 368 | 92.97 363 | 99.39 93 | 89.95 379 | 98.21 260 | 98.61 313 | 99.59 192 | 86.69 364 | 99.72 305 | 96.99 266 | 99.23 311 | 98.81 324 |
|
EPNet_dtu | | | 97.62 295 | 97.79 289 | 97.11 342 | 96.67 376 | 92.31 365 | 98.51 267 | 98.04 347 | 99.24 138 | 95.77 370 | 99.47 239 | 93.78 305 | 99.66 337 | 98.98 108 | 99.62 238 | 99.37 231 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
ECVR-MVS |  | | 97.73 290 | 98.04 269 | 96.78 343 | 99.59 158 | 90.81 375 | 99.72 24 | 90.43 378 | 99.89 14 | 99.86 41 | 99.86 39 | 93.60 308 | 99.89 153 | 99.46 40 | 99.99 12 | 99.65 88 |
|
tmp_tt | | | 95.75 336 | 95.42 334 | 96.76 344 | 89.90 381 | 94.42 354 | 98.86 223 | 97.87 352 | 78.01 372 | 99.30 236 | 99.69 121 | 97.70 219 | 95.89 376 | 99.29 69 | 98.14 354 | 99.95 1 |
|
MVS-HIRNet | | | 97.86 284 | 98.22 255 | 96.76 344 | 99.28 283 | 91.53 371 | 98.38 278 | 92.60 375 | 99.13 159 | 99.31 231 | 99.96 12 | 97.18 251 | 99.68 328 | 98.34 156 | 99.83 142 | 99.07 298 |
|
tpm2 | | | 96.35 324 | 96.22 321 | 96.73 346 | 98.88 339 | 91.75 369 | 99.21 146 | 98.51 337 | 93.27 361 | 97.89 348 | 99.21 300 | 84.83 367 | 99.70 311 | 96.04 313 | 98.18 353 | 98.75 327 |
|
tpmrst | | | 97.73 290 | 98.07 268 | 96.73 346 | 98.71 354 | 92.00 366 | 99.10 181 | 98.86 321 | 98.52 227 | 98.92 283 | 99.54 214 | 91.90 323 | 99.82 257 | 98.02 182 | 99.03 318 | 98.37 345 |
|
DWT-MVSNet_test | | | 96.03 331 | 95.80 330 | 96.71 348 | 98.50 360 | 91.93 367 | 99.25 136 | 97.87 352 | 95.99 339 | 96.81 365 | 97.61 374 | 81.02 372 | 99.66 337 | 97.20 257 | 97.98 357 | 98.54 336 |
|
tpmvs | | | 97.39 302 | 97.69 292 | 96.52 349 | 98.41 361 | 91.76 368 | 99.30 116 | 98.94 320 | 97.74 287 | 97.85 351 | 99.55 212 | 92.40 321 | 99.73 303 | 96.25 306 | 98.73 337 | 98.06 357 |
|
test1111 | | | 97.74 289 | 98.16 263 | 96.49 350 | 99.60 154 | 89.86 379 | 99.71 28 | 91.21 376 | 99.89 14 | 99.88 33 | 99.87 33 | 93.73 306 | 99.90 137 | 99.56 28 | 99.99 12 | 99.70 53 |
|
CostFormer | | | 96.71 318 | 96.79 317 | 96.46 351 | 98.90 333 | 90.71 376 | 99.41 90 | 98.68 329 | 94.69 358 | 98.14 339 | 99.34 273 | 86.32 365 | 99.80 278 | 97.60 228 | 98.07 356 | 98.88 318 |
|
E-PMN | | | 97.14 309 | 97.43 297 | 96.27 352 | 98.79 348 | 91.62 370 | 95.54 369 | 99.01 318 | 99.44 109 | 98.88 287 | 99.12 311 | 92.78 315 | 99.68 328 | 94.30 349 | 99.03 318 | 97.50 363 |
|
dp | | | 96.86 313 | 97.07 307 | 96.24 353 | 98.68 356 | 90.30 378 | 99.19 152 | 98.38 344 | 97.35 308 | 98.23 333 | 99.59 192 | 87.23 355 | 99.82 257 | 96.27 305 | 98.73 337 | 98.59 332 |
|
tpm cat1 | | | 96.78 315 | 96.98 310 | 96.16 354 | 98.85 340 | 90.59 377 | 99.08 188 | 99.32 274 | 92.37 363 | 97.73 357 | 99.46 242 | 91.15 332 | 99.69 317 | 96.07 312 | 98.80 328 | 98.21 352 |
|
EMVS | | | 96.96 312 | 97.28 300 | 95.99 355 | 98.76 352 | 91.03 373 | 95.26 370 | 98.61 333 | 99.34 122 | 98.92 283 | 98.88 345 | 93.79 304 | 99.66 337 | 92.87 358 | 99.05 316 | 97.30 367 |
|
test2506 | | | 94.73 340 | 94.59 342 | 95.15 356 | 99.59 158 | 85.90 381 | 99.75 16 | 74.01 382 | 99.89 14 | 99.71 104 | 99.86 39 | 79.00 380 | 99.90 137 | 99.52 34 | 99.99 12 | 99.65 88 |
|
wuyk23d | | | 97.58 297 | 99.13 123 | 92.93 357 | 99.69 126 | 99.49 129 | 99.52 75 | 99.77 65 | 97.97 274 | 99.96 8 | 99.79 66 | 99.84 3 | 99.94 61 | 95.85 322 | 99.82 151 | 79.36 373 |
|
test_method | | | 91.72 341 | 92.32 344 | 89.91 358 | 93.49 380 | 70.18 382 | 90.28 371 | 99.56 184 | 61.71 375 | 95.39 372 | 99.52 219 | 93.90 301 | 99.94 61 | 98.76 131 | 98.27 349 | 99.62 113 |
|
test123 | | | 29.31 343 | 33.05 348 | 18.08 359 | 25.93 383 | 12.24 383 | 97.53 341 | 10.93 384 | 11.78 377 | 24.21 378 | 50.08 387 | 21.04 382 | 8.60 378 | 23.51 376 | 32.43 377 | 33.39 374 |
|
testmvs | | | 28.94 344 | 33.33 346 | 15.79 360 | 26.03 382 | 9.81 384 | 96.77 363 | 15.67 383 | 11.55 378 | 23.87 379 | 50.74 386 | 19.03 383 | 8.53 379 | 23.21 377 | 33.07 376 | 29.03 375 |
|
test_blank | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
uanet_test | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
DCPMVS | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
cdsmvs_eth3d_5k | | | 24.88 345 | 33.17 347 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 99.62 142 | 0.00 379 | 0.00 380 | 99.13 307 | 99.82 4 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
pcd_1.5k_mvsjas | | | 16.61 346 | 22.14 349 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 99.28 42 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
sosnet-low-res | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
sosnet | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
uncertanet | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
Regformer | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
ab-mvs-re | | | 8.26 355 | 11.02 358 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 99.16 305 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
uanet | | | 8.33 347 | 11.11 350 | 0.00 361 | 0.00 384 | 0.00 385 | 0.00 372 | 0.00 385 | 0.00 379 | 0.00 380 | 100.00 1 | 0.00 384 | 0.00 380 | 0.00 378 | 0.00 378 | 0.00 376 |
|
FOURS1 | | | | | | 99.83 39 | 99.89 8 | 99.74 18 | 99.71 97 | 99.69 58 | 99.63 131 | | | | | | |
|
PC_three_1452 | | | | | | | | | | 97.56 294 | 99.68 112 | 99.41 249 | 99.09 63 | 97.09 375 | 96.66 286 | 99.60 248 | 99.62 113 |
|
test_one_0601 | | | | | | 99.63 147 | 99.76 52 | | 99.55 190 | 99.23 140 | 99.31 231 | 99.61 177 | 98.59 131 | | | | |
|
eth-test2 | | | | | | 0.00 384 | | | | | | | | | | | |
|
eth-test | | | | | | 0.00 384 | | | | | | | | | | | |
|
ZD-MVS | | | | | | 99.43 236 | 99.61 108 | | 99.43 245 | 96.38 333 | 99.11 265 | 99.07 316 | 97.86 210 | 99.92 95 | 94.04 353 | 99.49 274 | |
|
RE-MVS-def | | | | 99.13 123 | | 99.54 186 | 99.74 62 | 99.26 129 | 99.62 142 | 99.16 153 | 99.52 178 | 99.64 149 | 98.57 134 | | 97.27 248 | 99.61 245 | 99.54 162 |
|
IU-MVS | | | | | | 99.69 126 | 99.77 45 | | 99.22 299 | 97.50 300 | 99.69 110 | | | | 97.75 210 | 99.70 211 | 99.77 37 |
|
test_241102_TWO | | | | | | | | | 99.54 196 | 99.13 159 | 99.76 78 | 99.63 159 | 98.32 172 | 99.92 95 | 97.85 201 | 99.69 214 | 99.75 44 |
|
test_241102_ONE | | | | | | 99.69 126 | 99.82 29 | | 99.54 196 | 99.12 162 | 99.82 53 | 99.49 231 | 98.91 87 | 99.52 361 | | | |
|
9.14 | | | | 98.64 212 | | 99.45 232 | | 98.81 233 | 99.60 161 | 97.52 299 | 99.28 237 | 99.56 205 | 98.53 143 | 99.83 247 | 95.36 336 | 99.64 235 | |
|
save fliter | | | | | | 99.53 192 | 99.25 189 | 98.29 284 | 99.38 264 | 99.07 166 | | | | | | | |
|
test_0728_THIRD | | | | | | | | | | 99.18 147 | 99.62 139 | 99.61 177 | 98.58 133 | 99.91 117 | 97.72 212 | 99.80 164 | 99.77 37 |
|
test0726 | | | | | | 99.69 126 | 99.80 37 | 99.24 137 | 99.57 179 | 99.16 153 | 99.73 97 | 99.65 147 | 98.35 167 | | | | |
|
GSMVS | | | | | | | | | | | | | | | | | 99.14 281 |
|
test_part2 | | | | | | 99.62 151 | 99.67 87 | | | | 99.55 169 | | | | | | |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 339 | | | | 99.14 281 |
|
sam_mvs | | | | | | | | | | | | | 90.52 343 | | | | |
|
MTGPA |  | | | | | | | | 99.53 205 | | | | | | | | |
|
test_post1 | | | | | | | | 99.14 168 | | | | 51.63 385 | 89.54 350 | 99.82 257 | 96.86 273 | | |
|
test_post | | | | | | | | | | | | 52.41 384 | 90.25 345 | 99.86 201 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 99.62 168 | 90.58 341 | 99.94 61 | | | |
|
MTMP | | | | | | | | 99.09 185 | 98.59 335 | | | | | | | | |
|
gm-plane-assit | | | | | | 97.59 373 | 89.02 380 | | | 93.47 360 | | 98.30 365 | | 99.84 236 | 96.38 301 | | |
|
test9_res | | | | | | | | | | | | | | | 95.10 339 | 99.44 280 | 99.50 185 |
|
TEST9 | | | | | | 99.35 257 | 99.35 170 | 98.11 300 | 99.41 248 | 94.83 357 | 97.92 346 | 98.99 328 | 98.02 197 | 99.85 219 | | | |
|
test_8 | | | | | | 99.34 267 | 99.31 176 | 98.08 304 | 99.40 255 | 94.90 353 | 97.87 350 | 98.97 334 | 98.02 197 | 99.84 236 | | | |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 347 | 99.46 279 | 99.50 185 |
|
agg_prior | | | | | | 99.35 257 | 99.36 166 | | 99.39 258 | | 97.76 355 | | | 99.85 219 | | | |
|
test_prior4 | | | | | | | 99.19 205 | 98.00 312 | | | | | | | | | |
|
test_prior2 | | | | | | | | 97.95 319 | | 97.87 281 | 98.05 341 | 99.05 318 | 97.90 206 | | 95.99 316 | 99.49 274 | |
|
旧先验2 | | | | | | | | 97.94 321 | | 95.33 348 | 98.94 279 | | | 99.88 168 | 96.75 280 | | |
|
新几何2 | | | | | | | | 98.04 308 | | | | | | | | | |
|
旧先验1 | | | | | | 99.49 213 | 99.29 179 | | 99.26 289 | | | 99.39 257 | 97.67 224 | | | 99.36 294 | 99.46 204 |
|
无先验 | | | | | | | | 98.01 310 | 99.23 296 | 95.83 341 | | | | 99.85 219 | 95.79 325 | | 99.44 211 |
|
原ACMM2 | | | | | | | | 97.92 323 | | | | | | | | | |
|
test222 | | | | | | 99.51 202 | 99.08 220 | 97.83 328 | 99.29 283 | 95.21 350 | 98.68 309 | 99.31 277 | 97.28 244 | | | 99.38 289 | 99.43 217 |
|
testdata2 | | | | | | | | | | | | | | 99.89 153 | 95.99 316 | | |
|
segment_acmp | | | | | | | | | | | | | 98.37 165 | | | | |
|
testdata1 | | | | | | | | 97.72 331 | | 97.86 284 | | | | | | | |
|
plane_prior7 | | | | | | 99.58 163 | 99.38 160 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.47 224 | 99.26 185 | | | | | | 97.24 245 | | | | |
|
plane_prior5 | | | | | | | | | 99.54 196 | | | | | 99.82 257 | 95.84 323 | 99.78 175 | 99.60 128 |
|
plane_prior4 | | | | | | | | | | | | 99.25 291 | | | | | |
|
plane_prior3 | | | | | | | 99.31 176 | | | 98.36 243 | 99.14 261 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 236 | | 98.94 180 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 202 | | | | | | | | | | | |
|
plane_prior | | | | | | | 99.24 194 | 98.42 276 | | 97.87 281 | | | | | | 99.71 209 | |
|
n2 | | | | | | | | | 0.00 385 | | | | | | | | |
|
nn | | | | | | | | | 0.00 385 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 36 | | | | | | | | |
|
test11 | | | | | | | | | 99.29 283 | | | | | | | | |
|
door | | | | | | | | | 99.77 65 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 232 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 274 | | 97.98 315 | | 97.45 302 | 98.15 335 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 274 | | 97.98 315 | | 97.45 302 | 98.15 335 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 343 | | |
|
HQP4-MVS | | | | | | | | | | | 98.15 335 | | | 99.70 311 | | | 99.53 167 |
|
HQP3-MVS | | | | | | | | | 99.37 265 | | | | | | | 99.67 226 | |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 262 | | | | |
|
NP-MVS | | | | | | 99.40 245 | 99.13 210 | | | | | 98.83 347 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 372 | 99.14 168 | | 97.37 307 | 99.21 250 | | 91.78 327 | | 96.75 280 | | 99.03 302 |
|
MDTV_nov1_ep13 | | | | 97.73 291 | | 98.70 355 | 90.83 374 | 99.15 166 | 98.02 348 | 98.51 228 | 98.82 295 | 99.61 177 | 90.98 334 | 99.66 337 | 96.89 272 | 98.92 324 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 67 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 169 | |
|
Test By Simon | | | | | | | | | | | | | 98.41 159 | | | | |
|