DeepPCF-MVS | | 80.84 1 | 88.10 10 | 88.56 10 | 86.73 52 | 92.24 68 | 69.03 99 | 89.57 81 | 93.39 30 | 77.53 42 | 89.79 13 | 94.12 37 | 78.98 8 | 96.58 31 | 85.66 23 | 95.72 24 | 94.58 18 |
|
DeepC-MVS | | 79.81 2 | 87.08 35 | 86.88 36 | 87.69 32 | 91.16 81 | 72.32 44 | 90.31 62 | 93.94 15 | 77.12 51 | 82.82 81 | 94.23 33 | 72.13 47 | 97.09 10 | 84.83 32 | 95.37 30 | 93.65 61 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
DeepC-MVS_fast | | 79.65 3 | 86.91 36 | 86.62 39 | 87.76 25 | 93.52 44 | 72.37 41 | 91.26 41 | 93.04 38 | 76.62 66 | 84.22 62 | 93.36 53 | 71.44 52 | 96.76 20 | 80.82 70 | 95.33 33 | 94.16 32 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
3Dnovator+ | | 77.84 4 | 85.48 54 | 84.47 67 | 88.51 4 | 91.08 82 | 73.49 15 | 93.18 8 | 93.78 18 | 80.79 10 | 76.66 168 | 93.37 52 | 60.40 174 | 96.75 21 | 77.20 100 | 93.73 61 | 95.29 2 |
|
3Dnovator | | 76.31 5 | 83.38 79 | 82.31 87 | 86.59 56 | 87.94 169 | 72.94 27 | 90.64 51 | 92.14 78 | 77.21 48 | 75.47 192 | 92.83 65 | 58.56 181 | 94.72 97 | 73.24 136 | 92.71 68 | 92.13 113 |
|
ACMP | | 74.13 6 | 81.51 107 | 80.57 108 | 84.36 104 | 89.42 115 | 68.69 114 | 89.97 71 | 91.50 107 | 74.46 107 | 75.04 210 | 90.41 110 | 53.82 216 | 94.54 99 | 77.56 96 | 82.91 178 | 89.86 190 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
PCF-MVS | | 73.52 7 | 80.38 132 | 78.84 143 | 85.01 83 | 87.71 177 | 68.99 102 | 83.65 238 | 91.46 108 | 63.00 266 | 77.77 146 | 90.28 111 | 66.10 98 | 95.09 82 | 61.40 233 | 88.22 117 | 90.94 143 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
ACMM | | 73.20 8 | 80.78 124 | 79.84 121 | 83.58 128 | 89.31 124 | 68.37 119 | 89.99 70 | 91.60 101 | 70.28 175 | 77.25 155 | 89.66 124 | 53.37 219 | 93.53 146 | 74.24 124 | 82.85 179 | 88.85 221 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
TAPA-MVS | | 73.13 9 | 79.15 157 | 77.94 162 | 82.79 165 | 89.59 109 | 62.99 220 | 88.16 129 | 91.51 104 | 65.77 238 | 77.14 160 | 91.09 96 | 60.91 164 | 93.21 155 | 50.26 297 | 87.05 130 | 92.17 112 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
OpenMVS | | 72.83 10 | 79.77 143 | 78.33 155 | 84.09 114 | 85.17 220 | 69.91 84 | 90.57 53 | 90.97 121 | 66.70 225 | 72.17 238 | 91.91 75 | 54.70 208 | 93.96 120 | 61.81 230 | 90.95 84 | 88.41 234 |
|
PLC | | 70.83 11 | 78.05 185 | 76.37 201 | 83.08 148 | 91.88 75 | 67.80 130 | 88.19 127 | 89.46 161 | 64.33 256 | 69.87 263 | 88.38 160 | 53.66 217 | 93.58 141 | 58.86 254 | 82.73 181 | 87.86 241 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
HY-MVS | | 69.67 12 | 77.95 188 | 77.15 182 | 80.36 214 | 87.57 184 | 60.21 252 | 83.37 245 | 87.78 209 | 66.11 233 | 75.37 198 | 87.06 196 | 63.27 122 | 90.48 237 | 61.38 234 | 82.43 185 | 90.40 163 |
|
LTVRE_ROB | | 69.57 13 | 76.25 217 | 74.54 221 | 81.41 190 | 88.60 149 | 64.38 189 | 79.24 282 | 89.12 175 | 70.76 167 | 69.79 265 | 87.86 172 | 49.09 266 | 93.20 157 | 56.21 275 | 80.16 210 | 86.65 269 |
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 |
ACMH+ | | 68.96 14 | 76.01 220 | 74.01 226 | 82.03 178 | 88.60 149 | 65.31 172 | 88.86 98 | 87.55 212 | 70.25 176 | 67.75 277 | 87.47 182 | 41.27 309 | 93.19 158 | 58.37 259 | 75.94 256 | 87.60 246 |
|
IB-MVS | | 68.01 15 | 75.85 222 | 73.36 233 | 83.31 136 | 84.76 227 | 66.03 155 | 83.38 244 | 85.06 241 | 70.21 177 | 69.40 267 | 81.05 289 | 45.76 286 | 94.66 98 | 65.10 204 | 75.49 262 | 89.25 205 |
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 |
ACMH | | 67.68 16 | 75.89 221 | 73.93 227 | 81.77 183 | 88.71 147 | 66.61 148 | 88.62 109 | 89.01 178 | 69.81 182 | 66.78 289 | 86.70 206 | 41.95 308 | 91.51 214 | 55.64 276 | 78.14 230 | 87.17 257 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
COLMAP_ROB | | 66.92 17 | 73.01 250 | 70.41 259 | 80.81 207 | 87.13 194 | 65.63 164 | 88.30 122 | 84.19 251 | 62.96 267 | 63.80 309 | 87.69 175 | 38.04 322 | 92.56 180 | 46.66 314 | 74.91 274 | 84.24 298 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
PVSNet | | 64.34 18 | 72.08 258 | 70.87 257 | 75.69 277 | 86.21 206 | 56.44 294 | 74.37 314 | 80.73 289 | 62.06 278 | 70.17 256 | 82.23 281 | 42.86 301 | 83.31 303 | 54.77 279 | 84.45 159 | 87.32 253 |
|
OpenMVS_ROB | | 64.09 19 | 70.56 268 | 68.19 272 | 77.65 259 | 80.26 302 | 59.41 258 | 85.01 207 | 82.96 271 | 58.76 302 | 65.43 298 | 82.33 278 | 37.63 324 | 91.23 221 | 45.34 322 | 76.03 255 | 82.32 314 |
|
PVSNet_0 | | 57.27 20 | 61.67 303 | 59.27 305 | 68.85 313 | 79.61 312 | 57.44 281 | 68.01 330 | 73.44 327 | 55.93 318 | 58.54 324 | 70.41 330 | 44.58 292 | 77.55 324 | 47.01 313 | 35.91 339 | 71.55 334 |
|
CMPMVS | | 51.72 21 | 70.19 272 | 68.16 273 | 76.28 273 | 73.15 336 | 57.55 279 | 79.47 280 | 83.92 253 | 48.02 331 | 56.48 330 | 84.81 248 | 43.13 299 | 86.42 286 | 62.67 221 | 81.81 192 | 84.89 291 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
PMVS | | 37.38 22 | 44.16 313 | 40.28 315 | 55.82 323 | 40.82 350 | 42.54 339 | 65.12 335 | 63.99 343 | 34.43 340 | 24.48 343 | 57.12 339 | 3.92 352 | 76.17 329 | 17.10 343 | 55.52 332 | 48.75 339 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
MVE | | 26.22 23 | 30.37 317 | 25.89 320 | 43.81 328 | 44.55 349 | 35.46 344 | 28.87 346 | 39.07 349 | 18.20 345 | 18.58 346 | 40.18 341 | 2.68 353 | 47.37 347 | 17.07 344 | 23.78 342 | 48.60 340 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
IU-MVS | | | | | | 95.30 2 | 71.25 58 | | 92.95 49 | 66.81 222 | 92.39 4 | | | | 88.94 7 | 96.63 2 | 94.85 9 |
|
OPU-MVS | | | | | 89.06 1 | 94.62 12 | 75.42 2 | 93.57 5 | | | | 94.02 40 | 82.45 2 | 96.87 15 | 83.77 45 | 96.48 5 | 94.88 7 |
|
test_241102_TWO | | | | | | | | | 94.06 11 | 77.24 47 | 92.78 3 | 95.72 6 | 81.26 5 | 97.44 2 | 89.07 6 | 96.58 3 | 94.26 30 |
|
test_241102_ONE | | | | | | 95.30 2 | 70.98 64 | | 94.06 11 | 77.17 49 | 93.10 1 | 95.39 8 | 82.99 1 | 97.27 6 | | | |
|
xxxxxxxxxxxxxcwj | | | 88.01 16 | 88.08 15 | 87.77 23 | 93.80 36 | 72.35 42 | 90.47 57 | 91.17 116 | 74.31 109 | 89.16 14 | 95.10 10 | 75.65 17 | 96.19 40 | 87.07 17 | 96.01 12 | 94.79 10 |
|
SF-MVS | | | 88.46 9 | 88.74 9 | 87.64 34 | 92.78 59 | 71.95 49 | 92.40 19 | 94.74 2 | 75.71 82 | 89.16 14 | 95.10 10 | 75.65 17 | 96.19 40 | 87.07 17 | 96.01 12 | 94.79 10 |
|
ETH3D cwj APD-0.16 | | | 87.31 30 | 87.27 26 | 87.44 39 | 91.60 77 | 72.45 39 | 90.02 69 | 94.37 4 | 71.76 149 | 87.28 28 | 94.27 30 | 75.18 21 | 96.08 44 | 85.16 26 | 95.77 21 | 93.80 54 |
|
cl-mvsnet2 | | | 78.07 184 | 77.01 184 | 81.23 197 | 82.37 277 | 61.83 233 | 83.55 242 | 87.98 203 | 68.96 204 | 75.06 209 | 83.87 258 | 61.40 154 | 91.88 204 | 73.53 129 | 76.39 250 | 89.98 185 |
|
miper_ehance_all_eth | | | 78.59 171 | 77.76 170 | 81.08 202 | 82.66 270 | 61.56 236 | 83.65 238 | 89.15 172 | 68.87 206 | 75.55 191 | 83.79 262 | 66.49 94 | 92.03 197 | 73.25 135 | 76.39 250 | 89.64 197 |
|
miper_enhance_ethall | | | 77.87 191 | 76.86 188 | 80.92 205 | 81.65 284 | 61.38 238 | 82.68 251 | 88.98 179 | 65.52 242 | 75.47 192 | 82.30 279 | 65.76 105 | 92.00 199 | 72.95 138 | 76.39 250 | 89.39 202 |
|
ZNCC-MVS | | | 87.94 17 | 87.85 18 | 88.20 9 | 94.39 23 | 73.33 18 | 93.03 11 | 93.81 17 | 76.81 59 | 85.24 42 | 94.32 29 | 71.76 49 | 96.93 14 | 85.53 25 | 95.79 20 | 94.32 27 |
|
ETH3 D test6400 | | | 87.50 23 | 87.44 24 | 87.70 31 | 93.71 38 | 71.75 53 | 90.62 52 | 94.05 13 | 70.80 164 | 87.59 27 | 93.51 48 | 77.57 10 | 96.63 26 | 83.31 47 | 95.77 21 | 94.72 14 |
|
cl-mvsnet_ | | | 77.72 193 | 76.76 192 | 80.58 210 | 82.49 274 | 60.48 248 | 83.09 247 | 87.87 206 | 69.22 195 | 74.38 218 | 85.22 242 | 62.10 144 | 91.53 212 | 71.09 150 | 75.41 265 | 89.73 196 |
|
cl-mvsnet1 | | | 77.72 193 | 76.76 192 | 80.58 210 | 82.48 275 | 60.48 248 | 83.09 247 | 87.86 207 | 69.22 195 | 74.38 218 | 85.24 241 | 62.10 144 | 91.53 212 | 71.09 150 | 75.40 266 | 89.74 195 |
|
eth_miper_zixun_eth | | | 77.92 189 | 76.69 195 | 81.61 187 | 83.00 261 | 61.98 230 | 83.15 246 | 89.20 171 | 69.52 189 | 74.86 213 | 84.35 253 | 61.76 147 | 92.56 180 | 71.50 148 | 72.89 290 | 90.28 167 |
|
9.14 | | | | 88.26 13 | | 92.84 58 | | 91.52 38 | 94.75 1 | 73.93 119 | 88.57 19 | 94.67 16 | 75.57 19 | 95.79 54 | 86.77 19 | 95.76 23 | |
|
testtj | | | 87.78 18 | 87.78 19 | 87.77 23 | 94.55 15 | 72.47 37 | 92.23 27 | 93.49 25 | 74.75 101 | 88.33 20 | 94.43 26 | 73.27 37 | 97.02 12 | 84.18 42 | 94.84 43 | 93.82 51 |
|
uanet_test | | | 0.00 325 | 0.00 327 | 0.00 336 | 0.00 355 | 0.00 356 | 0.00 347 | 0.00 357 | 0.00 351 | 0.00 352 | 0.00 352 | 0.00 357 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
ETH3D-3000-0.1 | | | 88.09 11 | 88.29 12 | 87.50 37 | 92.76 60 | 71.89 52 | 91.43 39 | 94.70 3 | 74.47 106 | 88.86 17 | 94.61 18 | 75.23 20 | 95.84 52 | 86.62 22 | 95.92 16 | 94.78 12 |
|
save fliter | | | | | | 93.80 36 | 72.35 42 | 90.47 57 | 91.17 116 | 74.31 109 | | | | | | | |
|
ET-MVSNet_ETH3D | | | 78.63 169 | 76.63 197 | 84.64 95 | 86.73 201 | 69.47 94 | 85.01 207 | 84.61 245 | 69.54 188 | 66.51 292 | 86.59 210 | 50.16 253 | 91.75 206 | 76.26 109 | 84.24 161 | 92.69 96 |
|
UniMVSNet_ETH3D | | | 79.10 159 | 78.24 157 | 81.70 184 | 86.85 197 | 60.24 251 | 87.28 150 | 88.79 185 | 74.25 112 | 76.84 162 | 90.53 109 | 49.48 261 | 91.56 211 | 67.98 177 | 82.15 187 | 93.29 75 |
|
EIA-MVS | | | 83.31 80 | 82.80 81 | 84.82 90 | 89.59 109 | 65.59 165 | 88.21 126 | 92.68 58 | 74.66 103 | 78.96 120 | 86.42 217 | 69.06 75 | 95.26 73 | 75.54 117 | 90.09 95 | 93.62 63 |
|
miper_lstm_enhance | | | 74.11 238 | 73.11 237 | 77.13 268 | 80.11 304 | 59.62 255 | 72.23 318 | 86.92 222 | 66.76 224 | 70.40 252 | 82.92 270 | 56.93 196 | 82.92 305 | 69.06 171 | 72.63 291 | 88.87 220 |
|
ETV-MVS | | | 84.90 66 | 84.67 65 | 85.59 70 | 89.39 117 | 68.66 115 | 88.74 105 | 92.64 62 | 79.97 17 | 84.10 64 | 85.71 230 | 69.32 72 | 95.38 68 | 80.82 70 | 91.37 79 | 92.72 93 |
|
CS-MVS | | | 84.76 67 | 84.61 66 | 85.22 78 | 89.66 107 | 66.43 150 | 90.23 64 | 93.56 22 | 76.52 68 | 82.59 85 | 85.93 225 | 70.41 60 | 95.80 53 | 79.93 79 | 92.68 69 | 93.42 70 |
|
D2MVS | | | 74.82 232 | 73.21 235 | 79.64 230 | 79.81 308 | 62.56 223 | 80.34 272 | 87.35 217 | 64.37 255 | 68.86 270 | 82.66 275 | 46.37 279 | 90.10 242 | 67.91 178 | 81.24 196 | 86.25 273 |
|
MSP-MVS | | | 89.60 1 | 90.35 1 | 87.33 41 | 95.27 4 | 71.25 58 | 93.49 6 | 92.73 57 | 77.33 45 | 92.12 7 | 95.78 4 | 80.98 6 | 97.40 3 | 89.08 4 | 96.41 7 | 93.33 74 |
|
test_0728_THIRD | | | | | | | | | | 78.38 32 | 92.12 7 | 95.78 4 | 81.46 4 | 97.40 3 | 89.42 2 | 96.57 4 | 94.67 15 |
|
test_0728_SECOND | | | | | 87.71 30 | 95.34 1 | 71.43 57 | 93.49 6 | 94.23 5 | | | | | 97.49 1 | 89.08 4 | 96.41 7 | 94.21 31 |
|
test0726 | | | | | | 95.27 4 | 71.25 58 | 93.60 4 | 94.11 6 | 77.33 45 | 92.81 2 | 95.79 3 | 80.98 6 | | | | |
|
SR-MVS | | | 86.73 37 | 86.67 38 | 86.91 48 | 94.11 33 | 72.11 47 | 92.37 23 | 92.56 64 | 74.50 105 | 86.84 31 | 94.65 17 | 67.31 88 | 95.77 55 | 84.80 33 | 92.85 66 | 92.84 92 |
|
DPM-MVS | | | 84.93 64 | 84.29 68 | 86.84 49 | 90.20 97 | 73.04 22 | 87.12 153 | 93.04 38 | 69.80 183 | 82.85 80 | 91.22 92 | 73.06 39 | 96.02 46 | 76.72 107 | 94.63 47 | 91.46 130 |
|
GST-MVS | | | 87.42 26 | 87.26 27 | 87.89 22 | 94.12 32 | 72.97 23 | 92.39 21 | 93.43 28 | 76.89 57 | 84.68 53 | 93.99 42 | 70.67 59 | 96.82 17 | 84.18 42 | 95.01 37 | 93.90 46 |
|
test_yl | | | 81.17 110 | 80.47 111 | 83.24 140 | 89.13 131 | 63.62 200 | 86.21 181 | 89.95 149 | 72.43 141 | 81.78 94 | 89.61 126 | 57.50 189 | 93.58 141 | 70.75 152 | 86.90 132 | 92.52 99 |
|
thisisatest0530 | | | 79.40 152 | 77.76 170 | 84.31 107 | 87.69 179 | 65.10 177 | 87.36 147 | 84.26 250 | 70.04 178 | 77.42 151 | 88.26 165 | 49.94 256 | 94.79 95 | 70.20 158 | 84.70 156 | 93.03 86 |
|
Anonymous20240529 | | | 80.19 137 | 78.89 142 | 84.10 113 | 90.60 90 | 64.75 181 | 88.95 95 | 90.90 123 | 65.97 237 | 80.59 108 | 91.17 94 | 49.97 255 | 93.73 138 | 69.16 170 | 82.70 183 | 93.81 52 |
|
Anonymous202405211 | | | 78.25 177 | 77.01 184 | 81.99 179 | 91.03 83 | 60.67 245 | 84.77 212 | 83.90 254 | 70.65 170 | 80.00 111 | 91.20 93 | 41.08 311 | 91.43 215 | 65.21 202 | 85.26 150 | 93.85 48 |
|
DCV-MVSNet | | | 81.17 110 | 80.47 111 | 83.24 140 | 89.13 131 | 63.62 200 | 86.21 181 | 89.95 149 | 72.43 141 | 81.78 94 | 89.61 126 | 57.50 189 | 93.58 141 | 70.75 152 | 86.90 132 | 92.52 99 |
|
tttt0517 | | | 79.40 152 | 77.91 163 | 83.90 125 | 88.10 164 | 63.84 197 | 88.37 120 | 84.05 252 | 71.45 157 | 76.78 165 | 89.12 141 | 49.93 258 | 94.89 90 | 70.18 159 | 83.18 175 | 92.96 90 |
|
our_test_3 | | | 69.14 278 | 67.00 285 | 75.57 279 | 79.80 309 | 58.80 261 | 77.96 295 | 77.81 310 | 59.55 295 | 62.90 313 | 78.25 311 | 47.43 272 | 83.97 298 | 51.71 289 | 67.58 313 | 83.93 302 |
|
thisisatest0515 | | | 77.33 201 | 75.38 211 | 83.18 143 | 85.27 219 | 63.80 198 | 82.11 257 | 83.27 265 | 65.06 246 | 75.91 184 | 83.84 260 | 49.54 260 | 94.27 107 | 67.24 186 | 86.19 143 | 91.48 129 |
|
ppachtmachnet_test | | | 70.04 273 | 67.34 284 | 78.14 251 | 79.80 309 | 61.13 239 | 79.19 284 | 80.59 291 | 59.16 299 | 65.27 299 | 79.29 304 | 46.75 278 | 87.29 279 | 49.33 301 | 66.72 314 | 86.00 282 |
|
SMA-MVS | | | 89.08 5 | 89.23 5 | 88.61 3 | 94.25 26 | 73.73 8 | 92.40 19 | 93.63 20 | 74.77 100 | 92.29 5 | 95.97 2 | 74.28 30 | 97.24 7 | 88.58 9 | 96.91 1 | 94.87 8 |
|
GSMVS | | | | | | | | | | | | | | | | | 88.96 217 |
|
DPE-MVS | | | 89.48 3 | 89.98 2 | 88.01 12 | 94.80 8 | 72.69 30 | 91.59 35 | 94.10 8 | 75.90 80 | 92.29 5 | 95.66 7 | 81.67 3 | 97.38 5 | 87.44 16 | 96.34 10 | 93.95 43 |
|
test_part2 | | | | | | 95.06 6 | 72.65 31 | | | | 91.80 9 | | | | | | |
|
test_part1 | | | | | 0.00 336 | | 0.00 356 | 0.00 347 | 94.09 9 | | | | 0.00 357 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
thres100view900 | | | 76.50 211 | 75.55 207 | 79.33 234 | 89.52 112 | 56.99 285 | 85.83 191 | 83.23 266 | 73.94 118 | 76.32 176 | 87.12 193 | 51.89 235 | 91.95 200 | 48.33 305 | 83.75 166 | 89.07 206 |
|
tfpnnormal | | | 74.39 234 | 73.16 236 | 78.08 252 | 86.10 207 | 58.05 268 | 84.65 217 | 87.53 213 | 70.32 174 | 71.22 247 | 85.63 233 | 54.97 203 | 89.86 244 | 43.03 326 | 75.02 273 | 86.32 272 |
|
tfpn200view9 | | | 76.42 214 | 75.37 212 | 79.55 233 | 89.13 131 | 57.65 277 | 85.17 202 | 83.60 257 | 73.41 129 | 76.45 171 | 86.39 218 | 52.12 228 | 91.95 200 | 48.33 305 | 83.75 166 | 89.07 206 |
|
cl_fuxian | | | 78.75 166 | 77.91 163 | 81.26 196 | 82.89 265 | 61.56 236 | 84.09 233 | 89.13 174 | 69.97 180 | 75.56 190 | 84.29 254 | 66.36 96 | 92.09 196 | 73.47 132 | 75.48 263 | 90.12 173 |
|
CHOSEN 280x420 | | | 66.51 292 | 64.71 292 | 71.90 298 | 81.45 288 | 63.52 205 | 57.98 339 | 68.95 337 | 53.57 323 | 62.59 314 | 76.70 318 | 46.22 281 | 75.29 333 | 55.25 277 | 79.68 213 | 76.88 331 |
|
CANet | | | 86.45 42 | 86.10 47 | 87.51 36 | 90.09 99 | 70.94 67 | 89.70 79 | 92.59 63 | 81.78 4 | 81.32 98 | 91.43 89 | 70.34 61 | 97.23 8 | 84.26 39 | 93.36 62 | 94.37 24 |
|
Fast-Effi-MVS+-dtu | | | 78.02 186 | 76.49 198 | 82.62 170 | 83.16 257 | 66.96 145 | 86.94 158 | 87.45 216 | 72.45 138 | 71.49 245 | 84.17 255 | 54.79 207 | 91.58 210 | 67.61 180 | 80.31 209 | 89.30 204 |
|
Effi-MVS+-dtu | | | 80.03 139 | 78.57 147 | 84.42 101 | 85.13 223 | 68.74 109 | 88.77 102 | 88.10 199 | 74.99 96 | 74.97 211 | 83.49 266 | 57.27 192 | 93.36 151 | 73.53 129 | 80.88 199 | 91.18 136 |
|
CANet_DTU | | | 80.61 126 | 79.87 120 | 82.83 160 | 85.60 214 | 63.17 216 | 87.36 147 | 88.65 191 | 76.37 73 | 75.88 186 | 88.44 159 | 53.51 218 | 93.07 165 | 73.30 134 | 89.74 100 | 92.25 108 |
|
MVS_0304 | | | 72.48 254 | 70.89 256 | 77.24 266 | 82.20 278 | 59.68 254 | 84.11 231 | 83.49 261 | 67.10 221 | 66.87 287 | 80.59 294 | 35.00 331 | 87.40 278 | 59.07 252 | 79.58 214 | 84.63 295 |
|
MP-MVS-pluss | | | 87.67 20 | 87.72 20 | 87.54 35 | 93.64 42 | 72.04 48 | 89.80 75 | 93.50 24 | 75.17 95 | 86.34 33 | 95.29 9 | 70.86 55 | 96.00 48 | 88.78 8 | 96.04 11 | 94.58 18 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
DVP-MVS | | | 89.51 2 | 89.91 3 | 88.30 7 | 94.28 25 | 73.46 16 | 92.90 13 | 94.11 6 | 80.27 12 | 91.35 10 | 94.16 35 | 78.35 9 | 96.77 19 | 89.59 1 | 94.22 58 | 94.67 15 |
|
sam_mvs1 | | | | | | | | | | | | | 51.32 241 | | | | 88.96 217 |
|
sam_mvs | | | | | | | | | | | | | 50.01 254 | | | | |
|
IterMVS-SCA-FT | | | 75.43 228 | 73.87 229 | 80.11 219 | 82.69 269 | 64.85 179 | 81.57 263 | 83.47 262 | 69.16 198 | 70.49 251 | 84.15 256 | 51.95 233 | 88.15 271 | 69.23 168 | 72.14 295 | 87.34 252 |
|
TSAR-MVS + MP. | | | 88.02 15 | 88.11 14 | 87.72 28 | 93.68 41 | 72.13 46 | 91.41 40 | 92.35 71 | 74.62 104 | 88.90 16 | 93.85 44 | 75.75 16 | 96.00 48 | 87.80 11 | 94.63 47 | 95.04 3 |
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
xiu_mvs_v1_base_debu | | | 80.80 121 | 79.72 124 | 84.03 118 | 87.35 185 | 70.19 80 | 85.56 194 | 88.77 186 | 69.06 200 | 81.83 90 | 88.16 166 | 50.91 244 | 92.85 172 | 78.29 91 | 87.56 122 | 89.06 208 |
|
OPM-MVS | | | 83.50 75 | 82.95 78 | 85.14 79 | 88.79 144 | 70.95 66 | 89.13 92 | 91.52 103 | 77.55 41 | 80.96 105 | 91.75 78 | 60.71 166 | 94.50 102 | 79.67 80 | 86.51 139 | 89.97 186 |
|
ACMMP_NAP | | | 88.05 14 | 88.08 15 | 87.94 15 | 93.70 39 | 73.05 21 | 90.86 47 | 93.59 21 | 76.27 76 | 88.14 21 | 95.09 12 | 71.06 54 | 96.67 23 | 87.67 12 | 96.37 9 | 94.09 35 |
|
ambc | | | | | 75.24 283 | 73.16 335 | 50.51 327 | 63.05 338 | 87.47 215 | | 64.28 305 | 77.81 314 | 17.80 343 | 89.73 247 | 57.88 264 | 60.64 326 | 85.49 284 |
|
zzz-MVS | | | 87.53 22 | 87.41 25 | 87.90 19 | 94.18 30 | 74.25 3 | 90.23 64 | 92.02 81 | 79.45 19 | 85.88 35 | 94.80 13 | 68.07 79 | 96.21 38 | 86.69 20 | 95.34 31 | 93.23 77 |
|
MTGPA | | | | | | | | | 92.02 81 | | | | | | | | |
|
mvs-test1 | | | 80.88 114 | 79.40 131 | 85.29 74 | 85.13 223 | 69.75 88 | 89.28 84 | 88.10 199 | 74.99 96 | 76.44 174 | 86.72 201 | 57.27 192 | 94.26 111 | 73.53 129 | 83.18 175 | 91.87 118 |
|
Effi-MVS+ | | | 83.62 74 | 83.08 75 | 85.24 76 | 88.38 157 | 67.45 134 | 88.89 97 | 89.15 172 | 75.50 87 | 82.27 86 | 88.28 163 | 69.61 69 | 94.45 103 | 77.81 94 | 87.84 118 | 93.84 50 |
|
xiu_mvs_v2_base | | | 81.69 101 | 81.05 103 | 83.60 127 | 89.15 130 | 68.03 127 | 84.46 222 | 90.02 147 | 70.67 168 | 81.30 101 | 86.53 215 | 63.17 125 | 94.19 113 | 75.60 116 | 88.54 112 | 88.57 230 |
|
xiu_mvs_v1_base | | | 80.80 121 | 79.72 124 | 84.03 118 | 87.35 185 | 70.19 80 | 85.56 194 | 88.77 186 | 69.06 200 | 81.83 90 | 88.16 166 | 50.91 244 | 92.85 172 | 78.29 91 | 87.56 122 | 89.06 208 |
|
new-patchmatchnet | | | 61.73 302 | 61.73 303 | 61.70 320 | 72.74 337 | 24.50 350 | 69.16 327 | 78.03 309 | 61.40 281 | 56.72 329 | 75.53 323 | 38.42 320 | 76.48 328 | 45.95 319 | 57.67 329 | 84.13 300 |
|
pmmvs6 | | | 74.69 233 | 73.39 232 | 78.61 244 | 81.38 290 | 57.48 280 | 86.64 169 | 87.95 204 | 64.99 249 | 70.18 255 | 86.61 209 | 50.43 251 | 89.52 250 | 62.12 226 | 70.18 305 | 88.83 222 |
|
pmmvs5 | | | 71.55 260 | 70.20 261 | 75.61 278 | 77.83 319 | 56.39 295 | 81.74 260 | 80.89 286 | 57.76 307 | 67.46 280 | 84.49 251 | 49.26 265 | 85.32 294 | 57.08 271 | 75.29 270 | 85.11 290 |
|
test_post1 | | | | | | | | 78.90 288 | | | | 5.43 348 | 48.81 269 | 85.44 293 | 59.25 249 | | |
|
test_post | | | | | | | | | | | | 5.46 347 | 50.36 252 | 84.24 297 | | | |
|
Fast-Effi-MVS+ | | | 80.81 119 | 79.92 119 | 83.47 130 | 88.85 138 | 64.51 184 | 85.53 199 | 89.39 162 | 70.79 165 | 78.49 130 | 85.06 246 | 67.54 85 | 93.58 141 | 67.03 190 | 86.58 137 | 92.32 105 |
|
patchmatchnet-post | | | | | | | | | | | | 74.00 325 | 51.12 243 | 88.60 266 | | | |
|
Anonymous20231211 | | | 78.97 163 | 77.69 173 | 82.81 162 | 90.54 91 | 64.29 190 | 90.11 68 | 91.51 104 | 65.01 248 | 76.16 183 | 88.13 170 | 50.56 249 | 93.03 169 | 69.68 165 | 77.56 234 | 91.11 138 |
|
pmmvs-eth3d | | | 70.50 269 | 67.83 279 | 78.52 247 | 77.37 322 | 66.18 154 | 81.82 258 | 81.51 283 | 58.90 301 | 63.90 308 | 80.42 296 | 42.69 302 | 86.28 287 | 58.56 257 | 65.30 319 | 83.11 309 |
|
GG-mvs-BLEND | | | | | 75.38 282 | 81.59 286 | 55.80 302 | 79.32 281 | 69.63 333 | | 67.19 283 | 73.67 326 | 43.24 298 | 88.90 264 | 50.41 294 | 84.50 157 | 81.45 319 |
|
xiu_mvs_v1_base_debi | | | 80.80 121 | 79.72 124 | 84.03 118 | 87.35 185 | 70.19 80 | 85.56 194 | 88.77 186 | 69.06 200 | 81.83 90 | 88.16 166 | 50.91 244 | 92.85 172 | 78.29 91 | 87.56 122 | 89.06 208 |
|
Anonymous20231206 | | | 68.60 280 | 67.80 280 | 71.02 305 | 80.23 303 | 50.75 326 | 78.30 293 | 80.47 293 | 56.79 314 | 66.11 295 | 82.63 276 | 46.35 280 | 78.95 317 | 43.62 325 | 75.70 258 | 83.36 306 |
|
MTAPA | | | 87.23 31 | 87.00 32 | 87.90 19 | 94.18 30 | 74.25 3 | 86.58 171 | 92.02 81 | 79.45 19 | 85.88 35 | 94.80 13 | 68.07 79 | 96.21 38 | 86.69 20 | 95.34 31 | 93.23 77 |
|
MTMP | | | | | | | | 92.18 29 | 32.83 350 | | | | | | | | |
|
gm-plane-assit | | | | | | 81.40 289 | 53.83 313 | | | 62.72 272 | | 80.94 292 | | 92.39 185 | 63.40 214 | | |
|
test9_res | | | | | | | | | | | | | | | 84.90 29 | 95.70 26 | 92.87 91 |
|
MVP-Stereo | | | 76.12 218 | 74.46 223 | 81.13 201 | 85.37 218 | 69.79 86 | 84.42 225 | 87.95 204 | 65.03 247 | 67.46 280 | 85.33 239 | 53.28 220 | 91.73 208 | 58.01 263 | 83.27 173 | 81.85 317 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
TEST9 | | | | | | 93.26 48 | 72.96 24 | 88.75 103 | 91.89 90 | 68.44 213 | 85.00 45 | 93.10 57 | 74.36 29 | 95.41 66 | | | |
|
train_agg | | | 86.43 43 | 86.20 44 | 87.13 45 | 93.26 48 | 72.96 24 | 88.75 103 | 91.89 90 | 68.69 209 | 85.00 45 | 93.10 57 | 74.43 26 | 95.41 66 | 84.97 28 | 95.71 25 | 93.02 87 |
|
gg-mvs-nofinetune | | | 69.95 274 | 67.96 276 | 75.94 275 | 83.07 258 | 54.51 309 | 77.23 299 | 70.29 331 | 63.11 264 | 70.32 253 | 62.33 333 | 43.62 297 | 88.69 265 | 53.88 282 | 87.76 119 | 84.62 296 |
|
SCA | | | 74.22 237 | 72.33 243 | 79.91 222 | 84.05 239 | 62.17 228 | 79.96 276 | 79.29 304 | 66.30 232 | 72.38 236 | 80.13 298 | 51.95 233 | 88.60 266 | 59.25 249 | 77.67 233 | 88.96 217 |
|
Patchmatch-test | | | 64.82 298 | 63.24 297 | 69.57 309 | 79.42 314 | 49.82 329 | 63.49 337 | 69.05 336 | 51.98 328 | 59.95 321 | 80.13 298 | 50.91 244 | 70.98 339 | 40.66 331 | 73.57 286 | 87.90 240 |
|
test_8 | | | | | | 93.13 50 | 72.57 34 | 88.68 108 | 91.84 93 | 68.69 209 | 84.87 51 | 93.10 57 | 74.43 26 | 95.16 76 | | | |
|
MS-PatchMatch | | | 73.83 241 | 72.67 239 | 77.30 265 | 83.87 242 | 66.02 156 | 81.82 258 | 84.66 244 | 61.37 283 | 68.61 273 | 82.82 273 | 47.29 273 | 88.21 270 | 59.27 248 | 84.32 160 | 77.68 329 |
|
Patchmatch-RL test | | | 70.24 271 | 67.78 281 | 77.61 260 | 77.43 321 | 59.57 257 | 71.16 320 | 70.33 330 | 62.94 268 | 68.65 272 | 72.77 327 | 50.62 248 | 85.49 292 | 69.58 166 | 66.58 316 | 87.77 243 |
|
cdsmvs_eth3d_5k | | | 19.96 318 | 26.61 319 | 0.00 336 | 0.00 355 | 0.00 356 | 0.00 347 | 89.26 168 | 0.00 351 | 0.00 352 | 88.61 153 | 61.62 150 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
pcd_1.5k_mvsjas | | | 5.26 324 | 7.02 326 | 0.00 336 | 0.00 355 | 0.00 356 | 0.00 347 | 0.00 357 | 0.00 351 | 0.00 352 | 0.00 352 | 63.15 126 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
agg_prior1 | | | 86.22 47 | 86.09 48 | 86.62 55 | 92.85 56 | 71.94 50 | 88.59 110 | 91.78 96 | 68.96 204 | 84.41 58 | 93.18 56 | 74.94 22 | 94.93 85 | 84.75 34 | 95.33 33 | 93.01 88 |
|
agg_prior2 | | | | | | | | | | | | | | | 82.91 55 | 95.45 28 | 92.70 94 |
|
agg_prior | | | | | | 92.85 56 | 71.94 50 | | 91.78 96 | | 84.41 58 | | | 94.93 85 | | | |
|
tmp_tt | | | 18.61 319 | 21.40 321 | 10.23 333 | 4.82 352 | 10.11 352 | 34.70 344 | 30.74 351 | 1.48 348 | 23.91 345 | 26.07 345 | 28.42 336 | 13.41 350 | 27.12 339 | 15.35 346 | 7.17 345 |
|
canonicalmvs | | | 85.91 49 | 85.87 50 | 86.04 66 | 89.84 105 | 69.44 97 | 90.45 60 | 93.00 42 | 76.70 65 | 88.01 24 | 91.23 91 | 73.28 36 | 93.91 127 | 81.50 64 | 88.80 108 | 94.77 13 |
|
anonymousdsp | | | 78.60 170 | 77.15 182 | 82.98 154 | 80.51 301 | 67.08 141 | 87.24 151 | 89.53 159 | 65.66 240 | 75.16 205 | 87.19 191 | 52.52 221 | 92.25 190 | 77.17 101 | 79.34 220 | 89.61 198 |
|
alignmvs | | | 85.48 54 | 85.32 55 | 85.96 67 | 89.51 113 | 69.47 94 | 89.74 77 | 92.47 65 | 76.17 77 | 87.73 26 | 91.46 88 | 70.32 62 | 93.78 132 | 81.51 63 | 88.95 105 | 94.63 17 |
|
nrg030 | | | 83.88 69 | 83.53 70 | 84.96 85 | 86.77 200 | 69.28 98 | 90.46 59 | 92.67 59 | 74.79 99 | 82.95 77 | 91.33 90 | 72.70 41 | 93.09 164 | 80.79 72 | 79.28 222 | 92.50 101 |
|
v144192 | | | 79.47 149 | 78.37 153 | 82.78 166 | 83.35 249 | 63.96 195 | 86.96 157 | 90.36 138 | 69.99 179 | 77.50 149 | 85.67 232 | 60.66 168 | 93.77 134 | 74.27 123 | 76.58 246 | 90.62 152 |
|
FIs | | | 82.07 95 | 82.42 83 | 81.04 203 | 88.80 143 | 58.34 265 | 88.26 125 | 93.49 25 | 76.93 56 | 78.47 131 | 91.04 98 | 69.92 66 | 92.34 188 | 69.87 163 | 84.97 152 | 92.44 103 |
|
v1921920 | | | 79.22 156 | 78.03 160 | 82.80 163 | 83.30 251 | 63.94 196 | 86.80 163 | 90.33 139 | 69.91 181 | 77.48 150 | 85.53 235 | 58.44 182 | 93.75 136 | 73.60 128 | 76.85 243 | 90.71 150 |
|
UA-Net | | | 85.08 63 | 84.96 61 | 85.45 71 | 92.07 71 | 68.07 126 | 89.78 76 | 90.86 125 | 82.48 2 | 84.60 56 | 93.20 55 | 69.35 71 | 95.22 74 | 71.39 149 | 90.88 85 | 93.07 84 |
|
v1192 | | | 79.59 146 | 78.43 151 | 83.07 149 | 83.55 247 | 64.52 183 | 86.93 159 | 90.58 129 | 70.83 163 | 77.78 145 | 85.90 226 | 59.15 178 | 93.94 123 | 73.96 126 | 77.19 238 | 90.76 147 |
|
FC-MVSNet-test | | | 81.52 105 | 82.02 91 | 80.03 220 | 88.42 156 | 55.97 301 | 87.95 133 | 93.42 29 | 77.10 52 | 77.38 152 | 90.98 103 | 69.96 65 | 91.79 205 | 68.46 175 | 84.50 157 | 92.33 104 |
|
v1144 | | | 80.03 139 | 79.03 139 | 83.01 152 | 83.78 243 | 64.51 184 | 87.11 154 | 90.57 130 | 71.96 148 | 78.08 141 | 86.20 222 | 61.41 153 | 93.94 123 | 74.93 119 | 77.23 236 | 90.60 154 |
|
sosnet-low-res | | | 0.00 325 | 0.00 327 | 0.00 336 | 0.00 355 | 0.00 356 | 0.00 347 | 0.00 357 | 0.00 351 | 0.00 352 | 0.00 352 | 0.00 357 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
HFP-MVS | | | 87.58 21 | 87.47 23 | 87.94 15 | 94.58 13 | 73.54 13 | 93.04 9 | 93.24 32 | 76.78 61 | 84.91 47 | 94.44 24 | 70.78 56 | 96.61 27 | 84.53 35 | 94.89 41 | 93.66 56 |
|
v148 | | | 78.72 167 | 77.80 167 | 81.47 189 | 82.73 268 | 61.96 231 | 86.30 179 | 88.08 201 | 73.26 131 | 76.18 180 | 85.47 237 | 62.46 137 | 92.36 187 | 71.92 145 | 73.82 285 | 90.09 176 |
|
sosnet | | | 0.00 325 | 0.00 327 | 0.00 336 | 0.00 355 | 0.00 356 | 0.00 347 | 0.00 357 | 0.00 351 | 0.00 352 | 0.00 352 | 0.00 357 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
uncertanet | | | 0.00 325 | 0.00 327 | 0.00 336 | 0.00 355 | 0.00 356 | 0.00 347 | 0.00 357 | 0.00 351 | 0.00 352 | 0.00 352 | 0.00 357 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
AllTest | | | 70.96 264 | 68.09 275 | 79.58 231 | 85.15 221 | 63.62 200 | 84.58 219 | 79.83 300 | 62.31 275 | 60.32 319 | 86.73 199 | 32.02 333 | 88.96 262 | 50.28 295 | 71.57 299 | 86.15 276 |
|
TestCases | | | | | 79.58 231 | 85.15 221 | 63.62 200 | | 79.83 300 | 62.31 275 | 60.32 319 | 86.73 199 | 32.02 333 | 88.96 262 | 50.28 295 | 71.57 299 | 86.15 276 |
|
v7n | | | 78.97 163 | 77.58 175 | 83.14 145 | 83.45 248 | 65.51 166 | 88.32 121 | 91.21 114 | 73.69 123 | 72.41 235 | 86.32 220 | 57.93 184 | 93.81 131 | 69.18 169 | 75.65 259 | 90.11 174 |
|
region2R | | | 87.42 26 | 87.20 30 | 88.09 10 | 94.63 11 | 73.55 11 | 93.03 11 | 93.12 37 | 76.73 64 | 84.45 57 | 94.52 19 | 69.09 74 | 96.70 22 | 84.37 38 | 94.83 44 | 94.03 38 |
|
testing_2 | | | 75.73 223 | 73.34 234 | 82.89 159 | 77.37 322 | 65.22 173 | 84.10 232 | 90.54 131 | 69.09 199 | 60.46 318 | 81.15 288 | 40.48 313 | 92.84 175 | 76.36 108 | 80.54 207 | 90.60 154 |
|
RRT_MVS | | | 79.88 142 | 78.38 152 | 84.38 102 | 85.42 217 | 70.60 74 | 88.71 107 | 88.75 190 | 72.30 143 | 78.83 124 | 89.14 139 | 44.44 293 | 92.18 193 | 78.50 86 | 79.33 221 | 90.35 164 |
|
PS-MVSNAJss | | | 82.07 95 | 81.31 98 | 84.34 106 | 86.51 203 | 67.27 139 | 89.27 85 | 91.51 104 | 71.75 150 | 79.37 116 | 90.22 114 | 63.15 126 | 94.27 107 | 77.69 95 | 82.36 186 | 91.49 128 |
|
PS-MVSNAJ | | | 81.69 101 | 81.02 104 | 83.70 126 | 89.51 113 | 68.21 124 | 84.28 228 | 90.09 146 | 70.79 165 | 81.26 102 | 85.62 234 | 63.15 126 | 94.29 105 | 75.62 115 | 88.87 107 | 88.59 229 |
|
jajsoiax | | | 79.29 155 | 77.96 161 | 83.27 138 | 84.68 229 | 66.57 149 | 89.25 86 | 90.16 144 | 69.20 197 | 75.46 194 | 89.49 130 | 45.75 287 | 93.13 162 | 76.84 105 | 80.80 201 | 90.11 174 |
|
mvs_tets | | | 79.13 158 | 77.77 169 | 83.22 142 | 84.70 228 | 66.37 152 | 89.17 87 | 90.19 143 | 69.38 191 | 75.40 197 | 89.46 133 | 44.17 295 | 93.15 160 | 76.78 106 | 80.70 203 | 90.14 171 |
|
#test# | | | 87.33 29 | 87.13 31 | 87.94 15 | 94.58 13 | 73.54 13 | 92.34 24 | 93.24 32 | 75.23 92 | 84.91 47 | 94.44 24 | 70.78 56 | 96.61 27 | 83.75 46 | 94.89 41 | 93.66 56 |
|
EI-MVSNet-UG-set | | | 83.81 70 | 83.38 72 | 85.09 81 | 87.87 170 | 67.53 133 | 87.44 146 | 89.66 157 | 79.74 18 | 82.23 87 | 89.41 137 | 70.24 63 | 94.74 96 | 79.95 77 | 83.92 163 | 92.99 89 |
|
EI-MVSNet-Vis-set | | | 84.19 68 | 83.81 69 | 85.31 73 | 88.18 161 | 67.85 129 | 87.66 140 | 89.73 156 | 80.05 16 | 82.95 77 | 89.59 128 | 70.74 58 | 94.82 93 | 80.66 73 | 84.72 155 | 93.28 76 |
|
Regformer-3 | | | 85.23 59 | 85.07 59 | 85.70 69 | 88.95 136 | 69.01 101 | 88.29 123 | 89.91 151 | 80.95 8 | 85.01 44 | 90.01 118 | 72.45 43 | 94.19 113 | 82.50 59 | 87.57 120 | 93.90 46 |
|
Regformer-4 | | | 85.68 53 | 85.45 52 | 86.35 58 | 88.95 136 | 69.67 89 | 88.29 123 | 91.29 111 | 81.73 5 | 85.36 40 | 90.01 118 | 72.62 42 | 95.35 72 | 83.28 50 | 87.57 120 | 94.03 38 |
|
Regformer-1 | | | 86.41 45 | 86.33 41 | 86.64 54 | 89.33 119 | 70.93 68 | 88.43 113 | 91.39 109 | 82.14 3 | 86.65 32 | 90.09 116 | 74.39 28 | 95.01 84 | 83.97 44 | 90.63 87 | 93.97 42 |
|
Regformer-2 | | | 86.63 41 | 86.53 40 | 86.95 47 | 89.33 119 | 71.24 61 | 88.43 113 | 92.05 80 | 82.50 1 | 86.88 30 | 90.09 116 | 74.45 25 | 95.61 58 | 84.38 37 | 90.63 87 | 94.01 40 |
|
HPM-MVS++ | | | 89.02 6 | 89.15 6 | 88.63 2 | 95.01 7 | 76.03 1 | 92.38 22 | 92.85 52 | 80.26 13 | 87.78 25 | 94.27 30 | 75.89 15 | 96.81 18 | 87.45 15 | 96.44 6 | 93.05 85 |
|
test_prior4 | | | | | | | 72.60 33 | 89.01 94 | | | | | | | | | |
|
XVS | | | 87.18 32 | 86.91 35 | 88.00 13 | 94.42 19 | 73.33 18 | 92.78 14 | 92.99 44 | 79.14 21 | 83.67 71 | 94.17 34 | 67.45 86 | 96.60 29 | 83.06 52 | 94.50 50 | 94.07 36 |
|
v1240 | | | 78.99 162 | 77.78 168 | 82.64 169 | 83.21 253 | 63.54 204 | 86.62 170 | 90.30 141 | 69.74 187 | 77.33 153 | 85.68 231 | 57.04 195 | 93.76 135 | 73.13 137 | 76.92 240 | 90.62 152 |
|
test_prior3 | | | 86.73 37 | 86.86 37 | 86.33 59 | 92.61 64 | 69.59 90 | 88.85 99 | 92.97 47 | 75.41 88 | 84.91 47 | 93.54 46 | 74.28 30 | 95.48 62 | 83.31 47 | 95.86 17 | 93.91 44 |
|
pm-mvs1 | | | 77.25 202 | 76.68 196 | 78.93 240 | 84.22 235 | 58.62 263 | 86.41 175 | 88.36 196 | 71.37 158 | 73.31 224 | 88.01 171 | 61.22 159 | 89.15 257 | 64.24 209 | 73.01 289 | 89.03 212 |
|
test_prior2 | | | | | | | | 88.85 99 | | 75.41 88 | 84.91 47 | 93.54 46 | 74.28 30 | | 83.31 47 | 95.86 17 | |
|
X-MVStestdata | | | 80.37 133 | 77.83 166 | 88.00 13 | 94.42 19 | 73.33 18 | 92.78 14 | 92.99 44 | 79.14 21 | 83.67 71 | 12.47 346 | 67.45 86 | 96.60 29 | 83.06 52 | 94.50 50 | 94.07 36 |
|
test_prior | | | | | 86.33 59 | 92.61 64 | 69.59 90 | | 92.97 47 | | | | | 95.48 62 | | | 93.91 44 |
|
旧先验2 | | | | | | | | 86.56 172 | | 58.10 305 | 87.04 29 | | | 88.98 260 | 74.07 125 | | |
|
新几何2 | | | | | | | | 86.29 180 | | | | | | | | | |
|
新几何1 | | | | | 83.42 132 | 93.13 50 | 70.71 72 | | 85.48 237 | 57.43 310 | 81.80 93 | 91.98 74 | 63.28 121 | 92.27 189 | 64.60 208 | 92.99 63 | 87.27 254 |
|
旧先验1 | | | | | | 91.96 72 | 65.79 162 | | 86.37 229 | | | 93.08 61 | 69.31 73 | | | 92.74 67 | 88.74 226 |
|
无先验 | | | | | | | | 87.48 144 | 88.98 179 | 60.00 291 | | | | 94.12 116 | 67.28 184 | | 88.97 216 |
|
原ACMM2 | | | | | | | | 86.86 161 | | | | | | | | | |
|
原ACMM1 | | | | | 84.35 105 | 93.01 54 | 68.79 105 | | 92.44 66 | 63.96 261 | 81.09 103 | 91.57 84 | 66.06 100 | 95.45 64 | 67.19 187 | 94.82 45 | 88.81 223 |
|
test222 | | | | | | 91.50 78 | 68.26 122 | 84.16 229 | 83.20 268 | 54.63 322 | 79.74 112 | 91.63 82 | 58.97 179 | | | 91.42 78 | 86.77 266 |
|
testdata2 | | | | | | | | | | | | | | 91.01 229 | 62.37 223 | | |
|
segment_acmp | | | | | | | | | | | | | 73.08 38 | | | | |
|
testdata | | | | | 79.97 221 | 90.90 86 | 64.21 191 | | 84.71 243 | 59.27 298 | 85.40 39 | 92.91 62 | 62.02 146 | 89.08 258 | 68.95 172 | 91.37 79 | 86.63 270 |
|
testdata1 | | | | | | | | 84.14 230 | | 75.71 82 | | | | | | | |
|
v8 | | | 79.97 141 | 79.02 140 | 82.80 163 | 84.09 237 | 64.50 186 | 87.96 132 | 90.29 142 | 74.13 116 | 75.24 204 | 86.81 198 | 62.88 131 | 93.89 129 | 74.39 122 | 75.40 266 | 90.00 182 |
|
1314 | | | 76.53 210 | 75.30 214 | 80.21 218 | 83.93 241 | 62.32 226 | 84.66 214 | 88.81 184 | 60.23 289 | 70.16 257 | 84.07 257 | 55.30 202 | 90.73 234 | 67.37 183 | 83.21 174 | 87.59 247 |
|
1121 | | | 80.84 116 | 79.77 122 | 84.05 116 | 93.11 52 | 70.78 71 | 84.66 214 | 85.42 238 | 57.37 311 | 81.76 96 | 92.02 73 | 63.41 119 | 94.12 116 | 67.28 184 | 92.93 64 | 87.26 255 |
|
LFMVS | | | 81.82 100 | 81.23 100 | 83.57 129 | 91.89 74 | 63.43 209 | 89.84 72 | 81.85 281 | 77.04 54 | 83.21 74 | 93.10 57 | 52.26 226 | 93.43 150 | 71.98 144 | 89.95 98 | 93.85 48 |
|
VDD-MVS | | | 83.01 85 | 82.36 86 | 84.96 85 | 91.02 84 | 66.40 151 | 88.91 96 | 88.11 198 | 77.57 38 | 84.39 60 | 93.29 54 | 52.19 227 | 93.91 127 | 77.05 102 | 88.70 110 | 94.57 20 |
|
VDDNet | | | 81.52 105 | 80.67 107 | 84.05 116 | 90.44 93 | 64.13 193 | 89.73 78 | 85.91 235 | 71.11 160 | 83.18 75 | 93.48 49 | 50.54 250 | 93.49 147 | 73.40 133 | 88.25 116 | 94.54 21 |
|
v10 | | | 79.74 144 | 78.67 144 | 82.97 155 | 84.06 238 | 64.95 178 | 87.88 137 | 90.62 128 | 73.11 132 | 75.11 207 | 86.56 213 | 61.46 152 | 94.05 119 | 73.68 127 | 75.55 261 | 89.90 188 |
|
VPNet | | | 78.69 168 | 78.66 145 | 78.76 242 | 88.31 159 | 55.72 303 | 84.45 223 | 86.63 225 | 76.79 60 | 78.26 135 | 90.55 108 | 59.30 177 | 89.70 248 | 66.63 191 | 77.05 239 | 90.88 144 |
|
MVS | | | 78.19 181 | 76.99 186 | 81.78 182 | 85.66 212 | 66.99 142 | 84.66 214 | 90.47 133 | 55.08 321 | 72.02 240 | 85.27 240 | 63.83 117 | 94.11 118 | 66.10 195 | 89.80 99 | 84.24 298 |
|
v2v482 | | | 80.23 135 | 79.29 135 | 83.05 150 | 83.62 245 | 64.14 192 | 87.04 155 | 89.97 148 | 73.61 124 | 78.18 138 | 87.22 189 | 61.10 161 | 93.82 130 | 76.11 110 | 76.78 245 | 91.18 136 |
|
V42 | | | 79.38 154 | 78.24 157 | 82.83 160 | 81.10 295 | 65.50 167 | 85.55 197 | 89.82 152 | 71.57 155 | 78.21 136 | 86.12 223 | 60.66 168 | 93.18 159 | 75.64 114 | 75.46 264 | 89.81 193 |
|
SD-MVS | | | 88.06 12 | 88.50 11 | 86.71 53 | 92.60 66 | 72.71 28 | 91.81 34 | 93.19 35 | 77.87 33 | 90.32 12 | 94.00 41 | 74.83 23 | 93.78 132 | 87.63 13 | 94.27 57 | 93.65 61 |
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 |
GA-MVS | | | 76.87 207 | 75.17 215 | 81.97 180 | 82.75 267 | 62.58 222 | 81.44 265 | 86.35 230 | 72.16 146 | 74.74 214 | 82.89 271 | 46.20 282 | 92.02 198 | 68.85 173 | 81.09 197 | 91.30 134 |
|
MSLP-MVS++ | | | 85.43 56 | 85.76 51 | 84.45 100 | 91.93 73 | 70.24 77 | 90.71 50 | 92.86 51 | 77.46 44 | 84.22 62 | 92.81 67 | 67.16 90 | 92.94 170 | 80.36 74 | 94.35 55 | 90.16 170 |
|
APDe-MVS | | | 89.15 4 | 89.63 4 | 87.73 26 | 94.49 17 | 71.69 54 | 93.83 2 | 93.96 14 | 75.70 84 | 91.06 11 | 96.03 1 | 76.84 11 | 97.03 11 | 89.09 3 | 95.65 27 | 94.47 22 |
|
APD-MVS_3200maxsize | | | 85.97 48 | 85.88 49 | 86.22 62 | 92.69 62 | 69.53 92 | 91.93 32 | 92.99 44 | 73.54 127 | 85.94 34 | 94.51 22 | 65.80 104 | 95.61 58 | 83.04 54 | 92.51 71 | 93.53 68 |
|
ADS-MVSNet2 | | | 66.20 295 | 63.33 296 | 74.82 286 | 79.92 306 | 58.75 262 | 67.55 331 | 75.19 320 | 53.37 324 | 65.25 300 | 75.86 321 | 42.32 304 | 80.53 313 | 41.57 329 | 68.91 309 | 85.18 287 |
|
EI-MVSNet | | | 80.52 130 | 79.98 118 | 82.12 175 | 84.28 233 | 63.19 215 | 86.41 175 | 88.95 182 | 74.18 114 | 78.69 125 | 87.54 180 | 66.62 92 | 92.43 183 | 72.57 142 | 80.57 205 | 90.74 149 |
|
Regformer | | | 0.00 325 | 0.00 327 | 0.00 336 | 0.00 355 | 0.00 356 | 0.00 347 | 0.00 357 | 0.00 351 | 0.00 352 | 0.00 352 | 0.00 357 | 0.00 353 | 0.00 350 | 0.00 350 | 0.00 349 |
|
CVMVSNet | | | 72.99 251 | 72.58 240 | 74.25 291 | 84.28 233 | 50.85 325 | 86.41 175 | 83.45 263 | 44.56 332 | 73.23 226 | 87.54 180 | 49.38 262 | 85.70 290 | 65.90 197 | 78.44 227 | 86.19 275 |
|
pmmvs4 | | | 74.03 240 | 71.91 245 | 80.39 213 | 81.96 281 | 68.32 120 | 81.45 264 | 82.14 277 | 59.32 297 | 69.87 263 | 85.13 244 | 52.40 224 | 88.13 272 | 60.21 242 | 74.74 276 | 84.73 294 |
|
EU-MVSNet | | | 68.53 282 | 67.61 283 | 71.31 304 | 78.51 318 | 47.01 334 | 84.47 220 | 84.27 249 | 42.27 333 | 66.44 293 | 84.79 249 | 40.44 314 | 83.76 299 | 58.76 256 | 68.54 312 | 83.17 307 |
|
VNet | | | 82.21 92 | 82.41 84 | 81.62 185 | 90.82 88 | 60.93 241 | 84.47 220 | 89.78 153 | 76.36 74 | 84.07 65 | 91.88 77 | 64.71 112 | 90.26 238 | 70.68 154 | 88.89 106 | 93.66 56 |
|
test-LLR | | | 72.94 252 | 72.43 241 | 74.48 288 | 81.35 291 | 58.04 269 | 78.38 290 | 77.46 312 | 66.66 226 | 69.95 261 | 79.00 307 | 48.06 270 | 79.24 315 | 66.13 193 | 84.83 153 | 86.15 276 |
|
TESTMET0.1,1 | | | 69.89 275 | 69.00 266 | 72.55 297 | 79.27 316 | 56.85 286 | 78.38 290 | 74.71 324 | 57.64 308 | 68.09 275 | 77.19 317 | 37.75 323 | 76.70 326 | 63.92 210 | 84.09 162 | 84.10 301 |
|
test-mter | | | 71.41 261 | 70.39 260 | 74.48 288 | 81.35 291 | 58.04 269 | 78.38 290 | 77.46 312 | 60.32 288 | 69.95 261 | 79.00 307 | 36.08 328 | 79.24 315 | 66.13 193 | 84.83 153 | 86.15 276 |
|
VPA-MVSNet | | | 80.60 127 | 80.55 109 | 80.76 208 | 88.07 165 | 60.80 244 | 86.86 161 | 91.58 102 | 75.67 85 | 80.24 110 | 89.45 135 | 63.34 120 | 90.25 239 | 70.51 156 | 79.22 223 | 91.23 135 |
|
ACMMPR | | | 87.44 24 | 87.23 29 | 88.08 11 | 94.64 10 | 73.59 10 | 93.04 9 | 93.20 34 | 76.78 61 | 84.66 54 | 94.52 19 | 68.81 77 | 96.65 24 | 84.53 35 | 94.90 40 | 94.00 41 |
|
testgi | | | 66.67 291 | 66.53 288 | 67.08 317 | 75.62 329 | 41.69 340 | 75.93 303 | 76.50 317 | 66.11 233 | 65.20 302 | 86.59 210 | 35.72 329 | 74.71 334 | 43.71 324 | 73.38 288 | 84.84 292 |
|
test20.03 | | | 67.45 286 | 66.95 286 | 68.94 311 | 75.48 330 | 44.84 336 | 77.50 297 | 77.67 311 | 66.66 226 | 63.01 311 | 83.80 261 | 47.02 275 | 78.40 319 | 42.53 328 | 68.86 311 | 83.58 304 |
|
thres600view7 | | | 76.50 211 | 75.44 208 | 79.68 227 | 89.40 116 | 57.16 282 | 85.53 199 | 83.23 266 | 73.79 122 | 76.26 177 | 87.09 194 | 51.89 235 | 91.89 203 | 48.05 310 | 83.72 169 | 90.00 182 |
|
ADS-MVSNet | | | 64.36 299 | 62.88 300 | 68.78 314 | 79.92 306 | 47.17 333 | 67.55 331 | 71.18 329 | 53.37 324 | 65.25 300 | 75.86 321 | 42.32 304 | 73.99 337 | 41.57 329 | 68.91 309 | 85.18 287 |
|
MP-MVS | | | 87.71 19 | 87.64 21 | 87.93 18 | 94.36 24 | 73.88 5 | 92.71 18 | 92.65 61 | 77.57 38 | 83.84 68 | 94.40 28 | 72.24 45 | 96.28 36 | 85.65 24 | 95.30 35 | 93.62 63 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
testmvs | | | 6.04 323 | 8.02 325 | 0.10 335 | 0.08 353 | 0.03 355 | 69.74 323 | 0.04 355 | 0.05 349 | 0.31 350 | 1.68 350 | 0.02 356 | 0.04 351 | 0.24 348 | 0.02 348 | 0.25 348 |
|
thres400 | | | 76.50 211 | 75.37 212 | 79.86 223 | 89.13 131 | 57.65 277 | 85.17 202 | 83.60 257 | 73.41 129 | 76.45 171 | 86.39 218 | 52.12 228 | 91.95 200 | 48.33 305 | 83.75 166 | 90.00 182 |
|
test123 | | | 6.12 322 | 8.11 324 | 0.14 334 | 0.06 354 | 0.09 354 | 71.05 321 | 0.03 356 | 0.04 350 | 0.25 351 | 1.30 351 | 0.05 355 | 0.03 352 | 0.21 349 | 0.01 349 | 0.29 347 |
|
thres200 | | | 75.55 226 | 74.47 222 | 78.82 241 | 87.78 176 | 57.85 274 | 83.07 249 | 83.51 260 | 72.44 140 | 75.84 187 | 84.42 252 | 52.08 230 | 91.75 206 | 47.41 312 | 83.64 170 | 86.86 264 |
|
test0.0.03 1 | | | 68.00 284 | 67.69 282 | 68.90 312 | 77.55 320 | 47.43 332 | 75.70 307 | 72.95 328 | 66.66 226 | 66.56 290 | 82.29 280 | 48.06 270 | 75.87 330 | 44.97 323 | 74.51 278 | 83.41 305 |
|
pmmvs3 | | | 57.79 305 | 54.26 308 | 68.37 315 | 64.02 342 | 56.72 289 | 75.12 311 | 65.17 340 | 40.20 335 | 52.93 334 | 69.86 331 | 20.36 341 | 75.48 332 | 45.45 321 | 55.25 333 | 72.90 333 |
|
EMVS | | | 30.81 316 | 29.65 318 | 34.27 330 | 50.96 347 | 25.95 349 | 56.58 341 | 46.80 348 | 24.01 344 | 15.53 348 | 30.68 344 | 12.47 346 | 54.43 346 | 12.81 346 | 17.05 344 | 22.43 344 |
|
E-PMN | | | 31.77 315 | 30.64 317 | 35.15 329 | 52.87 346 | 27.67 347 | 57.09 340 | 47.86 347 | 24.64 343 | 16.40 347 | 33.05 343 | 11.23 347 | 54.90 345 | 14.46 345 | 18.15 343 | 22.87 343 |
|
PGM-MVS | | | 86.68 39 | 86.27 43 | 87.90 19 | 94.22 28 | 73.38 17 | 90.22 66 | 93.04 38 | 75.53 86 | 83.86 67 | 94.42 27 | 67.87 83 | 96.64 25 | 82.70 57 | 94.57 49 | 93.66 56 |
|
LCM-MVSNet-Re | | | 77.05 203 | 76.94 187 | 77.36 263 | 87.20 192 | 51.60 320 | 80.06 274 | 80.46 294 | 75.20 94 | 67.69 278 | 86.72 201 | 62.48 136 | 88.98 260 | 63.44 213 | 89.25 104 | 91.51 126 |
|
LCM-MVSNet | | | 54.25 307 | 49.68 312 | 67.97 316 | 53.73 345 | 45.28 335 | 66.85 333 | 80.78 288 | 35.96 339 | 39.45 339 | 62.23 335 | 8.70 350 | 78.06 322 | 48.24 308 | 51.20 337 | 80.57 322 |
|
MCST-MVS | | | 87.37 28 | 87.25 28 | 87.73 26 | 94.53 16 | 72.46 38 | 89.82 73 | 93.82 16 | 73.07 133 | 84.86 52 | 92.89 63 | 76.22 13 | 96.33 34 | 84.89 31 | 95.13 36 | 94.40 23 |
|
mvs_anonymous | | | 79.42 151 | 79.11 138 | 80.34 215 | 84.45 232 | 57.97 271 | 82.59 252 | 87.62 211 | 67.40 220 | 76.17 182 | 88.56 156 | 68.47 78 | 89.59 249 | 70.65 155 | 86.05 145 | 93.47 69 |
|
MVS_Test | | | 83.15 81 | 83.06 76 | 83.41 134 | 86.86 196 | 63.21 213 | 86.11 184 | 92.00 84 | 74.31 109 | 82.87 79 | 89.44 136 | 70.03 64 | 93.21 155 | 77.39 99 | 88.50 114 | 93.81 52 |
|
MDA-MVSNet-bldmvs | | | 66.68 290 | 63.66 295 | 75.75 276 | 79.28 315 | 60.56 247 | 73.92 315 | 78.35 307 | 64.43 253 | 50.13 336 | 79.87 302 | 44.02 296 | 83.67 300 | 46.10 318 | 56.86 330 | 83.03 311 |
|
CDPH-MVS | | | 85.76 51 | 85.29 57 | 87.17 44 | 93.49 45 | 71.08 62 | 88.58 111 | 92.42 69 | 68.32 214 | 84.61 55 | 93.48 49 | 72.32 44 | 96.15 43 | 79.00 81 | 95.43 29 | 94.28 29 |
|
test12 | | | | | 86.80 51 | 92.63 63 | 70.70 73 | | 91.79 95 | | 82.71 83 | | 71.67 50 | 96.16 42 | | 94.50 50 | 93.54 67 |
|
casdiffmvs | | | 85.11 62 | 85.14 58 | 85.01 83 | 87.20 192 | 65.77 163 | 87.75 138 | 92.83 53 | 77.84 34 | 84.36 61 | 92.38 69 | 72.15 46 | 93.93 126 | 81.27 66 | 90.48 89 | 95.33 1 |
|
diffmvs | | | 82.10 93 | 81.88 94 | 82.76 168 | 83.00 261 | 63.78 199 | 83.68 237 | 89.76 154 | 72.94 136 | 82.02 89 | 89.85 121 | 65.96 103 | 90.79 232 | 82.38 61 | 87.30 127 | 93.71 55 |
|
baseline2 | | | 75.70 224 | 73.83 230 | 81.30 195 | 83.26 252 | 61.79 234 | 82.57 253 | 80.65 290 | 66.81 222 | 66.88 286 | 83.42 267 | 57.86 185 | 92.19 192 | 63.47 212 | 79.57 215 | 89.91 187 |
|
baseline1 | | | 76.98 205 | 76.75 194 | 77.66 258 | 88.13 162 | 55.66 304 | 85.12 205 | 81.89 279 | 73.04 134 | 76.79 164 | 88.90 145 | 62.43 138 | 87.78 276 | 63.30 215 | 71.18 301 | 89.55 200 |
|
YYNet1 | | | 65.03 296 | 62.91 299 | 71.38 300 | 75.85 327 | 56.60 292 | 69.12 328 | 74.66 325 | 57.28 312 | 54.12 332 | 77.87 313 | 45.85 284 | 74.48 335 | 49.95 298 | 61.52 325 | 83.05 310 |
|
PMMVS2 | | | 40.82 314 | 38.86 316 | 46.69 327 | 53.84 344 | 16.45 351 | 48.61 342 | 49.92 346 | 37.49 338 | 31.67 340 | 60.97 336 | 8.14 351 | 56.42 344 | 28.42 338 | 30.72 340 | 67.19 335 |
|
MDA-MVSNet_test_wron | | | 65.03 296 | 62.92 298 | 71.37 301 | 75.93 326 | 56.73 288 | 69.09 329 | 74.73 323 | 57.28 312 | 54.03 333 | 77.89 312 | 45.88 283 | 74.39 336 | 49.89 299 | 61.55 324 | 82.99 312 |
|
tpmvs | | | 71.09 263 | 69.29 264 | 76.49 272 | 82.04 280 | 56.04 300 | 78.92 287 | 81.37 285 | 64.05 258 | 67.18 284 | 78.28 310 | 49.74 259 | 89.77 245 | 49.67 300 | 72.37 292 | 83.67 303 |
|
PM-MVS | | | 66.41 293 | 64.14 294 | 73.20 295 | 73.92 331 | 56.45 293 | 78.97 286 | 64.96 342 | 63.88 262 | 64.72 303 | 80.24 297 | 19.84 342 | 83.44 302 | 66.24 192 | 64.52 321 | 79.71 325 |
|
HQP_MVS | | | 83.64 73 | 83.14 74 | 85.14 79 | 90.08 100 | 68.71 111 | 91.25 42 | 92.44 66 | 79.12 23 | 78.92 122 | 91.00 101 | 60.42 172 | 95.38 68 | 78.71 84 | 86.32 141 | 91.33 132 |
|
plane_prior7 | | | | | | 90.08 100 | 68.51 118 | | | | | | | | | | |
|
plane_prior6 | | | | | | 89.84 105 | 68.70 113 | | | | | | 60.42 172 | | | | |
|
plane_prior5 | | | | | | | | | 92.44 66 | | | | | 95.38 68 | 78.71 84 | 86.32 141 | 91.33 132 |
|
plane_prior4 | | | | | | | | | | | | 91.00 101 | | | | | |
|
plane_prior3 | | | | | | | 68.60 116 | | | 78.44 30 | 78.92 122 | | | | | | |
|
plane_prior2 | | | | | | | | 91.25 42 | | 79.12 23 | | | | | | | |
|
plane_prior1 | | | | | | 89.90 104 | | | | | | | | | | | |
|
plane_prior | | | | | | | 68.71 111 | 90.38 61 | | 77.62 36 | | | | | | 86.16 144 | |
|
PS-CasMVS | | | 78.01 187 | 78.09 159 | 77.77 257 | 87.71 177 | 54.39 310 | 88.02 130 | 91.22 113 | 77.50 43 | 73.26 225 | 88.64 152 | 60.73 165 | 88.41 269 | 61.88 228 | 73.88 284 | 90.53 158 |
|
UniMVSNet_NR-MVSNet | | | 81.88 98 | 81.54 97 | 82.92 156 | 88.46 154 | 63.46 207 | 87.13 152 | 92.37 70 | 80.19 14 | 78.38 132 | 89.14 139 | 71.66 51 | 93.05 166 | 70.05 160 | 76.46 248 | 92.25 108 |
|
PEN-MVS | | | 77.73 192 | 77.69 173 | 77.84 255 | 87.07 195 | 53.91 312 | 87.91 136 | 91.18 115 | 77.56 40 | 73.14 227 | 88.82 148 | 61.23 158 | 89.17 256 | 59.95 243 | 72.37 292 | 90.43 161 |
|
TransMVSNet (Re) | | | 75.39 230 | 74.56 220 | 77.86 254 | 85.50 216 | 57.10 284 | 86.78 165 | 86.09 234 | 72.17 145 | 71.53 244 | 87.34 184 | 63.01 130 | 89.31 254 | 56.84 272 | 61.83 323 | 87.17 257 |
|
DTE-MVSNet | | | 76.99 204 | 76.80 190 | 77.54 262 | 86.24 205 | 53.06 316 | 87.52 143 | 90.66 127 | 77.08 53 | 72.50 233 | 88.67 151 | 60.48 171 | 89.52 250 | 57.33 269 | 70.74 303 | 90.05 181 |
|
DU-MVS | | | 81.12 112 | 80.52 110 | 82.90 157 | 87.80 173 | 63.46 207 | 87.02 156 | 91.87 92 | 79.01 26 | 78.38 132 | 89.07 142 | 65.02 110 | 93.05 166 | 70.05 160 | 76.46 248 | 92.20 110 |
|
UniMVSNet (Re) | | | 81.60 104 | 81.11 102 | 83.09 147 | 88.38 157 | 64.41 188 | 87.60 141 | 93.02 41 | 78.42 31 | 78.56 128 | 88.16 166 | 69.78 67 | 93.26 154 | 69.58 166 | 76.49 247 | 91.60 123 |
|
CP-MVSNet | | | 78.22 178 | 78.34 154 | 77.84 255 | 87.83 172 | 54.54 308 | 87.94 134 | 91.17 116 | 77.65 35 | 73.48 223 | 88.49 157 | 62.24 142 | 88.43 268 | 62.19 224 | 74.07 280 | 90.55 157 |
|
WR-MVS_H | | | 78.51 172 | 78.49 148 | 78.56 245 | 88.02 167 | 56.38 296 | 88.43 113 | 92.67 59 | 77.14 50 | 73.89 221 | 87.55 179 | 66.25 97 | 89.24 255 | 58.92 253 | 73.55 287 | 90.06 180 |
|
WR-MVS | | | 79.49 148 | 79.22 137 | 80.27 217 | 88.79 144 | 58.35 264 | 85.06 206 | 88.61 193 | 78.56 29 | 77.65 147 | 88.34 161 | 63.81 118 | 90.66 235 | 64.98 205 | 77.22 237 | 91.80 122 |
|
NR-MVSNet | | | 80.23 135 | 79.38 132 | 82.78 166 | 87.80 173 | 63.34 210 | 86.31 178 | 91.09 120 | 79.01 26 | 72.17 238 | 89.07 142 | 67.20 89 | 92.81 176 | 66.08 196 | 75.65 259 | 92.20 110 |
|
Baseline_NR-MVSNet | | | 78.15 182 | 78.33 155 | 77.61 260 | 85.79 210 | 56.21 299 | 86.78 165 | 85.76 236 | 73.60 125 | 77.93 143 | 87.57 178 | 65.02 110 | 88.99 259 | 67.14 188 | 75.33 268 | 87.63 245 |
|
TranMVSNet+NR-MVSNet | | | 80.84 116 | 80.31 114 | 82.42 172 | 87.85 171 | 62.33 225 | 87.74 139 | 91.33 110 | 80.55 11 | 77.99 142 | 89.86 120 | 65.23 108 | 92.62 177 | 67.05 189 | 75.24 272 | 92.30 106 |
|
TSAR-MVS + GP. | | | 85.71 52 | 85.33 54 | 86.84 49 | 91.34 79 | 72.50 35 | 89.07 93 | 87.28 218 | 76.41 69 | 85.80 37 | 90.22 114 | 74.15 33 | 95.37 71 | 81.82 62 | 91.88 73 | 92.65 98 |
|
abl_6 | | | 85.23 59 | 84.95 62 | 86.07 65 | 92.23 69 | 70.48 76 | 90.80 49 | 92.08 79 | 73.51 128 | 85.26 41 | 94.16 35 | 62.75 132 | 95.92 51 | 82.46 60 | 91.30 81 | 91.81 121 |
|
n2 | | | | | | | | | 0.00 357 | | | | | | | | |
|
nn | | | | | | | | | 0.00 357 | | | | | | | | |
|
mPP-MVS | | | 86.67 40 | 86.32 42 | 87.72 28 | 94.41 21 | 73.55 11 | 92.74 16 | 92.22 74 | 76.87 58 | 82.81 82 | 94.25 32 | 66.44 95 | 96.24 37 | 82.88 56 | 94.28 56 | 93.38 71 |
|
door-mid | | | | | | | | | 69.98 332 | | | | | | | | |
|
XVG-OURS-SEG-HR | | | 80.81 119 | 79.76 123 | 83.96 123 | 85.60 214 | 68.78 106 | 83.54 243 | 90.50 132 | 70.66 169 | 76.71 167 | 91.66 79 | 60.69 167 | 91.26 219 | 76.94 104 | 81.58 193 | 91.83 119 |
|
DWT-MVSNet_test | | | 73.70 242 | 71.86 246 | 79.21 237 | 82.91 264 | 58.94 259 | 82.34 254 | 82.17 276 | 65.21 243 | 71.05 249 | 78.31 309 | 44.21 294 | 90.17 241 | 63.29 216 | 77.28 235 | 88.53 231 |
|
MVSFormer | | | 82.85 86 | 82.05 90 | 85.24 76 | 87.35 185 | 70.21 78 | 90.50 55 | 90.38 135 | 68.55 211 | 81.32 98 | 89.47 131 | 61.68 148 | 93.46 148 | 78.98 82 | 90.26 92 | 92.05 115 |
|
jason | | | 81.39 108 | 80.29 115 | 84.70 94 | 86.63 202 | 69.90 85 | 85.95 187 | 86.77 223 | 63.24 263 | 81.07 104 | 89.47 131 | 61.08 162 | 92.15 194 | 78.33 90 | 90.07 97 | 92.05 115 |
jason: jason. |
lupinMVS | | | 81.39 108 | 80.27 116 | 84.76 93 | 87.35 185 | 70.21 78 | 85.55 197 | 86.41 227 | 62.85 269 | 81.32 98 | 88.61 153 | 61.68 148 | 92.24 191 | 78.41 89 | 90.26 92 | 91.83 119 |
|
test_djsdf | | | 80.30 134 | 79.32 134 | 83.27 138 | 83.98 240 | 65.37 171 | 90.50 55 | 90.38 135 | 68.55 211 | 76.19 179 | 88.70 149 | 56.44 198 | 93.46 148 | 78.98 82 | 80.14 212 | 90.97 142 |
|
HPM-MVS_fast | | | 85.35 58 | 84.95 62 | 86.57 57 | 93.69 40 | 70.58 75 | 92.15 30 | 91.62 100 | 73.89 120 | 82.67 84 | 94.09 38 | 62.60 133 | 95.54 61 | 80.93 68 | 92.93 64 | 93.57 65 |
|
RRT_test8_iter05 | | | 78.38 175 | 77.40 177 | 81.34 194 | 86.00 208 | 58.86 260 | 86.55 173 | 91.26 112 | 72.13 147 | 75.91 184 | 87.42 183 | 44.97 290 | 93.73 138 | 77.02 103 | 75.30 269 | 91.45 131 |
|
K. test v3 | | | 71.19 262 | 68.51 269 | 79.21 237 | 83.04 260 | 57.78 276 | 84.35 227 | 76.91 316 | 72.90 137 | 62.99 312 | 82.86 272 | 39.27 317 | 91.09 227 | 61.65 231 | 52.66 335 | 88.75 225 |
|
lessismore_v0 | | | | | 78.97 239 | 81.01 296 | 57.15 283 | | 65.99 339 | | 61.16 316 | 82.82 273 | 39.12 318 | 91.34 218 | 59.67 245 | 46.92 338 | 88.43 233 |
|
SixPastTwentyTwo | | | 73.37 244 | 71.26 253 | 79.70 226 | 85.08 225 | 57.89 273 | 85.57 193 | 83.56 259 | 71.03 162 | 65.66 296 | 85.88 227 | 42.10 306 | 92.57 179 | 59.11 251 | 63.34 322 | 88.65 228 |
|
OurMVSNet-221017-0 | | | 74.26 236 | 72.42 242 | 79.80 225 | 83.76 244 | 59.59 256 | 85.92 189 | 86.64 224 | 66.39 231 | 66.96 285 | 87.58 177 | 39.46 316 | 91.60 209 | 65.76 199 | 69.27 307 | 88.22 235 |
|
HPM-MVS | | | 87.11 33 | 86.98 33 | 87.50 37 | 93.88 35 | 72.16 45 | 92.19 28 | 93.33 31 | 76.07 79 | 83.81 69 | 93.95 43 | 69.77 68 | 96.01 47 | 85.15 27 | 94.66 46 | 94.32 27 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
XVG-OURS | | | 80.41 131 | 79.23 136 | 83.97 122 | 85.64 213 | 69.02 100 | 83.03 250 | 90.39 134 | 71.09 161 | 77.63 148 | 91.49 87 | 54.62 210 | 91.35 217 | 75.71 113 | 83.47 171 | 91.54 125 |
|
XVG-ACMP-BASELINE | | | 76.11 219 | 74.27 225 | 81.62 185 | 83.20 254 | 64.67 182 | 83.60 241 | 89.75 155 | 69.75 185 | 71.85 241 | 87.09 194 | 32.78 332 | 92.11 195 | 69.99 162 | 80.43 208 | 88.09 237 |
|
LPG-MVS_test | | | 82.08 94 | 81.27 99 | 84.50 98 | 89.23 127 | 68.76 107 | 90.22 66 | 91.94 88 | 75.37 90 | 76.64 169 | 91.51 85 | 54.29 211 | 94.91 87 | 78.44 87 | 83.78 164 | 89.83 191 |
|
LGP-MVS_train | | | | | 84.50 98 | 89.23 127 | 68.76 107 | | 91.94 88 | 75.37 90 | 76.64 169 | 91.51 85 | 54.29 211 | 94.91 87 | 78.44 87 | 83.78 164 | 89.83 191 |
|
baseline | | | 84.93 64 | 84.98 60 | 84.80 92 | 87.30 190 | 65.39 170 | 87.30 149 | 92.88 50 | 77.62 36 | 84.04 66 | 92.26 70 | 71.81 48 | 93.96 120 | 81.31 65 | 90.30 91 | 95.03 4 |
|
test11 | | | | | | | | | 92.23 73 | | | | | | | | |
|
door | | | | | | | | | 69.44 335 | | | | | | | | |
|
EPNet_dtu | | | 75.46 227 | 74.86 216 | 77.23 267 | 82.57 272 | 54.60 307 | 86.89 160 | 83.09 269 | 71.64 151 | 66.25 294 | 85.86 228 | 55.99 199 | 88.04 273 | 54.92 278 | 86.55 138 | 89.05 211 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
CHOSEN 1792x2688 | | | 77.63 196 | 75.69 204 | 83.44 131 | 89.98 102 | 68.58 117 | 78.70 289 | 87.50 214 | 56.38 316 | 75.80 188 | 86.84 197 | 58.67 180 | 91.40 216 | 61.58 232 | 85.75 149 | 90.34 165 |
|
EPNet | | | 83.72 72 | 82.92 79 | 86.14 64 | 84.22 235 | 69.48 93 | 91.05 46 | 85.27 239 | 81.30 7 | 76.83 163 | 91.65 80 | 66.09 99 | 95.56 60 | 76.00 112 | 93.85 60 | 93.38 71 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
HQP5-MVS | | | | | | | 66.98 143 | | | | | | | | | | |
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HQP-NCC | | | | | | 89.33 119 | | 89.17 87 | | 76.41 69 | 77.23 157 | | | | | | |
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ACMP_Plane | | | | | | 89.33 119 | | 89.17 87 | | 76.41 69 | 77.23 157 | | | | | | |
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APD-MVS | | | 87.44 24 | 87.52 22 | 87.19 43 | 94.24 27 | 72.39 40 | 91.86 33 | 92.83 53 | 73.01 135 | 88.58 18 | 94.52 19 | 73.36 35 | 96.49 32 | 84.26 39 | 95.01 37 | 92.70 94 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
BP-MVS | | | | | | | | | | | | | | | 77.47 97 | | |
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HQP4-MVS | | | | | | | | | | | 77.24 156 | | | 95.11 78 | | | 91.03 139 |
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HQP3-MVS | | | | | | | | | 92.19 76 | | | | | | | 85.99 146 | |
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HQP2-MVS | | | | | | | | | | | | | 60.17 175 | | | | |
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CNVR-MVS | | | 88.93 7 | 89.13 7 | 88.33 5 | 94.77 9 | 73.82 7 | 90.51 54 | 93.00 42 | 80.90 9 | 88.06 23 | 94.06 39 | 76.43 12 | 96.84 16 | 88.48 10 | 95.99 14 | 94.34 26 |
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NCCC | | | 88.06 12 | 88.01 17 | 88.24 8 | 94.41 21 | 73.62 9 | 91.22 44 | 92.83 53 | 81.50 6 | 85.79 38 | 93.47 51 | 73.02 40 | 97.00 13 | 84.90 29 | 94.94 39 | 94.10 34 |
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114514_t | | | 80.68 125 | 79.51 128 | 84.20 110 | 94.09 34 | 67.27 139 | 89.64 80 | 91.11 119 | 58.75 303 | 74.08 220 | 90.72 105 | 58.10 183 | 95.04 83 | 69.70 164 | 89.42 103 | 90.30 166 |
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CP-MVS | | | 87.11 33 | 86.92 34 | 87.68 33 | 94.20 29 | 73.86 6 | 93.98 1 | 92.82 56 | 76.62 66 | 83.68 70 | 94.46 23 | 67.93 81 | 95.95 50 | 84.20 41 | 94.39 53 | 93.23 77 |
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DSMNet-mixed | | | 57.77 306 | 56.90 307 | 60.38 321 | 67.70 340 | 35.61 343 | 69.18 326 | 53.97 345 | 32.30 342 | 57.49 327 | 79.88 301 | 40.39 315 | 68.57 341 | 38.78 333 | 72.37 292 | 76.97 330 |
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tpm2 | | | 73.26 247 | 71.46 249 | 78.63 243 | 83.34 250 | 56.71 290 | 80.65 269 | 80.40 295 | 56.63 315 | 73.55 222 | 82.02 283 | 51.80 237 | 91.24 220 | 56.35 274 | 78.42 228 | 87.95 238 |
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NP-MVS | | | | | | 89.62 108 | 68.32 120 | | | | | 90.24 112 | | | | | |
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EG-PatchMatch MVS | | | 74.04 239 | 71.82 247 | 80.71 209 | 84.92 226 | 67.42 135 | 85.86 190 | 88.08 201 | 66.04 235 | 64.22 306 | 83.85 259 | 35.10 330 | 92.56 180 | 57.44 267 | 80.83 200 | 82.16 316 |
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tpm cat1 | | | 70.57 267 | 68.31 271 | 77.35 264 | 82.41 276 | 57.95 272 | 78.08 294 | 80.22 298 | 52.04 327 | 68.54 274 | 77.66 315 | 52.00 232 | 87.84 275 | 51.77 288 | 72.07 296 | 86.25 273 |
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SteuartSystems-ACMMP | | | 88.72 8 | 88.86 8 | 88.32 6 | 92.14 70 | 72.96 24 | 93.73 3 | 93.67 19 | 80.19 14 | 88.10 22 | 94.80 13 | 73.76 34 | 97.11 9 | 87.51 14 | 95.82 19 | 94.90 6 |
Skip Steuart: Steuart Systems R&D Blog. |
CostFormer | | | 75.24 231 | 73.90 228 | 79.27 235 | 82.65 271 | 58.27 266 | 80.80 266 | 82.73 273 | 61.57 280 | 75.33 202 | 83.13 269 | 55.52 200 | 91.07 228 | 64.98 205 | 78.34 229 | 88.45 232 |
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CR-MVSNet | | | 73.37 244 | 71.27 252 | 79.67 228 | 81.32 293 | 65.19 174 | 75.92 304 | 80.30 296 | 59.92 292 | 72.73 231 | 81.19 286 | 52.50 222 | 86.69 282 | 59.84 244 | 77.71 231 | 87.11 260 |
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JIA-IIPM | | | 66.32 294 | 62.82 301 | 76.82 270 | 77.09 324 | 61.72 235 | 65.34 334 | 75.38 319 | 58.04 306 | 64.51 304 | 62.32 334 | 42.05 307 | 86.51 285 | 51.45 291 | 69.22 308 | 82.21 315 |
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Patchmtry | | | 70.74 265 | 69.16 265 | 75.49 281 | 80.72 297 | 54.07 311 | 74.94 313 | 80.30 296 | 58.34 304 | 70.01 258 | 81.19 286 | 52.50 222 | 86.54 284 | 53.37 284 | 71.09 302 | 85.87 283 |
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PatchT | | | 68.46 283 | 67.85 278 | 70.29 307 | 80.70 298 | 43.93 337 | 72.47 317 | 74.88 321 | 60.15 290 | 70.55 250 | 76.57 319 | 49.94 256 | 81.59 309 | 50.58 293 | 74.83 275 | 85.34 286 |
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tpmrst | | | 72.39 255 | 72.13 244 | 73.18 296 | 80.54 300 | 49.91 328 | 79.91 277 | 79.08 305 | 63.11 264 | 71.69 243 | 79.95 300 | 55.32 201 | 82.77 306 | 65.66 200 | 73.89 283 | 86.87 263 |
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BH-w/o | | | 78.21 179 | 77.33 180 | 80.84 206 | 88.81 142 | 65.13 176 | 84.87 210 | 87.85 208 | 69.75 185 | 74.52 216 | 84.74 250 | 61.34 155 | 93.11 163 | 58.24 261 | 85.84 148 | 84.27 297 |
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tpm | | | 72.37 257 | 71.71 248 | 74.35 290 | 82.19 279 | 52.00 317 | 79.22 283 | 77.29 314 | 64.56 252 | 72.95 229 | 83.68 265 | 51.35 240 | 83.26 304 | 58.33 260 | 75.80 257 | 87.81 242 |
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DELS-MVS | | | 85.41 57 | 85.30 56 | 85.77 68 | 88.49 152 | 67.93 128 | 85.52 201 | 93.44 27 | 78.70 28 | 83.63 73 | 89.03 144 | 74.57 24 | 95.71 57 | 80.26 76 | 94.04 59 | 93.66 56 |
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 |
BH-untuned | | | 79.47 149 | 78.60 146 | 82.05 177 | 89.19 129 | 65.91 159 | 86.07 185 | 88.52 194 | 72.18 144 | 75.42 196 | 87.69 175 | 61.15 160 | 93.54 145 | 60.38 240 | 86.83 134 | 86.70 268 |
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RPMNet | | | 71.62 259 | 68.94 267 | 79.67 228 | 81.32 293 | 65.19 174 | 75.92 304 | 78.30 308 | 57.60 309 | 72.73 231 | 76.45 320 | 52.30 225 | 86.69 282 | 48.14 309 | 77.71 231 | 87.11 260 |
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MVSTER | | | 79.01 161 | 77.88 165 | 82.38 173 | 83.07 258 | 64.80 180 | 84.08 234 | 88.95 182 | 69.01 203 | 78.69 125 | 87.17 192 | 54.70 208 | 92.43 183 | 74.69 120 | 80.57 205 | 89.89 189 |
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CPTT-MVS | | | 83.73 71 | 83.33 73 | 84.92 88 | 93.28 47 | 70.86 70 | 92.09 31 | 90.38 135 | 68.75 208 | 79.57 114 | 92.83 65 | 60.60 170 | 93.04 168 | 80.92 69 | 91.56 77 | 90.86 145 |
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GBi-Net | | | 78.40 173 | 77.40 177 | 81.40 191 | 87.60 180 | 63.01 217 | 88.39 117 | 89.28 165 | 71.63 152 | 75.34 199 | 87.28 185 | 54.80 204 | 91.11 222 | 62.72 218 | 79.57 215 | 90.09 176 |
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PVSNet_Blended_VisFu | | | 82.62 88 | 81.83 95 | 84.96 85 | 90.80 89 | 69.76 87 | 88.74 105 | 91.70 99 | 69.39 190 | 78.96 120 | 88.46 158 | 65.47 106 | 94.87 92 | 74.42 121 | 88.57 111 | 90.24 168 |
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PVSNet_BlendedMVS | | | 80.60 127 | 80.02 117 | 82.36 174 | 88.85 138 | 65.40 168 | 86.16 183 | 92.00 84 | 69.34 192 | 78.11 139 | 86.09 224 | 66.02 101 | 94.27 107 | 71.52 146 | 82.06 188 | 87.39 250 |
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UnsupCasMVSNet_eth | | | 67.33 287 | 65.99 289 | 71.37 301 | 73.48 333 | 51.47 322 | 75.16 309 | 85.19 240 | 65.20 244 | 60.78 317 | 80.93 293 | 42.35 303 | 77.20 325 | 57.12 270 | 53.69 334 | 85.44 285 |
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UnsupCasMVSNet_bld | | | 63.70 301 | 61.53 304 | 70.21 308 | 73.69 332 | 51.39 323 | 72.82 316 | 81.89 279 | 55.63 319 | 57.81 326 | 71.80 329 | 38.67 319 | 78.61 318 | 49.26 302 | 52.21 336 | 80.63 321 |
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PVSNet_Blended | | | 80.98 113 | 80.34 113 | 82.90 157 | 88.85 138 | 65.40 168 | 84.43 224 | 92.00 84 | 67.62 217 | 78.11 139 | 85.05 247 | 66.02 101 | 94.27 107 | 71.52 146 | 89.50 101 | 89.01 213 |
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FMVSNet5 | | | 69.50 276 | 67.96 276 | 74.15 292 | 82.97 263 | 55.35 305 | 80.01 275 | 82.12 278 | 62.56 273 | 63.02 310 | 81.53 285 | 36.92 325 | 81.92 308 | 48.42 304 | 74.06 281 | 85.17 289 |
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test1 | | | 78.40 173 | 77.40 177 | 81.40 191 | 87.60 180 | 63.01 217 | 88.39 117 | 89.28 165 | 71.63 152 | 75.34 199 | 87.28 185 | 54.80 204 | 91.11 222 | 62.72 218 | 79.57 215 | 90.09 176 |
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new_pmnet | | | 50.91 310 | 50.29 311 | 52.78 325 | 68.58 339 | 34.94 345 | 63.71 336 | 56.63 344 | 39.73 336 | 44.95 337 | 65.47 332 | 21.93 340 | 58.48 343 | 34.98 336 | 56.62 331 | 64.92 336 |
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FMVSNet3 | | | 77.88 190 | 76.85 189 | 80.97 204 | 86.84 198 | 62.36 224 | 86.52 174 | 88.77 186 | 71.13 159 | 75.34 199 | 86.66 208 | 54.07 214 | 91.10 225 | 62.72 218 | 79.57 215 | 89.45 201 |
|
dp | | | 66.80 289 | 65.43 290 | 70.90 306 | 79.74 311 | 48.82 331 | 75.12 311 | 74.77 322 | 59.61 294 | 64.08 307 | 77.23 316 | 42.89 300 | 80.72 312 | 48.86 303 | 66.58 316 | 83.16 308 |
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FMVSNet2 | | | 78.20 180 | 77.21 181 | 81.20 198 | 87.60 180 | 62.89 221 | 87.47 145 | 89.02 177 | 71.63 152 | 75.29 203 | 87.28 185 | 54.80 204 | 91.10 225 | 62.38 222 | 79.38 219 | 89.61 198 |
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FMVSNet1 | | | 77.44 198 | 76.12 203 | 81.40 191 | 86.81 199 | 63.01 217 | 88.39 117 | 89.28 165 | 70.49 172 | 74.39 217 | 87.28 185 | 49.06 267 | 91.11 222 | 60.91 237 | 78.52 225 | 90.09 176 |
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N_pmnet | | | 52.79 309 | 53.26 309 | 51.40 326 | 78.99 317 | 7.68 353 | 69.52 324 | 3.89 353 | 51.63 329 | 57.01 328 | 74.98 324 | 40.83 312 | 65.96 342 | 37.78 334 | 64.67 320 | 80.56 323 |
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cascas | | | 76.72 209 | 74.64 218 | 82.99 153 | 85.78 211 | 65.88 160 | 82.33 255 | 89.21 170 | 60.85 285 | 72.74 230 | 81.02 290 | 47.28 274 | 93.75 136 | 67.48 182 | 85.02 151 | |