LCM-MVSNet | | | 99.95 1 | 99.95 1 | 99.95 1 | 99.99 1 | 99.99 1 | 99.95 2 | 99.97 3 | 99.99 1 | 100.00 1 | 99.98 8 | 99.78 8 | 100.00 1 | 99.92 3 | 100.00 1 | 99.87 10 |
|
test_djsdf | | | 99.84 9 | 99.81 10 | 99.91 2 | 99.94 15 | 99.84 19 | 99.77 14 | 99.80 60 | 99.73 42 | 99.97 6 | 99.92 17 | 99.77 9 | 99.98 7 | 99.43 54 | 100.00 1 | 99.90 5 |
|
ANet_high | | | 99.88 4 | 99.87 4 | 99.91 2 | 99.99 1 | 99.91 3 | 99.65 55 | 100.00 1 | 99.90 6 | 100.00 1 | 99.97 10 | 99.61 17 | 99.97 16 | 99.75 31 | 100.00 1 | 99.84 15 |
|
anonymousdsp | | | 99.80 13 | 99.77 14 | 99.90 4 | 99.96 5 | 99.88 8 | 99.73 22 | 99.85 29 | 99.70 50 | 99.92 31 | 99.93 14 | 99.45 23 | 99.97 16 | 99.36 62 | 100.00 1 | 99.85 14 |
|
mvs_tets | | | 99.90 2 | 99.90 2 | 99.90 4 | 99.96 5 | 99.79 34 | 99.72 26 | 99.88 18 | 99.92 5 | 99.98 3 | 99.93 14 | 99.94 2 | 99.98 7 | 99.77 30 | 100.00 1 | 99.92 3 |
|
Anonymous20231211 | | | 99.83 11 | 99.81 10 | 99.89 6 | 99.97 4 | 99.95 2 | 99.88 4 | 99.93 6 | 99.87 13 | 99.94 20 | 99.98 8 | 99.55 21 | 99.95 41 | 99.21 80 | 99.98 36 | 99.78 31 |
|
PS-MVSNAJss | | | 99.84 9 | 99.82 9 | 99.89 6 | 99.96 5 | 99.77 38 | 99.68 42 | 99.85 29 | 99.95 3 | 99.98 3 | 99.92 17 | 99.28 39 | 99.98 7 | 99.75 31 | 100.00 1 | 99.94 2 |
|
jajsoiax | | | 99.89 3 | 99.89 3 | 99.89 6 | 99.96 5 | 99.78 36 | 99.70 30 | 99.86 22 | 99.89 10 | 99.98 3 | 99.90 23 | 99.94 2 | 99.98 7 | 99.75 31 | 100.00 1 | 99.90 5 |
|
v52 | | | 99.85 7 | 99.84 7 | 99.89 6 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 41 | 99.93 1 | 99.99 20 | 99.82 23 |
|
PS-CasMVS | | | 99.66 37 | 99.58 46 | 99.89 6 | 99.80 70 | 99.85 13 | 99.66 50 | 99.73 93 | 99.62 72 | 99.84 61 | 99.71 112 | 98.62 129 | 99.96 33 | 99.30 72 | 99.96 60 | 99.86 12 |
|
PEN-MVS | | | 99.66 37 | 99.59 44 | 99.89 6 | 99.83 47 | 99.87 9 | 99.66 50 | 99.73 93 | 99.70 50 | 99.84 61 | 99.73 99 | 98.56 135 | 99.96 33 | 99.29 75 | 99.94 80 | 99.83 18 |
|
v7n | | | 99.82 12 | 99.80 12 | 99.88 12 | 99.96 5 | 99.84 19 | 99.82 10 | 99.82 48 | 99.84 23 | 99.94 20 | 99.91 20 | 99.13 57 | 99.96 33 | 99.83 20 | 99.99 20 | 99.83 18 |
|
V4 | | | 99.85 7 | 99.84 7 | 99.88 12 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 41 | 99.93 1 | 100.00 1 | 99.82 23 |
|
DTE-MVSNet | | | 99.68 33 | 99.61 42 | 99.88 12 | 99.80 70 | 99.87 9 | 99.67 47 | 99.71 105 | 99.72 45 | 99.84 61 | 99.78 80 | 98.67 120 | 99.97 16 | 99.30 72 | 99.95 67 | 99.80 25 |
|
LTVRE_ROB | | 99.19 1 | 99.88 4 | 99.87 4 | 99.88 12 | 99.91 21 | 99.90 4 | 99.96 1 | 99.92 7 | 99.90 6 | 99.97 6 | 99.87 37 | 99.81 7 | 99.95 41 | 99.54 45 | 99.99 20 | 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 60 | 99.43 79 | 99.87 16 | 99.76 104 | 99.82 28 | 99.57 69 | 99.61 149 | 99.54 86 | 99.80 75 | 99.64 153 | 97.79 204 | 99.95 41 | 99.21 80 | 99.94 80 | 99.84 15 |
|
WR-MVS_H | | | 99.61 45 | 99.53 62 | 99.87 16 | 99.80 70 | 99.83 23 | 99.67 47 | 99.75 85 | 99.58 84 | 99.85 58 | 99.69 125 | 98.18 179 | 99.94 55 | 99.28 77 | 99.95 67 | 99.83 18 |
|
UA-Net | | | 99.78 15 | 99.76 18 | 99.86 18 | 99.72 131 | 99.71 53 | 99.91 3 | 99.95 5 | 99.96 2 | 99.71 108 | 99.91 20 | 99.15 53 | 99.97 16 | 99.50 49 | 100.00 1 | 99.90 5 |
|
FC-MVSNet-test | | | 99.70 28 | 99.65 34 | 99.86 18 | 99.88 29 | 99.86 12 | 99.72 26 | 99.78 70 | 99.90 6 | 99.82 66 | 99.83 51 | 98.45 154 | 99.87 161 | 99.51 48 | 99.97 47 | 99.86 12 |
|
APDe-MVS | | | 99.48 71 | 99.36 91 | 99.85 20 | 99.55 199 | 99.81 29 | 99.50 75 | 99.69 114 | 98.99 165 | 99.75 92 | 99.71 112 | 98.79 98 | 99.93 66 | 98.46 150 | 99.85 132 | 99.80 25 |
|
Anonymous20240521 | | | 99.67 36 | 99.62 38 | 99.84 21 | 99.91 21 | 99.85 13 | 99.81 12 | 99.76 79 | 99.72 45 | 99.92 31 | 99.83 51 | 98.10 181 | 99.90 110 | 99.58 41 | 99.97 47 | 99.77 34 |
|
FIs | | | 99.65 42 | 99.58 46 | 99.84 21 | 99.84 43 | 99.85 13 | 99.66 50 | 99.75 85 | 99.86 16 | 99.74 100 | 99.79 71 | 98.27 169 | 99.85 197 | 99.37 61 | 99.93 88 | 99.83 18 |
|
v748 | | | 99.76 17 | 99.74 21 | 99.84 21 | 99.95 13 | 99.83 23 | 99.82 10 | 99.80 60 | 99.82 27 | 99.95 16 | 99.87 37 | 98.72 112 | 99.93 66 | 99.72 34 | 99.98 36 | 99.75 41 |
|
OurMVSNet-221017-0 | | | 99.75 19 | 99.71 25 | 99.84 21 | 99.96 5 | 99.83 23 | 99.83 8 | 99.85 29 | 99.80 31 | 99.93 26 | 99.93 14 | 98.54 141 | 99.93 66 | 99.59 39 | 99.98 36 | 99.76 38 |
|
pmmvs6 | | | 99.86 6 | 99.86 6 | 99.83 25 | 99.94 15 | 99.90 4 | 99.83 8 | 99.91 11 | 99.85 19 | 99.94 20 | 99.95 12 | 99.73 10 | 99.90 110 | 99.65 35 | 99.97 47 | 99.69 57 |
|
nrg030 | | | 99.70 28 | 99.66 33 | 99.82 26 | 99.76 104 | 99.84 19 | 99.61 61 | 99.70 108 | 99.93 4 | 99.78 83 | 99.68 137 | 99.10 59 | 99.78 272 | 99.45 52 | 99.96 60 | 99.83 18 |
|
Baseline_NR-MVSNet | | | 99.49 69 | 99.37 88 | 99.82 26 | 99.91 21 | 99.84 19 | 98.83 225 | 99.86 22 | 99.68 57 | 99.65 128 | 99.88 34 | 97.67 213 | 99.87 161 | 99.03 106 | 99.86 129 | 99.76 38 |
|
TransMVSNet (Re) | | | 99.78 15 | 99.77 14 | 99.81 28 | 99.91 21 | 99.85 13 | 99.75 18 | 99.86 22 | 99.70 50 | 99.91 34 | 99.89 31 | 99.60 19 | 99.87 161 | 99.59 39 | 99.74 193 | 99.71 50 |
|
XXY-MVS | | | 99.71 27 | 99.67 32 | 99.81 28 | 99.89 28 | 99.72 52 | 99.59 66 | 99.82 48 | 99.39 112 | 99.82 66 | 99.84 50 | 99.38 28 | 99.91 93 | 99.38 59 | 99.93 88 | 99.80 25 |
|
MP-MVS-pluss | | | 99.14 156 | 98.92 181 | 99.80 30 | 99.83 47 | 99.83 23 | 98.61 243 | 99.63 142 | 96.84 300 | 99.44 180 | 99.58 188 | 98.81 91 | 99.91 93 | 97.70 201 | 99.82 155 | 99.67 70 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
zzz-MVS | | | 99.30 115 | 99.14 125 | 99.80 30 | 99.81 62 | 99.81 29 | 98.73 239 | 99.53 193 | 99.27 124 | 99.42 186 | 99.63 161 | 98.21 174 | 99.95 41 | 97.83 194 | 99.79 172 | 99.65 90 |
|
MTAPA | | | 99.35 103 | 99.20 121 | 99.80 30 | 99.81 62 | 99.81 29 | 99.33 109 | 99.53 193 | 99.27 124 | 99.42 186 | 99.63 161 | 98.21 174 | 99.95 41 | 97.83 194 | 99.79 172 | 99.65 90 |
|
HPM-MVS_fast | | | 99.43 82 | 99.30 102 | 99.80 30 | 99.83 47 | 99.81 29 | 99.52 73 | 99.70 108 | 98.35 232 | 99.51 172 | 99.50 218 | 99.31 35 | 99.88 141 | 98.18 173 | 99.84 136 | 99.69 57 |
|
MIMVSNet1 | | | 99.66 37 | 99.62 38 | 99.80 30 | 99.94 15 | 99.87 9 | 99.69 39 | 99.77 73 | 99.78 34 | 99.93 26 | 99.89 31 | 97.94 193 | 99.92 84 | 99.65 35 | 99.98 36 | 99.62 114 |
|
ACMMP_Plus | | | 99.28 118 | 99.11 134 | 99.79 35 | 99.75 112 | 99.81 29 | 98.95 209 | 99.53 193 | 98.27 241 | 99.53 168 | 99.73 99 | 98.75 108 | 99.87 161 | 97.70 201 | 99.83 146 | 99.68 63 |
|
VPA-MVSNet | | | 99.66 37 | 99.62 38 | 99.79 35 | 99.68 150 | 99.75 45 | 99.62 57 | 99.69 114 | 99.85 19 | 99.80 75 | 99.81 62 | 98.81 91 | 99.91 93 | 99.47 51 | 99.88 115 | 99.70 54 |
|
Vis-MVSNet | | | 99.75 19 | 99.74 21 | 99.79 35 | 99.88 29 | 99.66 72 | 99.69 39 | 99.92 7 | 99.67 59 | 99.77 88 | 99.75 93 | 99.61 17 | 99.98 7 | 99.35 63 | 99.98 36 | 99.72 47 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
pm-mvs1 | | | 99.79 14 | 99.79 13 | 99.78 38 | 99.91 21 | 99.83 23 | 99.76 17 | 99.87 20 | 99.73 42 | 99.89 39 | 99.87 37 | 99.63 15 | 99.87 161 | 99.54 45 | 99.92 91 | 99.63 100 |
|
HPM-MVS | | | 99.25 125 | 99.07 149 | 99.78 38 | 99.81 62 | 99.75 45 | 99.61 61 | 99.67 121 | 97.72 267 | 99.35 208 | 99.25 267 | 99.23 46 | 99.92 84 | 97.21 235 | 99.82 155 | 99.67 70 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
region2R | | | 99.23 129 | 99.05 156 | 99.77 40 | 99.76 104 | 99.70 60 | 99.31 119 | 99.59 167 | 98.41 222 | 99.32 216 | 99.36 244 | 98.73 111 | 99.93 66 | 97.29 227 | 99.74 193 | 99.67 70 |
|
PGM-MVS | | | 99.20 143 | 99.01 166 | 99.77 40 | 99.75 112 | 99.71 53 | 99.16 166 | 99.72 102 | 97.99 252 | 99.42 186 | 99.60 180 | 98.81 91 | 99.93 66 | 96.91 247 | 99.74 193 | 99.66 80 |
|
TDRefinement | | | 99.72 25 | 99.70 28 | 99.77 40 | 99.90 26 | 99.85 13 | 99.86 7 | 99.92 7 | 99.69 54 | 99.78 83 | 99.92 17 | 99.37 30 | 99.88 141 | 98.93 122 | 99.95 67 | 99.60 125 |
|
HSP-MVS | | | 99.01 179 | 98.76 201 | 99.76 43 | 99.78 89 | 99.73 51 | 99.35 100 | 99.31 258 | 98.54 212 | 99.54 165 | 98.99 302 | 96.81 250 | 99.93 66 | 96.97 245 | 99.53 243 | 99.61 119 |
|
HFP-MVS | | | 99.25 125 | 99.08 145 | 99.76 43 | 99.73 121 | 99.70 60 | 99.31 119 | 99.59 167 | 98.36 227 | 99.36 206 | 99.37 239 | 98.80 95 | 99.91 93 | 97.43 220 | 99.75 186 | 99.68 63 |
|
#test# | | | 99.12 159 | 98.90 184 | 99.76 43 | 99.73 121 | 99.70 60 | 99.10 182 | 99.59 167 | 97.60 275 | 99.36 206 | 99.37 239 | 98.80 95 | 99.91 93 | 96.84 251 | 99.75 186 | 99.68 63 |
|
ACMMPR | | | 99.23 129 | 99.06 151 | 99.76 43 | 99.74 118 | 99.69 64 | 99.31 119 | 99.59 167 | 98.36 227 | 99.35 208 | 99.38 238 | 98.61 131 | 99.93 66 | 97.43 220 | 99.75 186 | 99.67 70 |
|
MP-MVS | | | 99.06 167 | 98.83 195 | 99.76 43 | 99.76 104 | 99.71 53 | 99.32 112 | 99.50 208 | 98.35 232 | 98.97 258 | 99.48 220 | 98.37 162 | 99.92 84 | 95.95 292 | 99.75 186 | 99.63 100 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
TranMVSNet+NR-MVSNet | | | 99.54 60 | 99.47 70 | 99.76 43 | 99.58 177 | 99.64 78 | 99.30 122 | 99.63 142 | 99.61 76 | 99.71 108 | 99.56 200 | 98.76 105 | 99.96 33 | 99.14 99 | 99.92 91 | 99.68 63 |
|
mPP-MVS | | | 99.19 146 | 99.00 168 | 99.76 43 | 99.76 104 | 99.68 67 | 99.38 93 | 99.54 188 | 98.34 236 | 99.01 255 | 99.50 218 | 98.53 145 | 99.93 66 | 97.18 237 | 99.78 177 | 99.66 80 |
|
SixPastTwentyTwo | | | 99.42 85 | 99.30 102 | 99.76 43 | 99.92 19 | 99.67 69 | 99.70 30 | 99.14 283 | 99.65 66 | 99.89 39 | 99.90 23 | 96.20 265 | 99.94 55 | 99.42 58 | 99.92 91 | 99.67 70 |
|
SteuartSystems-ACMMP | | | 99.30 115 | 99.14 125 | 99.76 43 | 99.87 33 | 99.66 72 | 99.18 153 | 99.60 163 | 98.55 211 | 99.57 152 | 99.67 143 | 99.03 71 | 99.94 55 | 97.01 243 | 99.80 169 | 99.69 57 |
Skip Steuart: Steuart Systems R&D Blog. |
XVS | | | 99.27 123 | 99.11 134 | 99.75 52 | 99.71 134 | 99.71 53 | 99.37 97 | 99.61 149 | 99.29 121 | 98.76 283 | 99.47 223 | 98.47 151 | 99.88 141 | 97.62 208 | 99.73 199 | 99.67 70 |
|
X-MVStestdata | | | 96.09 321 | 94.87 329 | 99.75 52 | 99.71 134 | 99.71 53 | 99.37 97 | 99.61 149 | 99.29 121 | 98.76 283 | 61.30 363 | 98.47 151 | 99.88 141 | 97.62 208 | 99.73 199 | 99.67 70 |
|
abl_6 | | | 99.36 101 | 99.23 118 | 99.75 52 | 99.71 134 | 99.74 50 | 99.33 109 | 99.76 79 | 99.07 160 | 99.65 128 | 99.63 161 | 99.09 61 | 99.92 84 | 97.13 239 | 99.76 183 | 99.58 140 |
|
CP-MVS | | | 99.23 129 | 99.05 156 | 99.75 52 | 99.66 155 | 99.66 72 | 99.38 93 | 99.62 145 | 98.38 225 | 99.06 252 | 99.27 263 | 98.79 98 | 99.94 55 | 97.51 216 | 99.82 155 | 99.66 80 |
|
SMA-MVS | | | 99.23 129 | 99.06 151 | 99.74 56 | 99.46 234 | 99.76 42 | 99.13 178 | 99.58 175 | 97.62 273 | 99.68 114 | 99.64 153 | 99.02 72 | 99.83 229 | 97.61 210 | 99.82 155 | 99.63 100 |
|
ESAPD | | | 98.87 203 | 98.58 214 | 99.74 56 | 99.62 168 | 99.67 69 | 98.74 236 | 99.53 193 | 97.71 268 | 99.55 162 | 99.57 195 | 98.40 159 | 99.90 110 | 94.47 325 | 99.68 210 | 99.66 80 |
|
HPM-MVS++ | | | 98.96 188 | 98.70 204 | 99.74 56 | 99.52 205 | 99.71 53 | 98.86 219 | 99.19 278 | 98.47 218 | 98.59 297 | 99.06 297 | 98.08 184 | 99.91 93 | 96.94 246 | 99.60 229 | 99.60 125 |
|
APD-MVS_3200maxsize | | | 99.31 114 | 99.16 122 | 99.74 56 | 99.53 203 | 99.75 45 | 99.27 134 | 99.61 149 | 99.19 140 | 99.57 152 | 99.64 153 | 98.76 105 | 99.90 110 | 97.29 227 | 99.62 224 | 99.56 145 |
|
LPG-MVS_test | | | 99.22 138 | 99.05 156 | 99.74 56 | 99.82 54 | 99.63 82 | 99.16 166 | 99.73 93 | 97.56 277 | 99.64 130 | 99.69 125 | 99.37 30 | 99.89 126 | 96.66 261 | 99.87 122 | 99.69 57 |
|
LGP-MVS_train | | | | | 99.74 56 | 99.82 54 | 99.63 82 | | 99.73 93 | 97.56 277 | 99.64 130 | 99.69 125 | 99.37 30 | 99.89 126 | 96.66 261 | 99.87 122 | 99.69 57 |
|
DP-MVS | | | 99.48 71 | 99.39 83 | 99.74 56 | 99.57 186 | 99.62 84 | 99.29 130 | 99.61 149 | 99.87 13 | 99.74 100 | 99.76 89 | 98.69 115 | 99.87 161 | 98.20 169 | 99.80 169 | 99.75 41 |
|
ACMMP | | | 99.25 125 | 99.08 145 | 99.74 56 | 99.79 83 | 99.68 67 | 99.50 75 | 99.65 134 | 98.07 248 | 99.52 170 | 99.69 125 | 98.57 134 | 99.92 84 | 97.18 237 | 99.79 172 | 99.63 100 |
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 |
v13 | | | 99.76 17 | 99.77 14 | 99.73 64 | 99.86 36 | 99.55 97 | 99.77 14 | 99.86 22 | 99.79 33 | 99.96 8 | 99.91 20 | 98.90 84 | 99.87 161 | 99.91 5 | 100.00 1 | 99.78 31 |
|
GBi-Net | | | 99.42 85 | 99.31 97 | 99.73 64 | 99.49 219 | 99.77 38 | 99.68 42 | 99.70 108 | 99.44 102 | 99.62 141 | 99.83 51 | 97.21 237 | 99.90 110 | 98.96 116 | 99.90 103 | 99.53 159 |
|
test1 | | | 99.42 85 | 99.31 97 | 99.73 64 | 99.49 219 | 99.77 38 | 99.68 42 | 99.70 108 | 99.44 102 | 99.62 141 | 99.83 51 | 97.21 237 | 99.90 110 | 98.96 116 | 99.90 103 | 99.53 159 |
|
FMVSNet1 | | | 99.66 37 | 99.63 37 | 99.73 64 | 99.78 89 | 99.77 38 | 99.68 42 | 99.70 108 | 99.67 59 | 99.82 66 | 99.83 51 | 98.98 74 | 99.90 110 | 99.24 79 | 99.97 47 | 99.53 159 |
|
HyFIR lowres test | | | 98.91 196 | 98.64 209 | 99.73 64 | 99.85 40 | 99.47 107 | 98.07 300 | 99.83 40 | 98.64 204 | 99.89 39 | 99.60 180 | 92.57 297 | 100.00 1 | 99.33 66 | 99.97 47 | 99.72 47 |
|
v12 | | | 99.75 19 | 99.77 14 | 99.72 69 | 99.85 40 | 99.53 100 | 99.75 18 | 99.86 22 | 99.78 34 | 99.96 8 | 99.90 23 | 98.88 87 | 99.86 181 | 99.91 5 | 100.00 1 | 99.77 34 |
|
UniMVSNet_NR-MVSNet | | | 99.37 98 | 99.25 115 | 99.72 69 | 99.47 230 | 99.56 94 | 98.97 207 | 99.61 149 | 99.43 107 | 99.67 118 | 99.28 261 | 97.85 200 | 99.95 41 | 99.17 89 | 99.81 164 | 99.65 90 |
|
ACMM | | 98.09 11 | 99.46 78 | 99.38 85 | 99.72 69 | 99.80 70 | 99.69 64 | 99.13 178 | 99.65 134 | 98.99 165 | 99.64 130 | 99.72 105 | 99.39 24 | 99.86 181 | 98.23 166 | 99.81 164 | 99.60 125 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
ACMH | | 98.42 6 | 99.59 46 | 99.54 54 | 99.72 69 | 99.86 36 | 99.62 84 | 99.56 71 | 99.79 68 | 98.77 190 | 99.80 75 | 99.85 45 | 99.64 14 | 99.85 197 | 98.70 138 | 99.89 109 | 99.70 54 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
v11 | | | 99.75 19 | 99.76 18 | 99.71 73 | 99.85 40 | 99.49 103 | 99.73 22 | 99.84 37 | 99.75 39 | 99.95 16 | 99.90 23 | 98.93 80 | 99.86 181 | 99.92 3 | 100.00 1 | 99.77 34 |
|
VPNet | | | 99.46 78 | 99.37 88 | 99.71 73 | 99.82 54 | 99.59 89 | 99.48 79 | 99.70 108 | 99.81 28 | 99.69 112 | 99.58 188 | 97.66 217 | 99.86 181 | 99.17 89 | 99.44 253 | 99.67 70 |
|
V9 | | | 99.74 23 | 99.75 20 | 99.71 73 | 99.84 43 | 99.50 101 | 99.74 20 | 99.86 22 | 99.76 38 | 99.96 8 | 99.90 23 | 98.83 90 | 99.85 197 | 99.91 5 | 100.00 1 | 99.77 34 |
|
DU-MVS | | | 99.33 111 | 99.21 120 | 99.71 73 | 99.43 241 | 99.56 94 | 98.83 225 | 99.53 193 | 99.38 113 | 99.67 118 | 99.36 244 | 97.67 213 | 99.95 41 | 99.17 89 | 99.81 164 | 99.63 100 |
|
APD-MVS | | | 98.87 203 | 98.59 212 | 99.71 73 | 99.50 214 | 99.62 84 | 99.01 197 | 99.57 178 | 96.80 302 | 99.54 165 | 99.63 161 | 98.29 167 | 99.91 93 | 95.24 316 | 99.71 205 | 99.61 119 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
ACMH+ | | 98.40 8 | 99.50 67 | 99.43 79 | 99.71 73 | 99.86 36 | 99.76 42 | 99.32 112 | 99.77 73 | 99.53 88 | 99.77 88 | 99.76 89 | 99.26 45 | 99.78 272 | 97.77 197 | 99.88 115 | 99.60 125 |
|
COLMAP_ROB | | 98.06 12 | 99.45 80 | 99.37 88 | 99.70 79 | 99.83 47 | 99.70 60 | 99.38 93 | 99.78 70 | 99.53 88 | 99.67 118 | 99.78 80 | 99.19 49 | 99.86 181 | 97.32 225 | 99.87 122 | 99.55 148 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
V14 | | | 99.73 24 | 99.74 21 | 99.69 80 | 99.83 47 | 99.48 106 | 99.72 26 | 99.85 29 | 99.74 40 | 99.96 8 | 99.89 31 | 98.79 98 | 99.85 197 | 99.91 5 | 100.00 1 | 99.76 38 |
|
K. test v3 | | | 98.87 203 | 98.60 211 | 99.69 80 | 99.93 18 | 99.46 111 | 99.74 20 | 94.97 356 | 99.78 34 | 99.88 47 | 99.88 34 | 93.66 288 | 99.97 16 | 99.61 38 | 99.95 67 | 99.64 96 |
|
wuykxyi23d | | | 99.65 42 | 99.64 36 | 99.69 80 | 99.92 19 | 99.20 187 | 98.89 214 | 99.99 2 | 98.73 198 | 99.95 16 | 99.80 64 | 99.84 4 | 99.99 4 | 99.64 37 | 99.98 36 | 99.89 9 |
|
v15 | | | 99.72 25 | 99.73 24 | 99.68 83 | 99.82 54 | 99.44 118 | 99.70 30 | 99.85 29 | 99.72 45 | 99.95 16 | 99.88 34 | 98.76 105 | 99.84 213 | 99.90 9 | 100.00 1 | 99.75 41 |
|
UniMVSNet (Re) | | | 99.37 98 | 99.26 113 | 99.68 83 | 99.51 209 | 99.58 91 | 98.98 206 | 99.60 163 | 99.43 107 | 99.70 110 | 99.36 244 | 97.70 208 | 99.88 141 | 99.20 83 | 99.87 122 | 99.59 136 |
|
NR-MVSNet | | | 99.40 91 | 99.31 97 | 99.68 83 | 99.43 241 | 99.55 97 | 99.73 22 | 99.50 208 | 99.46 100 | 99.88 47 | 99.36 244 | 97.54 220 | 99.87 161 | 98.97 115 | 99.87 122 | 99.63 100 |
|
v17 | | | 99.70 28 | 99.71 25 | 99.67 86 | 99.81 62 | 99.44 118 | 99.70 30 | 99.83 40 | 99.69 54 | 99.94 20 | 99.87 37 | 98.70 113 | 99.84 213 | 99.88 14 | 99.99 20 | 99.73 44 |
|
v16 | | | 99.70 28 | 99.71 25 | 99.67 86 | 99.81 62 | 99.43 124 | 99.70 30 | 99.83 40 | 99.70 50 | 99.94 20 | 99.87 37 | 98.69 115 | 99.84 213 | 99.88 14 | 99.99 20 | 99.73 44 |
|
LCM-MVSNet-Re | | | 99.28 118 | 99.15 124 | 99.67 86 | 99.33 271 | 99.76 42 | 99.34 107 | 99.97 3 | 98.93 171 | 99.91 34 | 99.79 71 | 98.68 117 | 99.93 66 | 96.80 253 | 99.56 232 | 99.30 233 |
|
1112_ss | | | 99.05 170 | 98.84 192 | 99.67 86 | 99.66 155 | 99.29 162 | 98.52 257 | 99.82 48 | 97.65 272 | 99.43 184 | 99.16 280 | 96.42 260 | 99.91 93 | 99.07 104 | 99.84 136 | 99.80 25 |
|
DeepPCF-MVS | | 98.42 6 | 99.18 148 | 99.02 163 | 99.67 86 | 99.22 287 | 99.75 45 | 97.25 340 | 99.47 217 | 98.72 199 | 99.66 122 | 99.70 119 | 99.29 37 | 99.63 334 | 98.07 181 | 99.81 164 | 99.62 114 |
|
DeepC-MVS | | 98.90 4 | 99.62 44 | 99.61 42 | 99.67 86 | 99.72 131 | 99.44 118 | 99.24 141 | 99.71 105 | 99.27 124 | 99.93 26 | 99.90 23 | 99.70 12 | 99.93 66 | 98.99 109 | 99.99 20 | 99.64 96 |
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 | 99.05 170 | 98.84 192 | 99.67 86 | 99.78 89 | 99.55 97 | 98.88 216 | 99.66 125 | 97.11 296 | 99.47 177 | 99.60 180 | 99.07 66 | 99.89 126 | 96.18 278 | 99.85 132 | 99.58 140 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
3Dnovator+ | | 98.92 3 | 99.35 103 | 99.24 116 | 99.67 86 | 99.35 257 | 99.47 107 | 99.62 57 | 99.50 208 | 99.44 102 | 99.12 245 | 99.78 80 | 98.77 104 | 99.94 55 | 97.87 191 | 99.72 204 | 99.62 114 |
|
v10 | | | 99.69 32 | 99.69 29 | 99.66 94 | 99.81 62 | 99.39 136 | 99.66 50 | 99.75 85 | 99.60 81 | 99.92 31 | 99.87 37 | 98.75 108 | 99.86 181 | 99.90 9 | 99.99 20 | 99.73 44 |
|
WR-MVS | | | 99.11 162 | 98.93 178 | 99.66 94 | 99.30 277 | 99.42 128 | 98.42 270 | 99.37 246 | 99.04 162 | 99.57 152 | 99.20 278 | 96.89 249 | 99.86 181 | 98.66 142 | 99.87 122 | 99.70 54 |
|
XVG-OURS-SEG-HR | | | 99.16 153 | 98.99 171 | 99.66 94 | 99.84 43 | 99.64 78 | 98.25 281 | 99.73 93 | 98.39 224 | 99.63 134 | 99.43 229 | 99.70 12 | 99.90 110 | 97.34 224 | 98.64 315 | 99.44 199 |
|
EPP-MVSNet | | | 99.17 151 | 99.00 168 | 99.66 94 | 99.80 70 | 99.43 124 | 99.70 30 | 99.24 274 | 99.48 93 | 99.56 159 | 99.77 86 | 94.89 278 | 99.93 66 | 98.72 137 | 99.89 109 | 99.63 100 |
|
v18 | | | 99.68 33 | 99.69 29 | 99.65 98 | 99.79 83 | 99.40 133 | 99.68 42 | 99.83 40 | 99.66 63 | 99.93 26 | 99.85 45 | 98.65 124 | 99.84 213 | 99.87 18 | 99.99 20 | 99.71 50 |
|
v8 | | | 99.68 33 | 99.69 29 | 99.65 98 | 99.80 70 | 99.40 133 | 99.66 50 | 99.76 79 | 99.64 68 | 99.93 26 | 99.85 45 | 98.66 122 | 99.84 213 | 99.88 14 | 99.99 20 | 99.71 50 |
|
MCST-MVS | | | 99.02 175 | 98.81 197 | 99.65 98 | 99.58 177 | 99.49 103 | 98.58 247 | 99.07 286 | 98.40 223 | 99.04 253 | 99.25 267 | 98.51 149 | 99.80 261 | 97.31 226 | 99.51 245 | 99.65 90 |
|
XVG-OURS | | | 99.21 141 | 99.06 151 | 99.65 98 | 99.82 54 | 99.62 84 | 97.87 320 | 99.74 90 | 98.36 227 | 99.66 122 | 99.68 137 | 99.71 11 | 99.90 110 | 96.84 251 | 99.88 115 | 99.43 205 |
|
CHOSEN 1792x2688 | | | 99.39 94 | 99.30 102 | 99.65 98 | 99.88 29 | 99.25 174 | 98.78 234 | 99.88 18 | 98.66 202 | 99.96 8 | 99.79 71 | 97.45 224 | 99.93 66 | 99.34 64 | 99.99 20 | 99.78 31 |
|
QAPM | | | 98.40 246 | 97.99 257 | 99.65 98 | 99.39 249 | 99.47 107 | 99.67 47 | 99.52 203 | 91.70 347 | 98.78 282 | 99.80 64 | 98.55 139 | 99.95 41 | 94.71 323 | 99.75 186 | 99.53 159 |
|
3Dnovator | | 99.15 2 | 99.43 82 | 99.36 91 | 99.65 98 | 99.39 249 | 99.42 128 | 99.70 30 | 99.56 181 | 99.23 135 | 99.35 208 | 99.80 64 | 99.17 51 | 99.95 41 | 98.21 168 | 99.84 136 | 99.59 136 |
|
lessismore_v0 | | | | | 99.64 105 | 99.86 36 | 99.38 142 | | 90.66 359 | | 99.89 39 | 99.83 51 | 94.56 282 | 99.97 16 | 99.56 44 | 99.92 91 | 99.57 144 |
|
114514_t | | | 98.49 236 | 98.11 251 | 99.64 105 | 99.73 121 | 99.58 91 | 99.24 141 | 99.76 79 | 89.94 350 | 99.42 186 | 99.56 200 | 97.76 206 | 99.86 181 | 97.74 199 | 99.82 155 | 99.47 188 |
|
CPTT-MVS | | | 98.74 217 | 98.44 223 | 99.64 105 | 99.61 170 | 99.38 142 | 99.18 153 | 99.55 184 | 96.49 310 | 99.27 223 | 99.37 239 | 97.11 243 | 99.92 84 | 95.74 299 | 99.67 216 | 99.62 114 |
|
RPSCF | | | 99.18 148 | 99.02 163 | 99.64 105 | 99.83 47 | 99.85 13 | 99.44 82 | 99.82 48 | 98.33 237 | 99.50 174 | 99.78 80 | 97.90 195 | 99.65 330 | 96.78 254 | 99.83 146 | 99.44 199 |
|
TSAR-MVS + MP. | | | 99.34 108 | 99.24 116 | 99.63 109 | 99.82 54 | 99.37 145 | 99.26 135 | 99.35 249 | 98.77 190 | 99.57 152 | 99.70 119 | 99.27 42 | 99.88 141 | 97.71 200 | 99.75 186 | 99.65 90 |
|
OPM-MVS | | | 99.26 124 | 99.13 128 | 99.63 109 | 99.70 141 | 99.61 88 | 98.58 247 | 99.48 213 | 98.50 215 | 99.52 170 | 99.63 161 | 99.14 54 | 99.76 280 | 97.89 190 | 99.77 181 | 99.51 170 |
|
AllTest | | | 99.21 141 | 99.07 149 | 99.63 109 | 99.78 89 | 99.64 78 | 99.12 180 | 99.83 40 | 98.63 205 | 99.63 134 | 99.72 105 | 98.68 117 | 99.75 286 | 96.38 272 | 99.83 146 | 99.51 170 |
|
TestCases | | | | | 99.63 109 | 99.78 89 | 99.64 78 | | 99.83 40 | 98.63 205 | 99.63 134 | 99.72 105 | 98.68 117 | 99.75 286 | 96.38 272 | 99.83 146 | 99.51 170 |
|
V42 | | | 99.56 51 | 99.54 54 | 99.63 109 | 99.79 83 | 99.46 111 | 99.39 87 | 99.59 167 | 99.24 133 | 99.86 57 | 99.70 119 | 98.55 139 | 99.82 237 | 99.79 26 | 99.95 67 | 99.60 125 |
|
XVG-ACMP-BASELINE | | | 99.23 129 | 99.10 141 | 99.63 109 | 99.82 54 | 99.58 91 | 98.83 225 | 99.72 102 | 98.36 227 | 99.60 148 | 99.71 112 | 98.92 81 | 99.91 93 | 97.08 240 | 99.84 136 | 99.40 210 |
|
Test_1112_low_res | | | 98.95 191 | 98.73 202 | 99.63 109 | 99.68 150 | 99.15 193 | 98.09 296 | 99.80 60 | 97.14 293 | 99.46 179 | 99.40 234 | 96.11 267 | 99.89 126 | 99.01 108 | 99.84 136 | 99.84 15 |
|
TAMVS | | | 99.49 69 | 99.45 74 | 99.63 109 | 99.48 225 | 99.42 128 | 99.45 80 | 99.57 178 | 99.66 63 | 99.78 83 | 99.83 51 | 97.85 200 | 99.86 181 | 99.44 53 | 99.96 60 | 99.61 119 |
|
testing_2 | | | 99.58 47 | 99.56 52 | 99.62 117 | 99.81 62 | 99.44 118 | 99.14 173 | 99.43 228 | 99.69 54 | 99.82 66 | 99.79 71 | 99.14 54 | 99.79 264 | 99.31 71 | 99.95 67 | 99.63 100 |
|
EG-PatchMatch MVS | | | 99.57 48 | 99.56 52 | 99.62 117 | 99.77 99 | 99.33 155 | 99.26 135 | 99.76 79 | 99.32 120 | 99.80 75 | 99.78 80 | 99.29 37 | 99.87 161 | 99.15 93 | 99.91 101 | 99.66 80 |
|
F-COLMAP | | | 98.74 217 | 98.45 222 | 99.62 117 | 99.57 186 | 99.47 107 | 98.84 223 | 99.65 134 | 96.31 312 | 98.93 266 | 99.19 279 | 97.68 212 | 99.87 161 | 96.52 267 | 99.37 267 | 99.53 159 |
|
v1neww | | | 99.55 55 | 99.54 54 | 99.61 120 | 99.80 70 | 99.39 136 | 99.32 112 | 99.61 149 | 99.18 141 | 99.87 52 | 99.69 125 | 98.64 127 | 99.82 237 | 99.79 26 | 99.94 80 | 99.60 125 |
|
v7new | | | 99.55 55 | 99.54 54 | 99.61 120 | 99.80 70 | 99.39 136 | 99.32 112 | 99.61 149 | 99.18 141 | 99.87 52 | 99.69 125 | 98.64 127 | 99.82 237 | 99.79 26 | 99.94 80 | 99.60 125 |
|
v7 | | | 99.56 51 | 99.54 54 | 99.61 120 | 99.80 70 | 99.39 136 | 99.30 122 | 99.59 167 | 99.14 150 | 99.82 66 | 99.72 105 | 98.75 108 | 99.84 213 | 99.83 20 | 99.94 80 | 99.61 119 |
|
v6 | | | 99.55 55 | 99.54 54 | 99.61 120 | 99.80 70 | 99.39 136 | 99.32 112 | 99.60 163 | 99.18 141 | 99.87 52 | 99.68 137 | 98.65 124 | 99.82 237 | 99.79 26 | 99.95 67 | 99.61 119 |
|
CDPH-MVS | | | 98.56 229 | 98.20 245 | 99.61 120 | 99.50 214 | 99.46 111 | 98.32 277 | 99.41 231 | 95.22 329 | 99.21 234 | 99.10 288 | 98.34 164 | 99.82 237 | 95.09 319 | 99.66 219 | 99.56 145 |
|
LS3D | | | 99.24 128 | 99.11 134 | 99.61 120 | 98.38 345 | 99.79 34 | 99.57 69 | 99.68 117 | 99.61 76 | 99.15 242 | 99.71 112 | 98.70 113 | 99.91 93 | 97.54 214 | 99.68 210 | 99.13 260 |
|
tfpnnormal | | | 99.43 82 | 99.38 85 | 99.60 126 | 99.87 33 | 99.75 45 | 99.59 66 | 99.78 70 | 99.71 48 | 99.90 36 | 99.69 125 | 98.85 89 | 99.90 110 | 97.25 231 | 99.78 177 | 99.15 253 |
|
CSCG | | | 99.37 98 | 99.29 107 | 99.60 126 | 99.71 134 | 99.46 111 | 99.43 83 | 99.85 29 | 98.79 187 | 99.41 192 | 99.60 180 | 98.92 81 | 99.92 84 | 98.02 182 | 99.92 91 | 99.43 205 |
|
v1144 | | | 99.54 60 | 99.53 62 | 99.59 128 | 99.79 83 | 99.28 164 | 99.10 182 | 99.61 149 | 99.20 139 | 99.84 61 | 99.73 99 | 98.67 120 | 99.84 213 | 99.86 19 | 99.98 36 | 99.64 96 |
|
testmv | | | 99.53 66 | 99.51 67 | 99.59 128 | 99.73 121 | 99.31 158 | 98.48 261 | 99.92 7 | 99.57 85 | 99.87 52 | 99.79 71 | 99.12 58 | 99.91 93 | 99.16 92 | 99.99 20 | 99.55 148 |
|
UnsupCasMVSNet_eth | | | 98.83 207 | 98.57 216 | 99.59 128 | 99.68 150 | 99.45 116 | 98.99 202 | 99.67 121 | 99.48 93 | 99.55 162 | 99.36 244 | 94.92 277 | 99.86 181 | 98.95 120 | 96.57 351 | 99.45 194 |
|
PHI-MVS | | | 99.11 162 | 98.95 177 | 99.59 128 | 99.13 298 | 99.59 89 | 99.17 160 | 99.65 134 | 97.88 258 | 99.25 226 | 99.46 226 | 98.97 76 | 99.80 261 | 97.26 230 | 99.82 155 | 99.37 219 |
|
v144192 | | | 99.55 55 | 99.54 54 | 99.58 132 | 99.78 89 | 99.20 187 | 99.11 181 | 99.62 145 | 99.18 141 | 99.89 39 | 99.72 105 | 98.66 122 | 99.87 161 | 99.88 14 | 99.97 47 | 99.66 80 |
|
v2v482 | | | 99.50 67 | 99.47 70 | 99.58 132 | 99.78 89 | 99.25 174 | 99.14 173 | 99.58 175 | 99.25 131 | 99.81 72 | 99.62 168 | 98.24 171 | 99.84 213 | 99.83 20 | 99.97 47 | 99.64 96 |
|
v1 | | | 99.54 60 | 99.52 64 | 99.58 132 | 99.77 99 | 99.28 164 | 99.15 168 | 99.61 149 | 99.26 128 | 99.88 47 | 99.68 137 | 98.56 135 | 99.82 237 | 99.82 23 | 99.97 47 | 99.63 100 |
|
test20.03 | | | 99.55 55 | 99.54 54 | 99.58 132 | 99.79 83 | 99.37 145 | 99.02 195 | 99.89 15 | 99.60 81 | 99.82 66 | 99.62 168 | 98.81 91 | 99.89 126 | 99.43 54 | 99.86 129 | 99.47 188 |
|
PM-MVS | | | 99.36 101 | 99.29 107 | 99.58 132 | 99.83 47 | 99.66 72 | 98.95 209 | 99.86 22 | 98.85 179 | 99.81 72 | 99.73 99 | 98.40 159 | 99.92 84 | 98.36 156 | 99.83 146 | 99.17 251 |
|
NCCC | | | 98.82 209 | 98.57 216 | 99.58 132 | 99.21 288 | 99.31 158 | 98.61 243 | 99.25 271 | 98.65 203 | 98.43 307 | 99.26 265 | 97.86 199 | 99.81 256 | 96.55 266 | 99.27 279 | 99.61 119 |
|
train_agg | | | 98.35 251 | 97.95 261 | 99.57 138 | 99.35 257 | 99.35 152 | 98.11 294 | 99.41 231 | 94.90 333 | 97.92 328 | 98.99 302 | 98.02 188 | 99.85 197 | 95.38 314 | 99.44 253 | 99.50 176 |
|
agg_prior1 | | | 98.33 254 | 97.92 263 | 99.57 138 | 99.35 257 | 99.36 148 | 97.99 308 | 99.39 240 | 94.85 336 | 97.76 338 | 98.98 305 | 98.03 186 | 99.85 197 | 95.49 309 | 99.44 253 | 99.51 170 |
|
v1192 | | | 99.57 48 | 99.57 49 | 99.57 138 | 99.77 99 | 99.22 181 | 99.04 192 | 99.60 163 | 99.18 141 | 99.87 52 | 99.72 105 | 99.08 64 | 99.85 197 | 99.89 13 | 99.98 36 | 99.66 80 |
|
v1141 | | | 99.54 60 | 99.52 64 | 99.57 138 | 99.78 89 | 99.27 168 | 99.15 168 | 99.61 149 | 99.26 128 | 99.89 39 | 99.69 125 | 98.56 135 | 99.82 237 | 99.82 23 | 99.97 47 | 99.63 100 |
|
divwei89l23v2f112 | | | 99.54 60 | 99.52 64 | 99.57 138 | 99.78 89 | 99.27 168 | 99.15 168 | 99.61 149 | 99.26 128 | 99.89 39 | 99.69 125 | 98.56 135 | 99.82 237 | 99.82 23 | 99.96 60 | 99.63 100 |
|
PMMVS2 | | | 99.48 71 | 99.45 74 | 99.57 138 | 99.76 104 | 98.99 208 | 98.09 296 | 99.90 14 | 98.95 168 | 99.78 83 | 99.58 188 | 99.57 20 | 99.93 66 | 99.48 50 | 99.95 67 | 99.79 30 |
|
VNet | | | 99.18 148 | 99.06 151 | 99.56 144 | 99.24 285 | 99.36 148 | 99.33 109 | 99.31 258 | 99.67 59 | 99.47 177 | 99.57 195 | 96.48 257 | 99.84 213 | 99.15 93 | 99.30 274 | 99.47 188 |
|
CNVR-MVS | | | 98.99 184 | 98.80 199 | 99.56 144 | 99.25 283 | 99.43 124 | 98.54 255 | 99.27 266 | 98.58 209 | 98.80 279 | 99.43 229 | 98.53 145 | 99.70 299 | 97.22 233 | 99.59 230 | 99.54 156 |
|
DeepC-MVS_fast | | 98.47 5 | 99.23 129 | 99.12 131 | 99.56 144 | 99.28 280 | 99.22 181 | 98.99 202 | 99.40 237 | 99.08 158 | 99.58 150 | 99.64 153 | 98.90 84 | 99.83 229 | 97.44 219 | 99.75 186 | 99.63 100 |
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 51 | 99.57 49 | 99.55 147 | 99.75 112 | 99.11 196 | 99.05 190 | 99.61 149 | 99.15 148 | 99.88 47 | 99.71 112 | 99.08 64 | 99.87 161 | 99.90 9 | 99.97 47 | 99.66 80 |
|
HQP_MVS | | | 98.90 198 | 98.68 206 | 99.55 147 | 99.58 177 | 99.24 177 | 98.80 230 | 99.54 188 | 98.94 169 | 99.14 243 | 99.25 267 | 97.24 234 | 99.82 237 | 95.84 295 | 99.78 177 | 99.60 125 |
|
FMVSNet2 | | | 99.35 103 | 99.28 109 | 99.55 147 | 99.49 219 | 99.35 152 | 99.45 80 | 99.57 178 | 99.44 102 | 99.70 110 | 99.74 95 | 97.21 237 | 99.87 161 | 99.03 106 | 99.94 80 | 99.44 199 |
|
IS-MVSNet | | | 99.03 173 | 98.85 190 | 99.55 147 | 99.80 70 | 99.25 174 | 99.73 22 | 99.15 282 | 99.37 114 | 99.61 146 | 99.71 112 | 94.73 280 | 99.81 256 | 97.70 201 | 99.88 115 | 99.58 140 |
|
test12 | | | | | 99.54 151 | 99.29 278 | 99.33 155 | | 99.16 281 | | 98.43 307 | | 97.54 220 | 99.82 237 | | 99.47 250 | 99.48 183 |
|
agg_prior3 | | | 98.24 256 | 97.81 269 | 99.53 152 | 99.34 267 | 99.26 170 | 98.09 296 | 99.39 240 | 94.21 341 | 97.77 337 | 98.96 310 | 97.74 207 | 99.84 213 | 95.38 314 | 99.44 253 | 99.50 176 |
|
Regformer-2 | | | 99.34 108 | 99.27 111 | 99.53 152 | 99.41 245 | 99.10 199 | 98.99 202 | 99.53 193 | 99.47 97 | 99.66 122 | 99.52 211 | 98.80 95 | 99.89 126 | 98.31 161 | 99.74 193 | 99.60 125 |
|
Effi-MVS+-dtu | | | 99.07 166 | 98.92 181 | 99.52 154 | 98.89 319 | 99.78 36 | 99.15 168 | 99.66 125 | 99.34 117 | 98.92 268 | 99.24 272 | 97.69 210 | 99.98 7 | 98.11 178 | 99.28 276 | 98.81 295 |
|
新几何1 | | | | | 99.52 154 | 99.50 214 | 99.22 181 | | 99.26 268 | 95.66 325 | 98.60 296 | 99.28 261 | 97.67 213 | 99.89 126 | 95.95 292 | 99.32 272 | 99.45 194 |
|
1121 | | | 98.56 229 | 98.24 241 | 99.52 154 | 99.49 219 | 99.24 177 | 99.30 122 | 99.22 276 | 95.77 321 | 98.52 301 | 99.29 260 | 97.39 228 | 99.85 197 | 95.79 297 | 99.34 269 | 99.46 192 |
|
pmmvs-eth3d | | | 99.48 71 | 99.47 70 | 99.51 157 | 99.77 99 | 99.41 132 | 98.81 229 | 99.66 125 | 99.42 109 | 99.75 92 | 99.66 147 | 99.20 48 | 99.76 280 | 98.98 111 | 99.99 20 | 99.36 222 |
|
v1240 | | | 99.56 51 | 99.58 46 | 99.51 157 | 99.80 70 | 99.00 207 | 99.00 199 | 99.65 134 | 99.15 148 | 99.90 36 | 99.75 93 | 99.09 61 | 99.88 141 | 99.90 9 | 99.96 60 | 99.67 70 |
|
Regformer-4 | | | 99.45 80 | 99.44 76 | 99.50 159 | 99.52 205 | 98.94 214 | 99.17 160 | 99.53 193 | 99.64 68 | 99.76 91 | 99.60 180 | 98.96 79 | 99.90 110 | 98.91 123 | 99.84 136 | 99.67 70 |
|
CDS-MVSNet | | | 99.22 138 | 99.13 128 | 99.50 159 | 99.35 257 | 99.11 196 | 98.96 208 | 99.54 188 | 99.46 100 | 99.61 146 | 99.70 119 | 96.31 262 | 99.83 229 | 99.34 64 | 99.88 115 | 99.55 148 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
Patchmtry | | | 98.78 214 | 98.54 219 | 99.49 161 | 98.89 319 | 99.19 189 | 99.32 112 | 99.67 121 | 99.65 66 | 99.72 104 | 99.79 71 | 91.87 303 | 99.95 41 | 98.00 185 | 99.97 47 | 99.33 227 |
|
UGNet | | | 99.38 96 | 99.34 93 | 99.49 161 | 98.90 315 | 98.90 221 | 99.70 30 | 99.35 249 | 99.86 16 | 98.57 299 | 99.81 62 | 98.50 150 | 99.93 66 | 99.38 59 | 99.98 36 | 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 48 | 99.59 44 | 99.49 161 | 99.98 3 | 99.71 53 | 99.72 26 | 99.84 37 | 99.81 28 | 99.94 20 | 99.78 80 | 98.91 83 | 99.71 298 | 98.41 152 | 99.95 67 | 99.05 278 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
DELS-MVS | | | 99.34 108 | 99.30 102 | 99.48 164 | 99.51 209 | 99.36 148 | 98.12 292 | 99.53 193 | 99.36 116 | 99.41 192 | 99.61 177 | 99.22 47 | 99.87 161 | 99.21 80 | 99.68 210 | 99.20 244 |
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 | 98.36 248 | 97.99 257 | 99.48 164 | 99.32 272 | 99.24 177 | 98.50 259 | 99.51 205 | 95.19 331 | 98.58 298 | 98.96 310 | 96.95 248 | 99.83 229 | 95.63 306 | 99.25 280 | 99.37 219 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
Anonymous20231206 | | | 99.35 103 | 99.31 97 | 99.47 166 | 99.74 118 | 99.06 206 | 99.28 131 | 99.74 90 | 99.23 135 | 99.72 104 | 99.53 209 | 97.63 219 | 99.88 141 | 99.11 101 | 99.84 136 | 99.48 183 |
|
Regformer-1 | | | 99.32 113 | 99.27 111 | 99.47 166 | 99.41 245 | 98.95 213 | 98.99 202 | 99.48 213 | 99.48 93 | 99.66 122 | 99.52 211 | 98.78 101 | 99.87 161 | 98.36 156 | 99.74 193 | 99.60 125 |
|
ab-mvs | | | 99.33 111 | 99.28 109 | 99.47 166 | 99.57 186 | 99.39 136 | 99.78 13 | 99.43 228 | 98.87 177 | 99.57 152 | 99.82 59 | 98.06 185 | 99.87 161 | 98.69 139 | 99.73 199 | 99.15 253 |
|
Fast-Effi-MVS+ | | | 99.02 175 | 98.87 187 | 99.46 169 | 99.38 252 | 99.50 101 | 99.04 192 | 99.79 68 | 97.17 291 | 98.62 294 | 98.74 326 | 99.34 34 | 99.95 41 | 98.32 160 | 99.41 262 | 98.92 287 |
|
test_prior3 | | | 98.62 223 | 98.34 236 | 99.46 169 | 99.35 257 | 99.22 181 | 97.95 313 | 99.39 240 | 97.87 259 | 98.05 323 | 99.05 298 | 97.90 195 | 99.69 305 | 95.99 288 | 99.49 248 | 99.48 183 |
|
test_prior | | | | | 99.46 169 | 99.35 257 | 99.22 181 | | 99.39 240 | | | | | 99.69 305 | | | 99.48 183 |
|
TAPA-MVS | | 97.92 13 | 98.03 267 | 97.55 279 | 99.46 169 | 99.47 230 | 99.44 118 | 98.50 259 | 99.62 145 | 86.79 351 | 99.07 251 | 99.26 265 | 98.26 170 | 99.62 335 | 97.28 229 | 99.73 199 | 99.31 232 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
no-one | | | 99.28 118 | 99.23 118 | 99.45 173 | 99.87 33 | 99.08 202 | 98.95 209 | 99.52 203 | 98.88 176 | 99.77 88 | 99.83 51 | 97.78 205 | 99.90 110 | 98.46 150 | 99.99 20 | 99.38 215 |
|
test_0402 | | | 99.22 138 | 99.14 125 | 99.45 173 | 99.79 83 | 99.43 124 | 99.28 131 | 99.68 117 | 99.54 86 | 99.40 196 | 99.56 200 | 99.07 66 | 99.82 237 | 96.01 286 | 99.96 60 | 99.11 262 |
|
VDD-MVS | | | 99.20 143 | 99.11 134 | 99.44 175 | 99.43 241 | 98.98 209 | 99.50 75 | 98.32 318 | 99.80 31 | 99.56 159 | 99.69 125 | 96.99 247 | 99.85 197 | 98.99 109 | 99.73 199 | 99.50 176 |
|
PVSNet_Blended_VisFu | | | 99.40 91 | 99.38 85 | 99.44 175 | 99.90 26 | 98.66 237 | 98.94 212 | 99.91 11 | 97.97 254 | 99.79 80 | 99.73 99 | 99.05 69 | 99.97 16 | 99.15 93 | 99.99 20 | 99.68 63 |
|
OMC-MVS | | | 98.90 198 | 98.72 203 | 99.44 175 | 99.39 249 | 99.42 128 | 98.58 247 | 99.64 139 | 97.31 289 | 99.44 180 | 99.62 168 | 98.59 133 | 99.69 305 | 96.17 279 | 99.79 172 | 99.22 240 |
|
Fast-Effi-MVS+-dtu | | | 99.20 143 | 99.12 131 | 99.43 178 | 99.25 283 | 99.69 64 | 99.05 190 | 99.82 48 | 99.50 91 | 98.97 258 | 99.05 298 | 98.98 74 | 99.98 7 | 98.20 169 | 99.24 282 | 98.62 300 |
|
MVP-Stereo | | | 99.16 153 | 99.08 145 | 99.43 178 | 99.48 225 | 99.07 204 | 99.08 187 | 99.55 184 | 98.63 205 | 99.31 218 | 99.68 137 | 98.19 177 | 99.78 272 | 98.18 173 | 99.58 231 | 99.45 194 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
pmmvs5 | | | 99.19 146 | 99.11 134 | 99.42 180 | 99.76 104 | 98.88 224 | 98.55 252 | 99.73 93 | 98.82 183 | 99.72 104 | 99.62 168 | 96.56 254 | 99.82 237 | 99.32 69 | 99.95 67 | 99.56 145 |
|
EI-MVSNet-UG-set | | | 99.48 71 | 99.50 68 | 99.42 180 | 99.57 186 | 98.65 239 | 99.24 141 | 99.46 220 | 99.68 57 | 99.80 75 | 99.66 147 | 98.99 73 | 99.89 126 | 99.19 84 | 99.90 103 | 99.72 47 |
|
EI-MVSNet-Vis-set | | | 99.47 77 | 99.49 69 | 99.42 180 | 99.57 186 | 98.66 237 | 99.24 141 | 99.46 220 | 99.67 59 | 99.79 80 | 99.65 152 | 98.97 76 | 99.89 126 | 99.15 93 | 99.89 109 | 99.71 50 |
|
testdata | | | | | 99.42 180 | 99.51 209 | 98.93 218 | | 99.30 261 | 96.20 313 | 98.87 273 | 99.40 234 | 98.33 166 | 99.89 126 | 96.29 275 | 99.28 276 | 99.44 199 |
|
VDDNet | | | 98.97 185 | 98.82 196 | 99.42 180 | 99.71 134 | 98.81 230 | 99.62 57 | 98.68 304 | 99.81 28 | 99.38 204 | 99.80 64 | 94.25 284 | 99.85 197 | 98.79 130 | 99.32 272 | 99.59 136 |
|
FMVSNet5 | | | 97.80 271 | 97.25 282 | 99.42 180 | 98.83 325 | 98.97 211 | 99.38 93 | 99.80 60 | 98.87 177 | 99.25 226 | 99.69 125 | 80.60 359 | 99.91 93 | 98.96 116 | 99.90 103 | 99.38 215 |
|
MVS_111021_LR | | | 99.13 157 | 99.03 162 | 99.42 180 | 99.58 177 | 99.32 157 | 97.91 319 | 99.73 93 | 98.68 201 | 99.31 218 | 99.48 220 | 99.09 61 | 99.66 323 | 97.70 201 | 99.77 181 | 99.29 236 |
|
CMPMVS | | 77.52 23 | 98.50 234 | 98.19 248 | 99.41 187 | 98.33 346 | 99.56 94 | 99.01 197 | 99.59 167 | 95.44 326 | 99.57 152 | 99.80 64 | 95.64 272 | 99.46 350 | 96.47 271 | 99.92 91 | 99.21 243 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
Regformer-3 | | | 99.41 88 | 99.41 81 | 99.40 188 | 99.52 205 | 98.70 234 | 99.17 160 | 99.44 225 | 99.62 72 | 99.75 92 | 99.60 180 | 98.90 84 | 99.85 197 | 98.89 124 | 99.84 136 | 99.65 90 |
|
UnsupCasMVSNet_bld | | | 98.55 231 | 98.27 240 | 99.40 188 | 99.56 197 | 99.37 145 | 97.97 312 | 99.68 117 | 97.49 282 | 99.08 248 | 99.35 249 | 95.41 276 | 99.82 237 | 97.70 201 | 98.19 337 | 99.01 282 |
|
MVS_111021_HR | | | 99.12 159 | 99.02 163 | 99.40 188 | 99.50 214 | 99.11 196 | 97.92 317 | 99.71 105 | 98.76 193 | 99.08 248 | 99.47 223 | 99.17 51 | 99.54 343 | 97.85 193 | 99.76 183 | 99.54 156 |
|
v148 | | | 99.40 91 | 99.41 81 | 99.39 191 | 99.76 104 | 98.94 214 | 99.09 186 | 99.59 167 | 99.17 146 | 99.81 72 | 99.61 177 | 98.41 157 | 99.69 305 | 99.32 69 | 99.94 80 | 99.53 159 |
|
HQP-MVS | | | 98.36 248 | 98.02 256 | 99.39 191 | 99.31 273 | 98.94 214 | 97.98 309 | 99.37 246 | 97.45 283 | 98.15 317 | 98.83 319 | 96.67 252 | 99.70 299 | 94.73 321 | 99.67 216 | 99.53 159 |
|
MVS_0304 | | | 99.17 151 | 99.10 141 | 99.38 193 | 99.08 306 | 98.86 227 | 98.46 266 | 99.73 93 | 99.53 88 | 99.35 208 | 99.30 257 | 97.11 243 | 99.96 33 | 99.33 66 | 99.99 20 | 99.33 227 |
|
TSAR-MVS + GP. | | | 99.12 159 | 99.04 161 | 99.38 193 | 99.34 267 | 99.16 191 | 98.15 288 | 99.29 262 | 98.18 245 | 99.63 134 | 99.62 168 | 99.18 50 | 99.68 313 | 98.20 169 | 99.74 193 | 99.30 233 |
|
AdaColmap | | | 98.60 225 | 98.35 235 | 99.38 193 | 99.12 300 | 99.22 181 | 98.67 242 | 99.42 230 | 97.84 263 | 98.81 277 | 99.27 263 | 97.32 232 | 99.81 256 | 95.14 317 | 99.53 243 | 99.10 266 |
|
ITE_SJBPF | | | | | 99.38 193 | 99.63 163 | 99.44 118 | | 99.73 93 | 98.56 210 | 99.33 214 | 99.53 209 | 98.88 87 | 99.68 313 | 96.01 286 | 99.65 221 | 99.02 281 |
|
原ACMM1 | | | | | 99.37 197 | 99.47 230 | 98.87 226 | | 99.27 266 | 96.74 303 | 98.26 312 | 99.32 252 | 97.93 194 | 99.82 237 | 95.96 291 | 99.38 265 | 99.43 205 |
|
testgi | | | 99.29 117 | 99.26 113 | 99.37 197 | 99.75 112 | 98.81 230 | 98.84 223 | 99.89 15 | 98.38 225 | 99.75 92 | 99.04 301 | 99.36 33 | 99.86 181 | 99.08 103 | 99.25 280 | 99.45 194 |
|
MSDG | | | 99.08 165 | 98.98 174 | 99.37 197 | 99.60 171 | 99.13 194 | 97.54 330 | 99.74 90 | 98.84 182 | 99.53 168 | 99.55 205 | 99.10 59 | 99.79 264 | 97.07 241 | 99.86 129 | 99.18 249 |
|
pmmvs4 | | | 99.13 157 | 99.06 151 | 99.36 200 | 99.57 186 | 99.10 199 | 98.01 304 | 99.25 271 | 98.78 189 | 99.58 150 | 99.44 228 | 98.24 171 | 99.76 280 | 98.74 135 | 99.93 88 | 99.22 240 |
|
N_pmnet | | | 98.73 219 | 98.53 220 | 99.35 201 | 99.72 131 | 98.67 236 | 98.34 275 | 94.65 357 | 98.35 232 | 99.79 80 | 99.68 137 | 98.03 186 | 99.93 66 | 98.28 164 | 99.92 91 | 99.44 199 |
|
Effi-MVS+ | | | 99.06 167 | 98.97 175 | 99.34 202 | 99.31 273 | 98.98 209 | 98.31 278 | 99.91 11 | 98.81 184 | 98.79 280 | 98.94 313 | 99.14 54 | 99.84 213 | 98.79 130 | 98.74 310 | 99.20 244 |
|
Vis-MVSNet (Re-imp) | | | 98.77 215 | 98.58 214 | 99.34 202 | 99.78 89 | 98.88 224 | 99.61 61 | 99.56 181 | 99.11 153 | 99.24 229 | 99.56 200 | 93.00 295 | 99.78 272 | 97.43 220 | 99.89 109 | 99.35 224 |
|
Patchmatch-RL test | | | 98.60 225 | 98.36 234 | 99.33 204 | 99.77 99 | 99.07 204 | 98.27 279 | 99.87 20 | 98.91 174 | 99.74 100 | 99.72 105 | 90.57 317 | 99.79 264 | 98.55 146 | 99.85 132 | 99.11 262 |
|
PAPM_NR | | | 98.36 248 | 98.04 255 | 99.33 204 | 99.48 225 | 98.93 218 | 98.79 233 | 99.28 265 | 97.54 280 | 98.56 300 | 98.57 331 | 97.12 242 | 99.69 305 | 94.09 331 | 98.90 297 | 99.38 215 |
|
PCF-MVS | | 96.03 18 | 96.73 306 | 95.86 318 | 99.33 204 | 99.44 239 | 99.16 191 | 96.87 344 | 99.44 225 | 86.58 352 | 98.95 264 | 99.40 234 | 94.38 283 | 99.88 141 | 87.93 349 | 99.80 169 | 98.95 284 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
CLD-MVS | | | 98.76 216 | 98.57 216 | 99.33 204 | 99.57 186 | 98.97 211 | 97.53 332 | 99.55 184 | 96.41 311 | 99.27 223 | 99.13 282 | 99.07 66 | 99.78 272 | 96.73 258 | 99.89 109 | 99.23 239 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
jason | | | 99.16 153 | 99.11 134 | 99.32 208 | 99.75 112 | 98.44 245 | 98.26 280 | 99.39 240 | 98.70 200 | 99.74 100 | 99.30 257 | 98.54 141 | 99.97 16 | 98.48 149 | 99.82 155 | 99.55 148 |
jason: jason. |
FMVSNet3 | | | 98.80 212 | 98.63 210 | 99.32 208 | 99.13 298 | 98.72 233 | 99.10 182 | 99.48 213 | 99.23 135 | 99.62 141 | 99.64 153 | 92.57 297 | 99.86 181 | 98.96 116 | 99.90 103 | 99.39 212 |
|
MVSFormer | | | 99.41 88 | 99.44 76 | 99.31 210 | 99.57 186 | 98.40 248 | 99.77 14 | 99.80 60 | 99.73 42 | 99.63 134 | 99.30 257 | 98.02 188 | 99.98 7 | 99.43 54 | 99.69 208 | 99.55 148 |
|
DP-MVS Recon | | | 98.50 234 | 98.23 242 | 99.31 210 | 99.49 219 | 99.46 111 | 98.56 251 | 99.63 142 | 94.86 335 | 98.85 275 | 99.37 239 | 97.81 202 | 99.59 340 | 96.08 281 | 99.44 253 | 98.88 289 |
|
PatchMatch-RL | | | 98.68 221 | 98.47 221 | 99.30 212 | 99.44 239 | 99.28 164 | 98.14 290 | 99.54 188 | 97.12 295 | 99.11 246 | 99.25 267 | 97.80 203 | 99.70 299 | 96.51 268 | 99.30 274 | 98.93 286 |
|
CANet | | | 99.11 162 | 99.05 156 | 99.28 213 | 98.83 325 | 98.56 240 | 98.71 241 | 99.41 231 | 99.25 131 | 99.23 230 | 99.22 276 | 97.66 217 | 99.94 55 | 99.19 84 | 99.97 47 | 99.33 227 |
|
CNLPA | | | 98.57 228 | 98.34 236 | 99.28 213 | 99.18 294 | 99.10 199 | 98.34 275 | 99.41 231 | 98.48 217 | 98.52 301 | 98.98 305 | 97.05 245 | 99.78 272 | 95.59 307 | 99.50 246 | 98.96 283 |
|
test_normal | | | 98.82 209 | 98.67 207 | 99.27 215 | 99.56 197 | 98.83 229 | 98.22 283 | 98.01 322 | 99.03 163 | 99.49 176 | 99.24 272 | 96.21 264 | 99.76 280 | 98.69 139 | 99.56 232 | 99.22 240 |
|
DI_MVS_plusplus_test | | | 98.80 212 | 98.65 208 | 99.27 215 | 99.57 186 | 98.90 221 | 98.44 268 | 97.95 325 | 99.02 164 | 99.51 172 | 99.23 275 | 96.18 266 | 99.76 280 | 98.52 148 | 99.42 260 | 99.14 257 |
|
Test4 | | | 98.65 222 | 98.44 223 | 99.27 215 | 99.57 186 | 98.86 227 | 98.43 269 | 99.41 231 | 98.85 179 | 99.57 152 | 98.95 312 | 93.05 293 | 99.75 286 | 98.57 144 | 99.56 232 | 99.19 246 |
|
sss | | | 98.90 198 | 98.77 200 | 99.27 215 | 99.48 225 | 98.44 245 | 98.72 240 | 99.32 254 | 97.94 256 | 99.37 205 | 99.35 249 | 96.31 262 | 99.91 93 | 98.85 126 | 99.63 223 | 99.47 188 |
|
LF4IMVS | | | 99.01 179 | 98.92 181 | 99.27 215 | 99.71 134 | 99.28 164 | 98.59 246 | 99.77 73 | 98.32 238 | 99.39 197 | 99.41 233 | 98.62 129 | 99.84 213 | 96.62 264 | 99.84 136 | 98.69 299 |
|
LFMVS | | | 98.46 239 | 98.19 248 | 99.26 220 | 99.24 285 | 98.52 243 | 99.62 57 | 96.94 341 | 99.87 13 | 99.31 218 | 99.58 188 | 91.04 308 | 99.81 256 | 98.68 141 | 99.42 260 | 99.45 194 |
|
WTY-MVS | | | 98.59 227 | 98.37 233 | 99.26 220 | 99.43 241 | 98.40 248 | 98.74 236 | 99.13 285 | 98.10 247 | 99.21 234 | 99.24 272 | 94.82 279 | 99.90 110 | 97.86 192 | 98.77 306 | 99.49 182 |
|
OpenMVS | | 98.12 10 | 98.23 258 | 97.89 267 | 99.26 220 | 99.19 292 | 99.26 170 | 99.65 55 | 99.69 114 | 91.33 348 | 98.14 321 | 99.77 86 | 98.28 168 | 99.96 33 | 95.41 313 | 99.55 238 | 98.58 304 |
|
alignmvs | | | 98.28 255 | 97.96 260 | 99.25 223 | 99.12 300 | 98.93 218 | 99.03 194 | 98.42 315 | 99.64 68 | 98.72 286 | 97.85 343 | 90.86 313 | 99.62 335 | 98.88 125 | 99.13 286 | 99.19 246 |
|
IterMVS-LS | | | 99.41 88 | 99.47 70 | 99.25 223 | 99.81 62 | 98.09 273 | 98.85 222 | 99.76 79 | 99.62 72 | 99.83 65 | 99.64 153 | 98.54 141 | 99.97 16 | 99.15 93 | 99.99 20 | 99.68 63 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
lupinMVS | | | 98.96 188 | 98.87 187 | 99.24 225 | 99.57 186 | 98.40 248 | 98.12 292 | 99.18 279 | 98.28 240 | 99.63 134 | 99.13 282 | 98.02 188 | 99.97 16 | 98.22 167 | 99.69 208 | 99.35 224 |
|
MVSTER | | | 98.47 238 | 98.22 243 | 99.24 225 | 99.06 308 | 98.35 253 | 99.08 187 | 99.46 220 | 99.27 124 | 99.75 92 | 99.66 147 | 88.61 327 | 99.85 197 | 99.14 99 | 99.92 91 | 99.52 167 |
|
mvs-test1 | | | 98.83 207 | 98.70 204 | 99.22 227 | 98.89 319 | 99.65 76 | 98.88 216 | 99.66 125 | 99.34 117 | 98.29 310 | 98.94 313 | 97.69 210 | 99.96 33 | 98.11 178 | 98.54 326 | 98.04 327 |
|
EI-MVSNet | | | 99.38 96 | 99.44 76 | 99.21 228 | 99.58 177 | 98.09 273 | 99.26 135 | 99.46 220 | 99.62 72 | 99.75 92 | 99.67 143 | 98.54 141 | 99.85 197 | 99.15 93 | 99.92 91 | 99.68 63 |
|
BH-RMVSNet | | | 98.41 244 | 98.14 250 | 99.21 228 | 99.21 288 | 98.47 244 | 98.60 245 | 98.26 319 | 98.35 232 | 98.93 266 | 99.31 254 | 97.20 240 | 99.66 323 | 94.32 327 | 99.10 288 | 99.51 170 |
|
ambc | | | | | 99.20 230 | 99.35 257 | 98.53 242 | 99.17 160 | 99.46 220 | | 99.67 118 | 99.80 64 | 98.46 153 | 99.70 299 | 97.92 188 | 99.70 207 | 99.38 215 |
|
test1235678 | | | 98.93 195 | 98.84 192 | 99.19 231 | 99.46 234 | 98.55 241 | 97.53 332 | 99.77 73 | 98.76 193 | 99.69 112 | 99.48 220 | 96.69 251 | 99.90 110 | 98.30 162 | 99.91 101 | 99.11 262 |
|
MVS_Test | | | 99.28 118 | 99.31 97 | 99.19 231 | 99.35 257 | 98.79 232 | 99.36 99 | 99.49 212 | 99.17 146 | 99.21 234 | 99.67 143 | 98.78 101 | 99.66 323 | 99.09 102 | 99.66 219 | 99.10 266 |
|
MAR-MVS | | | 98.24 256 | 97.92 263 | 99.19 231 | 98.78 332 | 99.65 76 | 99.17 160 | 99.14 283 | 95.36 327 | 98.04 325 | 98.81 321 | 97.47 223 | 99.72 293 | 95.47 311 | 99.06 289 | 98.21 321 |
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 | | | 98.13 262 | 97.77 273 | 99.18 234 | 94.57 359 | 97.99 277 | 99.24 141 | 97.96 323 | 99.74 40 | 97.29 344 | 99.62 168 | 93.13 292 | 99.97 16 | 98.59 143 | 99.83 146 | 99.58 140 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
diffmvs | | | 98.94 194 | 98.87 187 | 99.13 235 | 99.37 254 | 98.90 221 | 99.25 139 | 99.64 139 | 97.55 279 | 99.04 253 | 99.58 188 | 97.23 236 | 99.64 332 | 98.73 136 | 99.44 253 | 98.86 291 |
|
MIMVSNet | | | 98.43 241 | 98.20 245 | 99.11 236 | 99.53 203 | 98.38 251 | 99.58 68 | 98.61 306 | 98.96 167 | 99.33 214 | 99.76 89 | 90.92 310 | 99.81 256 | 97.38 223 | 99.76 183 | 99.15 253 |
|
PMMVS | | | 98.49 236 | 98.29 239 | 99.11 236 | 98.96 312 | 98.42 247 | 97.54 330 | 99.32 254 | 97.53 281 | 98.47 306 | 98.15 340 | 97.88 198 | 99.82 237 | 97.46 218 | 99.24 282 | 99.09 269 |
|
CANet_DTU | | | 98.91 196 | 98.85 190 | 99.09 238 | 98.79 330 | 98.13 268 | 98.18 285 | 99.31 258 | 99.48 93 | 98.86 274 | 99.51 215 | 96.56 254 | 99.95 41 | 99.05 105 | 99.95 67 | 99.19 246 |
|
MS-PatchMatch | | | 99.00 182 | 98.97 175 | 99.09 238 | 99.11 303 | 98.19 265 | 98.76 235 | 99.33 252 | 98.49 216 | 99.44 180 | 99.58 188 | 98.21 174 | 99.69 305 | 98.20 169 | 99.62 224 | 99.39 212 |
|
canonicalmvs | | | 99.02 175 | 99.00 168 | 99.09 238 | 99.10 305 | 98.70 234 | 99.61 61 | 99.66 125 | 99.63 71 | 98.64 293 | 97.65 350 | 99.04 70 | 99.54 343 | 98.79 130 | 98.92 295 | 99.04 279 |
|
PVSNet_BlendedMVS | | | 99.03 173 | 99.01 166 | 99.09 238 | 99.54 200 | 97.99 277 | 98.58 247 | 99.82 48 | 97.62 273 | 99.34 212 | 99.71 112 | 98.52 147 | 99.77 278 | 97.98 186 | 99.97 47 | 99.52 167 |
|
MDA-MVSNet-bldmvs | | | 99.06 167 | 99.05 156 | 99.07 242 | 99.80 70 | 97.83 283 | 98.89 214 | 99.72 102 | 99.29 121 | 99.63 134 | 99.70 119 | 96.47 258 | 99.89 126 | 98.17 175 | 99.82 155 | 99.50 176 |
|
TinyColmap | | | 98.97 185 | 98.93 178 | 99.07 242 | 99.46 234 | 98.19 265 | 97.75 323 | 99.75 85 | 98.79 187 | 99.54 165 | 99.70 119 | 98.97 76 | 99.62 335 | 96.63 263 | 99.83 146 | 99.41 209 |
|
USDC | | | 98.96 188 | 98.93 178 | 99.05 244 | 99.54 200 | 97.99 277 | 97.07 342 | 99.80 60 | 98.21 243 | 99.75 92 | 99.77 86 | 98.43 155 | 99.64 332 | 97.90 189 | 99.88 115 | 99.51 170 |
|
1111 | | | 97.29 283 | 96.71 302 | 99.04 245 | 99.65 159 | 97.72 285 | 98.35 273 | 99.80 60 | 99.40 110 | 99.66 122 | 99.43 229 | 75.10 363 | 99.87 161 | 98.98 111 | 99.98 36 | 99.52 167 |
|
PAPR | | | 97.56 278 | 97.07 284 | 99.04 245 | 98.80 329 | 98.11 271 | 97.63 326 | 99.25 271 | 94.56 339 | 98.02 326 | 98.25 339 | 97.43 225 | 99.68 313 | 90.90 340 | 98.74 310 | 99.33 227 |
|
PVSNet_Blended | | | 98.70 220 | 98.59 212 | 99.02 247 | 99.54 200 | 97.99 277 | 97.58 329 | 99.82 48 | 95.70 323 | 99.34 212 | 98.98 305 | 98.52 147 | 99.77 278 | 97.98 186 | 99.83 146 | 99.30 233 |
|
MVS | | | 95.72 328 | 94.63 331 | 98.99 248 | 98.56 341 | 97.98 282 | 99.30 122 | 98.86 294 | 72.71 356 | 97.30 343 | 99.08 289 | 98.34 164 | 99.74 290 | 89.21 345 | 98.33 332 | 99.26 237 |
|
HY-MVS | | 98.23 9 | 98.21 260 | 97.95 261 | 98.99 248 | 99.03 311 | 98.24 261 | 99.61 61 | 98.72 302 | 96.81 301 | 98.73 285 | 99.51 215 | 94.06 285 | 99.86 181 | 96.91 247 | 98.20 335 | 98.86 291 |
|
DSMNet-mixed | | | 99.48 71 | 99.65 34 | 98.95 250 | 99.71 134 | 97.27 296 | 99.50 75 | 99.82 48 | 99.59 83 | 99.41 192 | 99.85 45 | 99.62 16 | 100.00 1 | 99.53 47 | 99.89 109 | 99.59 136 |
|
mvs_anonymous | | | 99.28 118 | 99.39 83 | 98.94 251 | 99.19 292 | 97.81 284 | 99.02 195 | 99.55 184 | 99.78 34 | 99.85 58 | 99.80 64 | 98.24 171 | 99.86 181 | 99.57 43 | 99.50 246 | 99.15 253 |
|
MG-MVS | | | 98.52 233 | 98.39 230 | 98.94 251 | 99.15 295 | 97.39 295 | 98.18 285 | 99.21 277 | 98.89 175 | 99.23 230 | 99.63 161 | 97.37 230 | 99.74 290 | 94.22 329 | 99.61 228 | 99.69 57 |
|
GA-MVS | | | 97.99 269 | 97.68 276 | 98.93 253 | 99.52 205 | 98.04 276 | 97.19 341 | 99.05 289 | 98.32 238 | 98.81 277 | 98.97 308 | 89.89 324 | 99.41 351 | 98.33 159 | 99.05 290 | 99.34 226 |
|
xiu_mvs_v1_base_debu | | | 99.23 129 | 99.34 93 | 98.91 254 | 99.59 174 | 98.23 262 | 98.47 262 | 99.66 125 | 99.61 76 | 99.68 114 | 98.94 313 | 99.39 24 | 99.97 16 | 99.18 86 | 99.55 238 | 98.51 307 |
|
xiu_mvs_v1_base | | | 99.23 129 | 99.34 93 | 98.91 254 | 99.59 174 | 98.23 262 | 98.47 262 | 99.66 125 | 99.61 76 | 99.68 114 | 98.94 313 | 99.39 24 | 99.97 16 | 99.18 86 | 99.55 238 | 98.51 307 |
|
xiu_mvs_v1_base_debi | | | 99.23 129 | 99.34 93 | 98.91 254 | 99.59 174 | 98.23 262 | 98.47 262 | 99.66 125 | 99.61 76 | 99.68 114 | 98.94 313 | 99.39 24 | 99.97 16 | 99.18 86 | 99.55 238 | 98.51 307 |
|
MSLP-MVS++ | | | 99.05 170 | 99.09 143 | 98.91 254 | 99.21 288 | 98.36 252 | 98.82 228 | 99.47 217 | 98.85 179 | 98.90 271 | 99.56 200 | 98.78 101 | 99.09 353 | 98.57 144 | 99.68 210 | 99.26 237 |
|
pmmvs3 | | | 98.08 265 | 97.80 270 | 98.91 254 | 99.41 245 | 97.69 288 | 97.87 320 | 99.66 125 | 95.87 318 | 99.50 174 | 99.51 215 | 90.35 319 | 99.97 16 | 98.55 146 | 99.47 250 | 99.08 272 |
|
OpenMVS_ROB | | 97.31 17 | 97.36 282 | 96.84 292 | 98.89 259 | 99.29 278 | 99.45 116 | 98.87 218 | 99.48 213 | 86.54 353 | 99.44 180 | 99.74 95 | 97.34 231 | 99.86 181 | 91.61 337 | 99.28 276 | 97.37 344 |
|
MDA-MVSNet_test_wron | | | 98.95 191 | 98.99 171 | 98.85 260 | 99.64 161 | 97.16 298 | 98.23 282 | 99.33 252 | 98.93 171 | 99.56 159 | 99.66 147 | 97.39 228 | 99.83 229 | 98.29 163 | 99.88 115 | 99.55 148 |
|
PMVS | | 92.94 21 | 98.82 209 | 98.81 197 | 98.85 260 | 99.84 43 | 97.99 277 | 99.20 151 | 99.47 217 | 99.71 48 | 99.42 186 | 99.82 59 | 98.09 182 | 99.47 347 | 93.88 333 | 99.85 132 | 99.07 276 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
YYNet1 | | | 98.95 191 | 98.99 171 | 98.84 262 | 99.64 161 | 97.14 299 | 98.22 283 | 99.32 254 | 98.92 173 | 99.59 149 | 99.66 147 | 97.40 226 | 99.83 229 | 98.27 165 | 99.90 103 | 99.55 148 |
|
new_pmnet | | | 98.88 202 | 98.89 185 | 98.84 262 | 99.70 141 | 97.62 290 | 98.15 288 | 99.50 208 | 97.98 253 | 99.62 141 | 99.54 207 | 98.15 180 | 99.94 55 | 97.55 213 | 99.84 136 | 98.95 284 |
|
CR-MVSNet | | | 98.35 251 | 98.20 245 | 98.83 264 | 99.05 309 | 98.12 269 | 99.30 122 | 99.67 121 | 97.39 286 | 99.16 240 | 99.79 71 | 91.87 303 | 99.91 93 | 98.78 133 | 98.77 306 | 98.44 310 |
|
PatchT | | | 98.45 240 | 98.32 238 | 98.83 264 | 98.94 313 | 98.29 260 | 99.24 141 | 98.82 297 | 99.84 23 | 99.08 248 | 99.76 89 | 91.37 306 | 99.94 55 | 98.82 129 | 99.00 294 | 98.26 317 |
|
RPMNet | | | 98.53 232 | 98.44 223 | 98.83 264 | 99.05 309 | 98.12 269 | 99.30 122 | 98.78 299 | 99.86 16 | 99.16 240 | 99.74 95 | 92.53 299 | 99.91 93 | 98.75 134 | 98.77 306 | 98.44 310 |
|
FPMVS | | | 96.32 316 | 95.50 323 | 98.79 267 | 99.60 171 | 98.17 267 | 98.46 266 | 98.80 298 | 97.16 292 | 96.28 349 | 99.63 161 | 82.19 354 | 99.09 353 | 88.45 347 | 98.89 298 | 99.10 266 |
|
xiu_mvs_v2_base | | | 99.02 175 | 99.11 134 | 98.77 268 | 99.37 254 | 98.09 273 | 98.13 291 | 99.51 205 | 99.47 97 | 99.42 186 | 98.54 333 | 99.38 28 | 99.97 16 | 98.83 127 | 99.33 271 | 98.24 319 |
|
PS-MVSNAJ | | | 99.00 182 | 99.08 145 | 98.76 269 | 99.37 254 | 98.10 272 | 98.00 306 | 99.51 205 | 99.47 97 | 99.41 192 | 98.50 335 | 99.28 39 | 99.97 16 | 98.83 127 | 99.34 269 | 98.20 323 |
|
thresconf0.02 | | | 97.25 285 | 96.74 296 | 98.75 270 | 99.73 121 | 98.35 253 | 99.35 100 | 95.78 347 | 96.54 304 | 99.39 197 | 99.08 289 | 86.57 342 | 99.88 141 | 95.69 300 | 98.57 318 | 98.02 328 |
|
tfpn_n400 | | | 97.25 285 | 96.74 296 | 98.75 270 | 99.73 121 | 98.35 253 | 99.35 100 | 95.78 347 | 96.54 304 | 99.39 197 | 99.08 289 | 86.57 342 | 99.88 141 | 95.69 300 | 98.57 318 | 98.02 328 |
|
tfpnconf | | | 97.25 285 | 96.74 296 | 98.75 270 | 99.73 121 | 98.35 253 | 99.35 100 | 95.78 347 | 96.54 304 | 99.39 197 | 99.08 289 | 86.57 342 | 99.88 141 | 95.69 300 | 98.57 318 | 98.02 328 |
|
tfpnview11 | | | 97.25 285 | 96.74 296 | 98.75 270 | 99.73 121 | 98.35 253 | 99.35 100 | 95.78 347 | 96.54 304 | 99.39 197 | 99.08 289 | 86.57 342 | 99.88 141 | 95.69 300 | 98.57 318 | 98.02 328 |
|
test0.0.03 1 | | | 97.37 281 | 96.91 291 | 98.74 274 | 97.72 352 | 97.57 291 | 97.60 328 | 97.36 340 | 98.00 250 | 99.21 234 | 98.02 341 | 90.04 322 | 99.79 264 | 98.37 155 | 95.89 354 | 98.86 291 |
|
EU-MVSNet | | | 99.39 94 | 99.62 38 | 98.72 275 | 99.88 29 | 96.44 307 | 99.56 71 | 99.85 29 | 99.90 6 | 99.90 36 | 99.85 45 | 98.09 182 | 99.83 229 | 99.58 41 | 99.95 67 | 99.90 5 |
|
new-patchmatchnet | | | 99.35 103 | 99.57 49 | 98.71 276 | 99.82 54 | 96.62 305 | 98.55 252 | 99.75 85 | 99.50 91 | 99.88 47 | 99.87 37 | 99.31 35 | 99.88 141 | 99.43 54 | 100.00 1 | 99.62 114 |
|
tfpn1000 | | | 97.28 284 | 96.83 293 | 98.64 277 | 99.67 154 | 97.68 289 | 99.41 84 | 95.47 354 | 97.14 293 | 99.43 184 | 99.07 296 | 85.87 349 | 99.88 141 | 96.78 254 | 98.67 314 | 98.34 314 |
|
BH-untuned | | | 98.22 259 | 98.09 252 | 98.58 278 | 99.38 252 | 97.24 297 | 98.55 252 | 98.98 292 | 97.81 265 | 99.20 239 | 98.76 324 | 97.01 246 | 99.65 330 | 94.83 320 | 98.33 332 | 98.86 291 |
|
test12356 | | | 98.43 241 | 98.39 230 | 98.55 279 | 99.46 234 | 96.36 308 | 97.32 339 | 99.81 56 | 97.60 275 | 99.62 141 | 99.37 239 | 94.57 281 | 99.89 126 | 97.80 196 | 99.92 91 | 99.40 210 |
|
conf0.01 | | | 97.19 290 | 96.74 296 | 98.51 280 | 99.73 121 | 98.35 253 | 99.35 100 | 95.78 347 | 96.54 304 | 99.39 197 | 99.08 289 | 86.57 342 | 99.88 141 | 95.69 300 | 98.57 318 | 97.30 345 |
|
conf0.002 | | | 97.19 290 | 96.74 296 | 98.51 280 | 99.73 121 | 98.35 253 | 99.35 100 | 95.78 347 | 96.54 304 | 99.39 197 | 99.08 289 | 86.57 342 | 99.88 141 | 95.69 300 | 98.57 318 | 97.30 345 |
|
semantic-postprocess | | | | | 98.51 280 | 99.75 112 | 95.90 318 | | 99.84 37 | 99.84 23 | 99.89 39 | 99.73 99 | 95.96 270 | 99.99 4 | 99.33 66 | 100.00 1 | 99.63 100 |
|
JIA-IIPM | | | 98.06 266 | 97.92 263 | 98.50 283 | 98.59 340 | 97.02 300 | 98.80 230 | 98.51 310 | 99.88 12 | 97.89 330 | 99.87 37 | 91.89 302 | 99.90 110 | 98.16 176 | 97.68 347 | 98.59 302 |
|
Patchmatch-test | | | 98.10 264 | 97.98 259 | 98.48 284 | 99.27 282 | 96.48 306 | 99.40 86 | 99.07 286 | 98.81 184 | 99.23 230 | 99.57 195 | 90.11 321 | 99.87 161 | 96.69 259 | 99.64 222 | 99.09 269 |
|
tfpn_ndepth | | | 96.93 299 | 96.43 307 | 98.42 285 | 99.60 171 | 97.72 285 | 99.22 147 | 95.16 355 | 95.91 317 | 99.26 225 | 98.79 322 | 85.56 350 | 99.87 161 | 96.03 285 | 98.35 331 | 97.68 340 |
|
IterMVS | | | 98.97 185 | 99.16 122 | 98.42 285 | 99.74 118 | 95.64 325 | 98.06 301 | 99.83 40 | 99.83 26 | 99.85 58 | 99.74 95 | 96.10 268 | 99.99 4 | 99.27 78 | 100.00 1 | 99.63 100 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CHOSEN 280x420 | | | 98.41 244 | 98.41 228 | 98.40 287 | 99.34 267 | 95.89 319 | 96.94 343 | 99.44 225 | 98.80 186 | 99.25 226 | 99.52 211 | 93.51 289 | 99.98 7 | 98.94 121 | 99.98 36 | 99.32 231 |
|
testus | | | 98.15 261 | 98.06 254 | 98.40 287 | 99.11 303 | 95.95 314 | 96.77 345 | 99.89 15 | 95.83 319 | 99.23 230 | 98.47 336 | 97.50 222 | 99.84 213 | 96.58 265 | 99.20 285 | 99.39 212 |
|
API-MVS | | | 98.38 247 | 98.39 230 | 98.35 289 | 98.83 325 | 99.26 170 | 99.14 173 | 99.18 279 | 98.59 208 | 98.66 292 | 98.78 323 | 98.61 131 | 99.57 342 | 94.14 330 | 99.56 232 | 96.21 352 |
|
PVSNet | | 97.47 15 | 98.42 243 | 98.44 223 | 98.35 289 | 99.46 234 | 96.26 309 | 96.70 347 | 99.34 251 | 97.68 271 | 99.00 256 | 99.13 282 | 97.40 226 | 99.72 293 | 97.59 212 | 99.68 210 | 99.08 272 |
|
TR-MVS | | | 97.44 279 | 97.15 283 | 98.32 291 | 98.53 342 | 97.46 293 | 98.47 262 | 97.91 326 | 96.85 299 | 98.21 316 | 98.51 334 | 96.42 260 | 99.51 345 | 92.16 336 | 97.29 348 | 97.98 332 |
|
PAPM | | | 95.61 329 | 94.71 330 | 98.31 292 | 99.12 300 | 96.63 304 | 96.66 348 | 98.46 313 | 90.77 349 | 96.25 350 | 98.68 328 | 93.01 294 | 99.69 305 | 81.60 356 | 97.86 345 | 98.62 300 |
|
MVE | | 92.54 22 | 96.66 308 | 96.11 312 | 98.31 292 | 99.68 150 | 97.55 292 | 97.94 315 | 95.60 353 | 99.37 114 | 90.68 357 | 98.70 327 | 96.56 254 | 98.61 357 | 86.94 355 | 99.55 238 | 98.77 297 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
1314 | | | 98.00 268 | 97.90 266 | 98.27 294 | 98.90 315 | 97.45 294 | 99.30 122 | 99.06 288 | 94.98 332 | 97.21 345 | 99.12 286 | 98.43 155 | 99.67 318 | 95.58 308 | 98.56 325 | 97.71 339 |
|
ppachtmachnet_test | | | 98.89 201 | 99.12 131 | 98.20 295 | 99.66 155 | 95.24 331 | 97.63 326 | 99.68 117 | 99.08 158 | 99.78 83 | 99.62 168 | 98.65 124 | 99.88 141 | 98.02 182 | 99.96 60 | 99.48 183 |
|
test2356 | | | 95.99 324 | 95.26 327 | 98.18 296 | 96.93 357 | 95.53 327 | 95.31 352 | 98.71 303 | 95.67 324 | 98.48 305 | 97.83 344 | 80.72 357 | 99.88 141 | 95.47 311 | 98.21 334 | 99.11 262 |
|
SD-MVS | | | 99.01 179 | 99.30 102 | 98.15 297 | 99.50 214 | 99.40 133 | 98.94 212 | 99.61 149 | 99.22 138 | 99.75 92 | 99.82 59 | 99.54 22 | 95.51 359 | 97.48 217 | 99.87 122 | 99.54 156 |
|
our_test_3 | | | 98.85 206 | 99.09 143 | 98.13 298 | 99.66 155 | 94.90 334 | 97.72 324 | 99.58 175 | 99.07 160 | 99.64 130 | 99.62 168 | 98.19 177 | 99.93 66 | 98.41 152 | 99.95 67 | 99.55 148 |
|
ADS-MVSNet2 | | | 97.78 272 | 97.66 278 | 98.12 299 | 99.14 296 | 95.36 328 | 99.22 147 | 98.75 300 | 96.97 297 | 98.25 313 | 99.64 153 | 90.90 311 | 99.94 55 | 96.51 268 | 99.56 232 | 99.08 272 |
|
LP | | | 98.34 253 | 98.44 223 | 98.05 300 | 98.88 322 | 95.31 330 | 99.28 131 | 98.74 301 | 99.12 152 | 98.98 257 | 99.79 71 | 93.40 290 | 99.93 66 | 98.38 154 | 99.41 262 | 98.90 288 |
|
DeepMVS_CX | | | | | 97.98 301 | 99.69 143 | 96.95 301 | | 99.26 268 | 75.51 355 | 95.74 354 | 98.28 338 | 96.47 258 | 99.62 335 | 91.23 339 | 97.89 344 | 97.38 343 |
|
gg-mvs-nofinetune | | | 95.87 325 | 95.17 328 | 97.97 302 | 98.19 348 | 96.95 301 | 99.69 39 | 89.23 361 | 99.89 10 | 96.24 351 | 99.94 13 | 81.19 355 | 99.51 345 | 93.99 332 | 98.20 335 | 97.44 342 |
|
thres600view7 | | | 96.60 309 | 96.16 310 | 97.93 303 | 99.63 163 | 96.09 313 | 99.18 153 | 97.57 333 | 98.77 190 | 98.72 286 | 97.32 354 | 87.04 333 | 99.72 293 | 88.57 346 | 98.62 316 | 97.98 332 |
|
thres400 | | | 96.40 313 | 95.89 316 | 97.92 304 | 99.58 177 | 96.11 311 | 99.00 199 | 97.54 338 | 98.43 219 | 98.52 301 | 96.98 360 | 86.85 337 | 99.67 318 | 87.62 350 | 98.51 327 | 97.98 332 |
|
view600 | | | 96.86 300 | 96.52 303 | 97.88 305 | 99.69 143 | 95.87 320 | 99.39 87 | 97.68 329 | 99.11 153 | 98.96 260 | 97.82 345 | 87.40 328 | 99.79 264 | 89.78 341 | 98.83 299 | 97.98 332 |
|
view800 | | | 96.86 300 | 96.52 303 | 97.88 305 | 99.69 143 | 95.87 320 | 99.39 87 | 97.68 329 | 99.11 153 | 98.96 260 | 97.82 345 | 87.40 328 | 99.79 264 | 89.78 341 | 98.83 299 | 97.98 332 |
|
conf0.05thres1000 | | | 96.86 300 | 96.52 303 | 97.88 305 | 99.69 143 | 95.87 320 | 99.39 87 | 97.68 329 | 99.11 153 | 98.96 260 | 97.82 345 | 87.40 328 | 99.79 264 | 89.78 341 | 98.83 299 | 97.98 332 |
|
tfpn | | | 96.86 300 | 96.52 303 | 97.88 305 | 99.69 143 | 95.87 320 | 99.39 87 | 97.68 329 | 99.11 153 | 98.96 260 | 97.82 345 | 87.40 328 | 99.79 264 | 89.78 341 | 98.83 299 | 97.98 332 |
|
ADS-MVSNet | | | 97.72 274 | 97.67 277 | 97.86 309 | 99.14 296 | 94.65 335 | 99.22 147 | 98.86 294 | 96.97 297 | 98.25 313 | 99.64 153 | 90.90 311 | 99.84 213 | 96.51 268 | 99.56 232 | 99.08 272 |
|
IB-MVS | | 95.41 20 | 95.30 330 | 94.46 332 | 97.84 310 | 98.76 334 | 95.33 329 | 97.33 338 | 96.07 345 | 96.02 315 | 95.37 355 | 97.41 353 | 76.17 362 | 99.96 33 | 97.54 214 | 95.44 355 | 98.22 320 |
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 | | | 98.61 224 | 98.88 186 | 97.80 311 | 99.58 177 | 93.60 339 | 99.26 135 | 99.64 139 | 99.66 63 | 99.72 104 | 99.67 143 | 93.26 291 | 99.93 66 | 99.30 72 | 99.81 164 | 99.87 10 |
|
BH-w/o | | | 97.20 289 | 97.01 287 | 97.76 312 | 99.08 306 | 95.69 324 | 98.03 303 | 98.52 309 | 95.76 322 | 97.96 327 | 98.02 341 | 95.62 273 | 99.47 347 | 92.82 335 | 97.25 349 | 98.12 325 |
|
tpm | | | 97.15 292 | 96.95 289 | 97.75 313 | 98.91 314 | 94.24 337 | 99.32 112 | 97.96 323 | 97.71 268 | 98.29 310 | 99.32 252 | 86.72 340 | 99.92 84 | 98.10 180 | 96.24 353 | 99.09 269 |
|
test-LLR | | | 97.15 292 | 96.95 289 | 97.74 314 | 98.18 349 | 95.02 332 | 97.38 335 | 96.10 343 | 98.00 250 | 97.81 334 | 98.58 329 | 90.04 322 | 99.91 93 | 97.69 206 | 98.78 304 | 98.31 315 |
|
test-mter | | | 96.23 319 | 95.73 321 | 97.74 314 | 98.18 349 | 95.02 332 | 97.38 335 | 96.10 343 | 97.90 257 | 97.81 334 | 98.58 329 | 79.12 361 | 99.91 93 | 97.69 206 | 98.78 304 | 98.31 315 |
|
tfpn111 | | | 96.50 311 | 96.12 311 | 97.65 316 | 99.63 163 | 95.93 315 | 99.18 153 | 97.57 333 | 98.75 195 | 98.70 288 | 97.31 355 | 87.04 333 | 99.72 293 | 88.27 348 | 98.61 317 | 97.30 345 |
|
conf200view11 | | | 96.43 312 | 96.03 314 | 97.63 317 | 99.63 163 | 95.93 315 | 99.18 153 | 97.57 333 | 98.75 195 | 98.70 288 | 97.31 355 | 87.04 333 | 99.67 318 | 87.62 350 | 98.51 327 | 97.30 345 |
|
tfpn200view9 | | | 96.30 317 | 95.89 316 | 97.53 318 | 99.58 177 | 96.11 311 | 99.00 199 | 97.54 338 | 98.43 219 | 98.52 301 | 96.98 360 | 86.85 337 | 99.67 318 | 87.62 350 | 98.51 327 | 96.81 350 |
|
cascas | | | 96.99 296 | 96.82 294 | 97.48 319 | 97.57 355 | 95.64 325 | 96.43 349 | 99.56 181 | 91.75 346 | 97.13 346 | 97.61 351 | 95.58 274 | 98.63 356 | 96.68 260 | 99.11 287 | 98.18 324 |
|
thres100view900 | | | 96.39 314 | 96.03 314 | 97.47 320 | 99.63 163 | 95.93 315 | 99.18 153 | 97.57 333 | 98.75 195 | 98.70 288 | 97.31 355 | 87.04 333 | 99.67 318 | 87.62 350 | 98.51 327 | 96.81 350 |
|
PVSNet_0 | | 95.53 19 | 95.85 326 | 95.31 325 | 97.47 320 | 98.78 332 | 93.48 340 | 95.72 350 | 99.40 237 | 96.18 314 | 97.37 342 | 97.73 349 | 95.73 271 | 99.58 341 | 95.49 309 | 81.40 356 | 99.36 222 |
|
TESTMET0.1,1 | | | 96.24 318 | 95.84 319 | 97.41 322 | 98.24 347 | 93.84 338 | 97.38 335 | 95.84 346 | 98.43 219 | 97.81 334 | 98.56 332 | 79.77 360 | 99.89 126 | 97.77 197 | 98.77 306 | 98.52 306 |
|
GG-mvs-BLEND | | | | | 97.36 323 | 97.59 353 | 96.87 303 | 99.70 30 | 88.49 362 | | 94.64 356 | 97.26 358 | 80.66 358 | 99.12 352 | 91.50 338 | 96.50 352 | 96.08 354 |
|
thres200 | | | 96.09 321 | 95.68 322 | 97.33 324 | 99.48 225 | 96.22 310 | 98.53 256 | 97.57 333 | 98.06 249 | 98.37 309 | 96.73 362 | 86.84 339 | 99.61 339 | 86.99 354 | 98.57 318 | 96.16 353 |
|
Patchmatch-test1 | | | 98.13 262 | 98.40 229 | 97.31 325 | 99.20 291 | 92.99 341 | 98.17 287 | 98.49 312 | 98.24 242 | 99.10 247 | 99.52 211 | 96.01 269 | 99.83 229 | 97.22 233 | 99.62 224 | 99.12 261 |
|
PatchmatchNet | | | 97.65 275 | 97.80 270 | 97.18 326 | 98.82 328 | 92.49 343 | 99.17 160 | 98.39 316 | 98.12 246 | 98.79 280 | 99.58 188 | 90.71 315 | 99.89 126 | 97.23 232 | 99.41 262 | 99.16 252 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
EPMVS | | | 96.53 310 | 96.32 308 | 97.17 327 | 98.18 349 | 92.97 342 | 99.39 87 | 89.95 360 | 98.21 243 | 98.61 295 | 99.59 186 | 86.69 341 | 99.72 293 | 96.99 244 | 99.23 284 | 98.81 295 |
|
EPNet_dtu | | | 97.62 276 | 97.79 272 | 97.11 328 | 96.67 358 | 92.31 344 | 98.51 258 | 98.04 320 | 99.24 133 | 95.77 353 | 99.47 223 | 93.78 287 | 99.66 323 | 98.98 111 | 99.62 224 | 99.37 219 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
tmp_tt | | | 95.75 327 | 95.42 324 | 96.76 329 | 89.90 360 | 94.42 336 | 98.86 219 | 97.87 327 | 78.01 354 | 99.30 222 | 99.69 125 | 97.70 208 | 95.89 358 | 99.29 75 | 98.14 339 | 99.95 1 |
|
MVS-HIRNet | | | 97.86 270 | 98.22 243 | 96.76 329 | 99.28 280 | 91.53 351 | 98.38 272 | 92.60 358 | 99.13 151 | 99.31 218 | 99.96 11 | 97.18 241 | 99.68 313 | 98.34 158 | 99.83 146 | 99.07 276 |
|
tpm2 | | | 96.35 315 | 96.22 309 | 96.73 331 | 98.88 322 | 91.75 349 | 99.21 150 | 98.51 310 | 93.27 344 | 97.89 330 | 99.21 277 | 84.83 351 | 99.70 299 | 96.04 284 | 98.18 338 | 98.75 298 |
|
tpmrst | | | 97.73 273 | 98.07 253 | 96.73 331 | 98.71 337 | 92.00 345 | 99.10 182 | 98.86 294 | 98.52 213 | 98.92 268 | 99.54 207 | 91.90 301 | 99.82 237 | 98.02 182 | 99.03 292 | 98.37 312 |
|
DWT-MVSNet_test | | | 96.03 323 | 95.80 320 | 96.71 333 | 98.50 343 | 91.93 346 | 99.25 139 | 97.87 327 | 95.99 316 | 96.81 347 | 97.61 351 | 81.02 356 | 99.66 323 | 97.20 236 | 97.98 343 | 98.54 305 |
|
PatchFormer-LS_test | | | 96.95 298 | 97.07 284 | 96.62 334 | 98.76 334 | 91.85 347 | 99.18 153 | 98.45 314 | 97.29 290 | 97.73 340 | 97.22 359 | 88.77 326 | 99.76 280 | 98.13 177 | 98.04 341 | 98.25 318 |
|
tpmvs | | | 97.39 280 | 97.69 275 | 96.52 335 | 98.41 344 | 91.76 348 | 99.30 122 | 98.94 293 | 97.74 266 | 97.85 333 | 99.55 205 | 92.40 300 | 99.73 292 | 96.25 277 | 98.73 312 | 98.06 326 |
|
CostFormer | | | 96.71 307 | 96.79 295 | 96.46 336 | 98.90 315 | 90.71 355 | 99.41 84 | 98.68 304 | 94.69 338 | 98.14 321 | 99.34 251 | 86.32 348 | 99.80 261 | 97.60 211 | 98.07 340 | 98.88 289 |
|
E-PMN | | | 97.14 294 | 97.43 280 | 96.27 337 | 98.79 330 | 91.62 350 | 95.54 351 | 99.01 291 | 99.44 102 | 98.88 272 | 99.12 286 | 92.78 296 | 99.68 313 | 94.30 328 | 99.03 292 | 97.50 341 |
|
tpmp4_e23 | | | 96.11 320 | 96.06 313 | 96.27 337 | 98.90 315 | 90.70 356 | 99.34 107 | 99.03 290 | 93.72 342 | 96.56 348 | 99.31 254 | 83.63 352 | 99.75 286 | 96.06 283 | 98.02 342 | 98.35 313 |
|
dp | | | 96.86 300 | 97.07 284 | 96.24 339 | 98.68 339 | 90.30 358 | 99.19 152 | 98.38 317 | 97.35 288 | 98.23 315 | 99.59 186 | 87.23 332 | 99.82 237 | 96.27 276 | 98.73 312 | 98.59 302 |
|
tpm cat1 | | | 96.78 305 | 96.98 288 | 96.16 340 | 98.85 324 | 90.59 357 | 99.08 187 | 99.32 254 | 92.37 345 | 97.73 340 | 99.46 226 | 91.15 307 | 99.69 305 | 96.07 282 | 98.80 303 | 98.21 321 |
|
EMVS | | | 96.96 297 | 97.28 281 | 95.99 341 | 98.76 334 | 91.03 353 | 95.26 353 | 98.61 306 | 99.34 117 | 98.92 268 | 98.88 318 | 93.79 286 | 99.66 323 | 92.87 334 | 99.05 290 | 97.30 345 |
|
PNet_i23d | | | 97.02 295 | 97.87 268 | 94.49 342 | 99.69 143 | 84.81 361 | 95.18 354 | 99.85 29 | 97.83 264 | 99.32 216 | 99.57 195 | 95.53 275 | 99.47 347 | 96.09 280 | 97.74 346 | 99.18 249 |
|
wuyk23d | | | 97.58 277 | 99.13 128 | 92.93 343 | 99.69 143 | 99.49 103 | 99.52 73 | 99.77 73 | 97.97 254 | 99.96 8 | 99.79 71 | 99.84 4 | 99.94 55 | 95.85 294 | 99.82 155 | 79.36 356 |
|
testpf | | | 94.48 331 | 95.31 325 | 91.99 344 | 97.22 356 | 89.64 359 | 98.86 219 | 96.52 342 | 94.36 340 | 96.09 352 | 98.76 324 | 82.21 353 | 98.73 355 | 97.05 242 | 96.74 350 | 87.60 355 |
|
.test1245 | | | 85.84 332 | 89.27 333 | 75.54 345 | 99.65 159 | 97.72 285 | 98.35 273 | 99.80 60 | 99.40 110 | 99.66 122 | 99.43 229 | 75.10 363 | 99.87 161 | 98.98 111 | 33.07 357 | 29.03 358 |
|
pcd1.5k->3k | | | 49.97 333 | 55.52 334 | 33.31 346 | 99.95 13 | 0.00 364 | 0.00 355 | 99.81 56 | 0.00 359 | 0.00 360 | 100.00 1 | 99.96 1 | 0.00 362 | 0.00 359 | 100.00 1 | 99.92 3 |
|
test123 | | | 29.31 334 | 33.05 337 | 18.08 347 | 25.93 362 | 12.24 362 | 97.53 332 | 10.93 364 | 11.78 357 | 24.21 358 | 50.08 367 | 21.04 365 | 8.60 360 | 23.51 357 | 32.43 359 | 33.39 357 |
|
testmvs | | | 28.94 335 | 33.33 335 | 15.79 348 | 26.03 361 | 9.81 363 | 96.77 345 | 15.67 363 | 11.55 358 | 23.87 359 | 50.74 366 | 19.03 366 | 8.53 361 | 23.21 358 | 33.07 357 | 29.03 358 |
|
cdsmvs_eth3d_5k | | | 24.88 336 | 33.17 336 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 99.62 145 | 0.00 359 | 0.00 360 | 99.13 282 | 99.82 6 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
pcd_1.5k_mvsjas | | | 16.61 337 | 22.14 338 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 0.00 365 | 0.00 359 | 0.00 360 | 100.00 1 | 99.28 39 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
sosnet-low-res | | | 8.33 338 | 11.11 339 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 0.00 365 | 0.00 359 | 0.00 360 | 100.00 1 | 0.00 367 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
sosnet | | | 8.33 338 | 11.11 339 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 0.00 365 | 0.00 359 | 0.00 360 | 100.00 1 | 0.00 367 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
uncertanet | | | 8.33 338 | 11.11 339 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 0.00 365 | 0.00 359 | 0.00 360 | 100.00 1 | 0.00 367 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
Regformer | | | 8.33 338 | 11.11 339 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 0.00 365 | 0.00 359 | 0.00 360 | 100.00 1 | 0.00 367 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
ab-mvs-re | | | 8.26 343 | 11.02 344 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 0.00 365 | 0.00 359 | 0.00 360 | 99.16 280 | 0.00 367 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
uanet | | | 8.33 338 | 11.11 339 | 0.00 349 | 0.00 363 | 0.00 364 | 0.00 355 | 0.00 365 | 0.00 359 | 0.00 360 | 100.00 1 | 0.00 367 | 0.00 362 | 0.00 359 | 0.00 360 | 0.00 360 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.14 257 |
|
test_part3 | | | | | | | | 98.74 236 | | 97.71 268 | | 99.57 195 | | 99.90 110 | 94.47 325 | | |
|
test_part2 | | | | | | 99.62 168 | 99.67 69 | | | | 99.55 162 | | | | | | |
|
test_part1 | | | | | | | | | 99.53 193 | | | | 98.40 159 | | | 99.68 210 | 99.66 80 |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 314 | | | | 99.14 257 |
|
sam_mvs | | | | | | | | | | | | | 90.52 318 | | | | |
|
MTGPA | | | | | | | | | 99.53 193 | | | | | | | | |
|
test_post1 | | | | | | | | 99.14 173 | | | | 51.63 365 | 89.54 325 | 99.82 237 | 96.86 250 | | |
|
test_post | | | | | | | | | | | | 52.41 364 | 90.25 320 | 99.86 181 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 99.62 168 | 90.58 316 | 99.94 55 | | | |
|
MTMP | | | | | | | | | 98.59 308 | | | | | | | | |
|
gm-plane-assit | | | | | | 97.59 353 | 89.02 360 | | | 93.47 343 | | 98.30 337 | | 99.84 213 | 96.38 272 | | |
|
test9_res | | | | | | | | | | | | | | | 95.10 318 | 99.44 253 | 99.50 176 |
|
TEST9 | | | | | | 99.35 257 | 99.35 152 | 98.11 294 | 99.41 231 | 94.83 337 | 97.92 328 | 98.99 302 | 98.02 188 | 99.85 197 | | | |
|
test_8 | | | | | | 99.34 267 | 99.31 158 | 98.08 299 | 99.40 237 | 94.90 333 | 97.87 332 | 98.97 308 | 98.02 188 | 99.84 213 | | | |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 324 | 99.46 252 | 99.50 176 |
|
agg_prior | | | | | | 99.35 257 | 99.36 148 | | 99.39 240 | | 97.76 338 | | | 99.85 197 | | | |
|
test_prior4 | | | | | | | 99.19 189 | 98.00 306 | | | | | | | | | |
|
test_prior2 | | | | | | | | 97.95 313 | | 97.87 259 | 98.05 323 | 99.05 298 | 97.90 195 | | 95.99 288 | 99.49 248 | |
|
旧先验2 | | | | | | | | 97.94 315 | | 95.33 328 | 98.94 265 | | | 99.88 141 | 96.75 256 | | |
|
新几何2 | | | | | | | | 98.04 302 | | | | | | | | | |
|
旧先验1 | | | | | | 99.49 219 | 99.29 162 | | 99.26 268 | | | 99.39 237 | 97.67 213 | | | 99.36 268 | 99.46 192 |
|
无先验 | | | | | | | | 98.01 304 | 99.23 275 | 95.83 319 | | | | 99.85 197 | 95.79 297 | | 99.44 199 |
|
原ACMM2 | | | | | | | | 97.92 317 | | | | | | | | | |
|
test222 | | | | | | 99.51 209 | 99.08 202 | 97.83 322 | 99.29 262 | 95.21 330 | 98.68 291 | 99.31 254 | 97.28 233 | | | 99.38 265 | 99.43 205 |
|
testdata2 | | | | | | | | | | | | | | 99.89 126 | 95.99 288 | | |
|
segment_acmp | | | | | | | | | | | | | 98.37 162 | | | | |
|
testdata1 | | | | | | | | 97.72 324 | | 97.86 262 | | | | | | | |
|
plane_prior7 | | | | | | 99.58 177 | 99.38 142 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.47 230 | 99.26 170 | | | | | | 97.24 234 | | | | |
|
plane_prior5 | | | | | | | | | 99.54 188 | | | | | 99.82 237 | 95.84 295 | 99.78 177 | 99.60 125 |
|
plane_prior4 | | | | | | | | | | | | 99.25 267 | | | | | |
|
plane_prior3 | | | | | | | 99.31 158 | | | 98.36 227 | 99.14 243 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 230 | | 98.94 169 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 209 | | | | | | | | | | | |
|
plane_prior | | | | | | | 99.24 177 | 98.42 270 | | 97.87 259 | | | | | | 99.71 205 | |
|
n2 | | | | | | | | | 0.00 365 | | | | | | | | |
|
nn | | | | | | | | | 0.00 365 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 40 | | | | | | | | |
|
test11 | | | | | | | | | 99.29 262 | | | | | | | | |
|
door | | | | | | | | | 99.77 73 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 214 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 273 | | 97.98 309 | | 97.45 283 | 98.15 317 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 273 | | 97.98 309 | | 97.45 283 | 98.15 317 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 321 | | |
|
HQP4-MVS | | | | | | | | | | | 98.15 317 | | | 99.70 299 | | | 99.53 159 |
|
HQP3-MVS | | | | | | | | | 99.37 246 | | | | | | | 99.67 216 | |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 252 | | | | |
|
NP-MVS | | | | | | 99.40 248 | 99.13 194 | | | | | 98.83 319 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 352 | 99.14 173 | | 97.37 287 | 99.21 234 | | 91.78 305 | | 96.75 256 | | 99.03 280 |
|
MDTV_nov1_ep13 | | | | 97.73 274 | | 98.70 338 | 90.83 354 | 99.15 168 | 98.02 321 | 98.51 214 | 98.82 276 | 99.61 177 | 90.98 309 | 99.66 323 | 96.89 249 | 98.92 295 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 80 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 172 | |
|
Test By Simon | | | | | | | | | | | | | 98.41 157 | | | | |
|