This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MSC_two_6792asdad100.00 1100.00 1100.00 199.42 130100.00 1100.00 1100.00 1100.00 1
No_MVS100.00 1100.00 1100.00 199.42 130100.00 1100.00 1100.00 1100.00 1
OPU-MVS100.00 1100.00 1100.00 1100.00 1100.00 199.54 26100.00 1100.00 1100.00 1100.00 1
DPM-MVS99.63 6399.51 73100.00 199.90 122100.00 1100.00 199.43 12299.00 25100.00 1100.00 199.58 22100.00 197.64 255100.00 1100.00 1
DVP-MVS++99.81 1199.75 15100.00 1100.00 199.99 5100.00 199.42 13098.79 48100.00 1100.00 199.54 26100.00 1100.00 1100.00 1100.00 1
test_one_0601100.00 199.99 599.42 13098.72 52100.00 1100.00 199.60 17
SED-MVS99.83 799.77 10100.00 1100.00 199.99 5100.00 199.42 13099.03 19100.00 1100.00 199.50 38100.00 1100.00 1100.00 1100.00 1
IU-MVS100.00 199.99 599.42 13099.12 6100.00 1100.00 1100.00 1100.00 1
test_241102_ONE100.00 199.99 599.42 13099.03 19100.00 1100.00 199.50 38100.00 1
DVP-MVScopyleft99.83 799.78 7100.00 1100.00 199.99 5100.00 199.42 13099.04 14100.00 1100.00 199.53 29100.00 1100.00 1100.00 1100.00 1
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_SECOND100.00 199.99 5999.99 5100.00 199.42 130100.00 1100.00 1100.00 1100.00 1
test0726100.00 199.99 5100.00 199.42 13099.04 14100.00 1100.00 199.53 29
test_part2100.00 199.99 5100.00 1
MCST-MVS99.85 399.80 4100.00 1100.00 199.99 5100.00 199.73 5799.19 5100.00 1100.00 199.31 65100.00 1100.00 1100.00 1100.00 1
CNVR-MVS99.85 399.80 4100.00 1100.00 199.99 5100.00 199.77 4799.07 9100.00 1100.00 199.39 58100.00 1100.00 1100.00 1100.00 1
NCCC99.86 299.82 3100.00 1100.00 199.99 5100.00 199.71 6399.07 9100.00 1100.00 199.59 20100.00 1100.00 1100.00 1100.00 1
ZD-MVS100.00 199.98 1799.80 4297.31 173100.00 1100.00 199.32 6399.99 94100.00 1100.00 1
testtj99.70 4099.61 4999.99 12100.00 199.98 17100.00 199.53 7197.71 128100.00 1100.00 199.23 78100.00 1100.00 1100.00 1100.00 1
DPE-MVScopyleft99.79 1599.73 1899.99 1299.99 5999.98 17100.00 199.42 13098.91 36100.00 1100.00 199.22 80100.00 1100.00 1100.00 1100.00 1
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
HPM-MVS++copyleft99.82 999.76 1399.99 1299.99 5999.98 17100.00 199.83 3898.88 3899.96 118100.00 199.21 82100.00 1100.00 1100.00 199.99 110
APDe-MVS99.84 699.78 799.99 12100.00 199.98 17100.00 199.44 11299.06 11100.00 1100.00 199.56 2399.99 94100.00 1100.00 1100.00 1
FOURS1100.00 199.97 22100.00 199.42 13098.52 62100.00 1
CHOSEN 280x42099.85 399.87 199.80 10799.99 5999.97 2299.97 22399.98 1698.96 28100.00 1100.00 199.96 599.42 237100.00 1100.00 1100.00 1
CDPH-MVS99.73 3099.64 4099.99 12100.00 199.97 22100.00 199.42 13098.02 99100.00 1100.00 199.32 6399.99 94100.00 1100.00 1100.00 1
TSAR-MVS + MP.99.82 999.77 1099.99 12100.00 199.96 25100.00 199.43 12299.05 13100.00 1100.00 199.45 4799.99 94100.00 1100.00 1100.00 1
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
新几何199.99 12100.00 199.96 2599.81 4197.89 113100.00 1100.00 199.20 83100.00 197.91 248100.00 1100.00 1
112199.63 6399.51 7399.99 1299.99 5999.96 2599.24 32699.74 5597.89 113100.00 1100.00 199.39 58100.00 199.33 174100.00 1100.00 1
SD-MVS99.81 1199.75 1599.99 1299.99 5999.96 25100.00 199.42 13099.01 24100.00 1100.00 199.33 60100.00 1100.00 1100.00 1100.00 1
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
MSLP-MVS++99.89 199.85 299.99 12100.00 199.96 25100.00 199.95 1899.11 7100.00 1100.00 199.60 17100.00 1100.00 1100.00 1100.00 1
APD-MVScopyleft99.68 4899.58 5699.97 3499.99 5999.96 25100.00 199.42 13097.53 152100.00 1100.00 199.27 7599.97 123100.00 1100.00 1100.00 1
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PAPM_NR99.74 2799.66 3599.99 12100.00 199.96 25100.00 199.47 8097.87 116100.00 1100.00 199.60 17100.00 1100.00 1100.00 1100.00 1
PAPR99.76 2099.68 2799.99 12100.00 199.96 25100.00 199.47 8098.16 86100.00 1100.00 199.51 33100.00 1100.00 1100.00 1100.00 1
DeepC-MVS_fast98.92 199.75 2299.67 3299.99 1299.99 5999.96 2599.73 27399.52 7299.06 11100.00 1100.00 198.80 126100.00 199.95 96100.00 1100.00 1
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SR-MVS99.68 4899.58 5699.98 25100.00 199.95 34100.00 199.64 6697.59 144100.00 1100.00 198.99 10299.99 94100.00 1100.00 1100.00 1
TEST9100.00 199.95 34100.00 199.42 13097.65 134100.00 1100.00 199.53 2999.97 123
train_agg99.71 3699.63 4499.97 34100.00 199.95 34100.00 199.42 13097.70 129100.00 1100.00 199.51 3399.97 123100.00 1100.00 1100.00 1
canonicalmvs99.03 12598.73 14899.94 7699.75 15699.95 34100.00 199.30 23397.64 136100.00 1100.00 195.22 22099.97 12399.76 12496.90 23199.91 144
MVS99.22 11498.96 12399.98 2599.00 26999.95 3499.24 32699.94 2198.14 8998.88 227100.00 195.63 215100.00 199.85 109100.00 1100.00 1
SteuartSystems-ACMMP99.78 1799.71 2199.98 2599.76 15499.95 34100.00 199.42 13098.69 53100.00 1100.00 199.52 3299.99 94100.00 1100.00 1100.00 1
Skip Steuart: Steuart Systems R&D Blog.
DP-MVS Recon99.76 2099.69 2499.98 25100.00 199.95 34100.00 199.52 7297.99 10199.99 105100.00 199.72 12100.00 199.96 90100.00 1100.00 1
PAPM99.78 1799.76 1399.85 9699.01 26599.95 34100.00 199.75 5299.37 399.99 105100.00 199.76 1199.60 198100.00 1100.00 1100.00 1
Regformer-199.75 2299.68 2799.98 25100.00 199.94 42100.00 199.44 11298.43 65100.00 1100.00 199.23 7899.99 9499.99 64100.00 1100.00 1
Regformer-299.75 2299.68 2799.97 34100.00 199.94 42100.00 199.44 11298.42 67100.00 1100.00 199.22 8099.99 9499.99 64100.00 1100.00 1
XVS99.79 1599.73 1899.98 25100.00 199.94 42100.00 199.75 5298.67 55100.00 1100.00 199.16 86100.00 1100.00 1100.00 1100.00 1
X-MVStestdata97.04 23796.06 26499.98 25100.00 199.94 42100.00 199.75 5298.67 55100.00 166.97 38099.16 86100.00 1100.00 1100.00 1100.00 1
MP-MVScopyleft99.61 6999.49 7799.98 2599.99 5999.94 42100.00 199.42 13097.82 11999.99 105100.00 198.20 146100.00 199.99 64100.00 1100.00 1
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
xxxxxxxxxxxxxcwj99.77 1999.70 2299.97 3499.99 5999.93 47100.00 199.31 23098.93 33100.00 1100.00 199.05 9499.99 94100.00 1100.00 1100.00 1
ETH3 D test640099.68 4899.59 5299.97 3499.99 5999.93 47100.00 199.42 13097.97 105100.00 1100.00 198.90 11699.99 94100.00 1100.00 1100.00 1
save fliter99.99 5999.93 47100.00 199.42 13098.93 33
SMA-MVScopyleft99.69 4499.59 5299.98 2599.99 5999.93 47100.00 199.43 12297.50 156100.00 1100.00 199.43 52100.00 1100.00 1100.00 1100.00 1
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
test_prior499.93 47100.00 1
WTY-MVS99.54 7499.40 8099.95 6199.81 13499.93 47100.00 1100.00 197.98 10399.84 159100.00 198.94 11199.98 11899.86 10798.21 19599.94 130
HY-MVS96.53 999.50 7999.35 9099.96 4999.81 13499.93 4799.64 285100.00 197.97 10599.84 15999.85 22598.94 11199.99 9499.86 10798.23 19499.95 125
MP-MVS-pluss99.61 6999.50 7599.97 3499.98 9999.92 54100.00 199.42 13097.53 15299.77 173100.00 198.77 127100.00 199.99 64100.00 199.99 110
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP99.67 5399.57 5999.97 3499.98 9999.92 54100.00 199.42 13097.83 118100.00 1100.00 198.89 118100.00 199.98 81100.00 1100.00 1
alignmvs99.38 9099.21 10499.91 8299.73 15799.92 54100.00 199.51 7697.61 140100.00 1100.00 199.06 9399.93 15699.83 11297.12 22599.90 153
SR-MVS-dyc-post99.63 6399.52 7299.97 3499.99 5999.91 57100.00 199.42 13097.62 138100.00 1100.00 198.65 13299.99 9499.99 64100.00 1100.00 1
RE-MVS-def99.55 6699.99 5999.91 57100.00 199.42 13097.62 138100.00 1100.00 198.94 11199.99 64100.00 1100.00 1
zzz-MVS99.68 4899.59 5299.97 3499.99 5999.91 57100.00 199.42 13098.32 7999.94 142100.00 198.65 132100.00 199.96 90100.00 1100.00 1
MTAPA99.68 4899.59 5299.97 3499.99 5999.91 57100.00 199.42 13098.32 7999.94 142100.00 198.65 132100.00 199.96 90100.00 1100.00 1
test_8100.00 199.91 57100.00 199.42 13097.70 129100.00 1100.00 199.51 3399.98 118
APD-MVS_3200maxsize99.65 5799.55 6699.97 3499.99 5999.91 57100.00 199.48 7997.54 150100.00 1100.00 198.97 10599.99 9499.98 81100.00 1100.00 1
mPP-MVS99.69 4499.60 5199.97 34100.00 199.91 57100.00 199.42 13097.91 112100.00 1100.00 199.04 97100.00 1100.00 1100.00 1100.00 1
MG-MVS99.75 2299.68 2799.97 34100.00 199.91 5799.98 21799.47 8099.09 8100.00 1100.00 198.59 137100.00 199.95 96100.00 1100.00 1
test117299.64 5999.53 6899.96 49100.00 199.90 65100.00 199.51 7697.59 144100.00 1100.00 198.65 13299.99 9499.99 64100.00 1100.00 1
ZNCC-MVS99.71 3699.62 4899.97 3499.99 5999.90 65100.00 199.79 4497.97 10599.97 114100.00 198.97 105100.00 199.94 98100.00 1100.00 1
test_yl99.51 7699.37 8699.95 6199.82 13099.90 65100.00 199.47 8097.48 157100.00 1100.00 199.80 6100.00 199.98 8197.75 21799.94 130
DCV-MVSNet99.51 7699.37 8699.95 6199.82 13099.90 65100.00 199.47 8097.48 157100.00 1100.00 199.80 6100.00 199.98 8197.75 21799.94 130
region2R99.72 3399.64 4099.97 34100.00 199.90 65100.00 199.74 5597.86 117100.00 1100.00 199.19 84100.00 199.99 64100.00 1100.00 1
test22299.99 5999.90 65100.00 199.69 6497.66 133100.00 1100.00 199.30 71100.00 1100.00 1
thres20099.27 10699.04 11599.96 4999.81 13499.90 65100.00 199.94 2197.31 17399.83 16199.96 20197.04 179100.00 199.62 15197.88 20899.98 112
3Dnovator95.63 1499.06 12198.76 14599.96 4998.86 28399.90 6599.98 21799.93 2998.95 3198.49 257100.00 192.91 252100.00 199.71 131100.00 1100.00 1
tfpn200view999.26 10899.03 11699.96 4999.81 13499.89 73100.00 199.94 2197.23 17899.83 16199.96 20197.04 179100.00 199.59 15297.85 21099.98 112
HFP-MVS99.74 2799.67 3299.96 49100.00 199.89 73100.00 199.76 4897.95 110100.00 1100.00 199.31 65100.00 199.99 64100.00 1100.00 1
#test#99.75 2299.68 2799.96 49100.00 199.89 73100.00 199.76 4898.07 96100.00 1100.00 199.31 65100.00 199.99 64100.00 1100.00 1
Regformer-399.73 3099.65 3699.96 49100.00 199.89 73100.00 199.44 11298.40 68100.00 1100.00 199.03 10099.97 12399.99 64100.00 1100.00 1
Regformer-499.73 3099.65 3699.95 61100.00 199.89 73100.00 199.44 11298.40 68100.00 1100.00 199.03 10099.97 12399.99 64100.00 1100.00 1
131499.38 9099.19 10899.96 4998.88 28099.89 7399.24 32699.93 2998.88 3898.79 238100.00 197.02 182100.00 1100.00 1100.00 1100.00 1
ACMMPR99.74 2799.67 3299.96 49100.00 199.89 73100.00 199.76 4897.95 110100.00 1100.00 199.29 72100.00 199.99 64100.00 1100.00 1
thres40099.26 10899.03 11699.95 6199.81 13499.89 73100.00 199.94 2197.23 17899.83 16199.96 20197.04 179100.00 199.59 15297.85 21099.97 117
test1299.95 6199.99 5999.89 7399.42 130100.00 199.24 7799.97 123100.00 1100.00 1
3Dnovator+95.58 1599.03 12598.71 15199.96 4998.99 27299.89 73100.00 199.51 7698.96 2898.32 265100.00 192.78 253100.00 199.87 106100.00 1100.00 1
agg_prior199.71 3699.63 4499.95 61100.00 199.88 83100.00 199.42 13097.72 125100.00 1100.00 199.51 3399.97 123100.00 1100.00 1100.00 1
agg_prior100.00 199.88 8399.42 130100.00 199.97 123
旧先验199.99 5999.88 8399.82 39100.00 199.27 75100.00 1100.00 1
thres100view90099.25 11199.01 11899.95 6199.81 13499.87 86100.00 199.94 2197.13 18499.83 16199.96 20197.01 183100.00 199.59 15297.85 21099.98 112
thres600view799.24 11399.00 11999.95 6199.81 13499.87 86100.00 199.94 2197.13 18499.83 16199.96 20197.01 183100.00 199.54 16097.77 21699.97 117
QAPM98.99 13398.66 15399.96 4999.01 26599.87 8699.88 24899.93 2997.99 10198.68 243100.00 193.17 247100.00 199.32 176100.00 1100.00 1
GST-MVS99.64 5999.53 6899.95 61100.00 199.86 89100.00 199.79 4497.72 12599.95 140100.00 198.39 143100.00 199.96 9099.99 113100.00 1
MSP-MVS99.81 1199.77 1099.94 76100.00 199.86 89100.00 199.42 13098.87 40100.00 1100.00 199.65 1599.96 137100.00 1100.00 1100.00 1
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
AdaColmapbinary99.44 8699.26 9799.95 61100.00 199.86 8999.70 27899.99 1398.53 6199.90 151100.00 195.34 217100.00 199.92 100100.00 1100.00 1
SF-MVS99.66 5599.57 5999.95 6199.99 5999.85 92100.00 199.42 13097.67 132100.00 1100.00 199.05 9499.99 94100.00 1100.00 1100.00 1
ETH3D-3000-0.199.66 5599.57 5999.95 6199.99 5999.85 92100.00 199.42 13097.58 146100.00 1100.00 199.12 9099.99 94100.00 1100.00 1100.00 1
PGM-MVS99.69 4499.61 4999.95 6199.99 5999.85 92100.00 199.58 6897.69 131100.00 1100.00 199.44 48100.00 199.79 118100.00 1100.00 1
CP-MVS99.67 5399.58 5699.95 61100.00 199.84 95100.00 199.42 13097.77 122100.00 1100.00 199.07 92100.00 1100.00 1100.00 1100.00 1
MVS_111021_HR99.71 3699.63 4499.93 7999.95 11099.83 96100.00 1100.00 198.89 37100.00 1100.00 197.85 15699.95 143100.00 1100.00 1100.00 1
ETH3D cwj APD-0.1699.63 6399.53 6899.94 7699.97 10399.82 97100.00 199.42 13097.39 164100.00 1100.00 198.98 10399.99 94100.00 1100.00 1100.00 1
PS-MVSNAJ99.64 5999.57 5999.85 9699.78 14999.81 9899.95 23299.42 13098.38 71100.00 1100.00 198.75 128100.00 199.88 10599.99 11399.74 209
OpenMVScopyleft95.20 1798.76 15298.41 17099.78 11398.89 27999.81 9899.99 19999.76 4898.02 9998.02 281100.00 191.44 265100.00 199.63 15099.97 12499.55 222
原ACMM199.93 79100.00 199.80 10099.66 6598.18 85100.00 1100.00 199.43 52100.00 199.50 164100.00 1100.00 1
HPM-MVS_fast99.60 7299.49 7799.91 8299.99 5999.78 101100.00 199.42 13097.09 186100.00 1100.00 198.95 10999.96 13799.98 81100.00 1100.00 1
test_part196.98 24196.36 25298.85 19799.78 14999.77 10299.63 28799.30 23392.74 33097.05 31399.52 28593.10 25099.02 25498.02 24288.10 33797.76 242
baseline198.91 14298.61 15899.81 10399.71 15899.77 10299.78 26099.44 11297.51 15598.81 23599.99 17698.25 14599.76 18698.60 21995.41 24199.89 158
CANet99.40 8899.24 10099.89 8899.99 5999.76 104100.00 199.73 5798.40 6899.78 172100.00 195.28 21899.96 137100.00 199.99 11399.96 120
abl_699.53 7599.40 8099.92 81100.00 199.76 104100.00 199.42 13097.21 181100.00 1100.00 198.12 149100.00 199.82 117100.00 1100.00 1
ET-MVSNet_ETH3D96.41 26495.48 29399.20 17799.81 13499.75 106100.00 199.02 33997.30 17578.33 370100.00 197.73 15997.94 34299.70 13387.41 34299.92 142
test_prior399.81 1199.78 799.90 85100.00 199.75 106100.00 199.73 5798.82 44100.00 1100.00 199.47 4499.97 123100.00 1100.00 1100.00 1
test_prior99.90 85100.00 199.75 10699.73 5799.97 123100.00 1
VNet99.04 12398.75 14799.90 8599.81 13499.75 10699.50 30399.47 8098.36 75100.00 199.99 17694.66 228100.00 199.90 10297.09 22699.96 120
xiu_mvs_v2_base99.51 7699.41 7999.82 10099.70 16099.73 11099.92 24099.40 18598.15 88100.00 1100.00 198.50 140100.00 199.85 10999.13 15799.74 209
CNLPA99.72 3399.65 3699.91 8299.97 10399.72 111100.00 199.47 8098.43 6599.88 156100.00 199.14 89100.00 199.97 88100.00 1100.00 1
xiu_mvs_v1_base_debu99.35 9399.21 10499.79 10999.67 16799.71 11299.78 26099.36 20898.13 90100.00 1100.00 197.00 186100.00 199.83 11299.07 15999.66 218
xiu_mvs_v1_base99.35 9399.21 10499.79 10999.67 16799.71 11299.78 26099.36 20898.13 90100.00 1100.00 197.00 186100.00 199.83 11299.07 15999.66 218
xiu_mvs_v1_base_debi99.35 9399.21 10499.79 10999.67 16799.71 11299.78 26099.36 20898.13 90100.00 1100.00 197.00 186100.00 199.83 11299.07 15999.66 218
LS3D99.31 10199.13 11299.87 9399.99 5999.71 11299.55 29699.46 9597.32 17199.82 169100.00 196.85 19399.97 12399.14 188100.00 199.92 142
HPM-MVScopyleft99.59 7399.50 7599.89 88100.00 199.70 116100.00 199.42 13097.46 159100.00 1100.00 198.60 13699.96 13799.99 64100.00 1100.00 1
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MVS_111021_LR99.70 4099.65 3699.88 9299.96 10999.70 116100.00 199.97 1798.96 28100.00 1100.00 197.93 15499.95 14399.99 64100.00 1100.00 1
MVSTER98.58 16598.52 16598.77 20199.65 17299.68 118100.00 199.29 23895.63 25798.65 24499.80 23799.78 898.88 27198.59 22095.31 24597.73 283
ACMMPcopyleft99.65 5799.57 5999.89 8899.99 5999.66 11999.75 26899.73 5798.16 8699.75 176100.00 198.90 116100.00 199.96 9099.88 134100.00 1
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
MAR-MVS99.49 8199.36 8899.89 8899.97 10399.66 11999.74 26999.95 1897.89 113100.00 1100.00 196.71 196100.00 1100.00 1100.00 1100.00 1
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
EI-MVSNet-UG-set99.69 4499.63 4499.87 9399.99 5999.64 12199.95 23299.44 11298.35 77100.00 1100.00 198.98 10399.97 12399.98 81100.00 1100.00 1
EI-MVSNet-Vis-set99.70 4099.64 4099.87 93100.00 199.64 12199.98 21799.44 11298.35 7799.99 105100.00 199.04 9799.96 13799.98 81100.00 1100.00 1
PVSNet_BlendedMVS98.71 15798.62 15798.98 18999.98 9999.60 123100.00 1100.00 197.23 178100.00 199.03 31396.57 19899.99 94100.00 194.75 26897.35 341
PVSNet_Blended99.48 8399.36 8899.83 9999.98 9999.60 123100.00 1100.00 197.79 121100.00 1100.00 196.57 19899.99 94100.00 199.88 13499.90 153
thisisatest051599.42 8799.31 9399.74 11799.59 18999.55 125100.00 199.46 9596.65 21699.92 148100.00 199.44 4899.85 17099.09 19299.63 15099.81 192
CPTT-MVS99.49 8199.38 8399.85 96100.00 199.54 126100.00 199.42 13097.58 14699.98 110100.00 197.43 175100.00 199.99 64100.00 1100.00 1
nrg03097.64 20897.27 22498.75 20298.34 29999.53 127100.00 199.22 26896.21 24198.27 27099.95 20994.40 23298.98 25999.23 18389.78 32497.75 254
test250699.48 8399.38 8399.75 11699.89 12499.51 12899.45 307100.00 198.38 7199.83 161100.00 198.86 11999.81 17999.25 18198.78 16699.94 130
LFMVS97.42 22096.62 24099.81 10399.80 14499.50 12999.16 34199.56 6994.48 291100.00 1100.00 179.35 356100.00 199.89 10497.37 22399.94 130
MVS_Test98.93 14198.65 15499.77 11599.62 18299.50 12999.99 19999.19 28195.52 26399.96 11899.86 22396.54 20099.98 11898.65 21398.48 17799.82 187
sss99.45 8599.34 9299.80 10799.76 15499.50 129100.00 199.91 3497.72 12599.98 11099.94 21398.45 141100.00 199.53 16298.75 16999.89 158
GG-mvs-BLEND99.59 13399.54 20099.49 13299.17 34099.52 7299.96 11899.68 255100.00 199.33 24399.71 13199.99 11399.96 120
MVSFormer98.94 14098.82 13899.28 17199.45 22799.49 132100.00 199.13 30495.46 26899.97 114100.00 196.76 19498.59 30098.63 216100.00 199.74 209
lupinMVS99.29 10499.16 11199.69 12199.45 22799.49 132100.00 199.15 29597.45 16099.97 114100.00 196.76 19499.76 18699.67 143100.00 199.81 192
PVSNet_Blended_VisFu99.33 9899.18 11099.78 11399.82 13099.49 132100.00 199.95 1897.36 16699.63 182100.00 196.45 20299.95 14399.79 11899.65 14899.89 158
114514_t99.39 8999.25 9899.81 10399.97 10399.48 136100.00 199.42 13095.53 261100.00 1100.00 198.37 14499.95 14399.97 88100.00 1100.00 1
DELS-MVS99.62 6799.56 6599.82 10099.92 11899.45 137100.00 199.78 4698.92 3599.73 177100.00 197.70 161100.00 199.93 99100.00 1100.00 1
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
DP-MVS98.86 14798.54 16499.81 10399.97 10399.45 13799.52 30199.40 18594.35 29598.36 261100.00 196.13 20499.97 12399.12 191100.00 1100.00 1
PHI-MVS99.50 7999.39 8299.82 100100.00 199.45 137100.00 199.94 2196.38 233100.00 1100.00 198.18 147100.00 1100.00 1100.00 1100.00 1
thisisatest053099.37 9299.27 9499.69 12199.59 18999.41 140100.00 199.46 9596.46 22799.90 151100.00 199.44 4899.85 17098.97 19599.58 15299.80 202
UA-Net99.06 12198.83 13799.74 11799.52 21099.40 14199.08 35199.45 10297.64 13699.83 161100.00 195.80 21099.94 15498.35 22999.80 14199.88 169
tttt051799.34 9699.23 10399.67 12399.57 19799.38 142100.00 199.46 9596.33 23799.89 154100.00 199.44 4899.84 17298.93 19799.46 15599.78 204
TESTMET0.1,199.08 11998.96 12399.44 15099.63 17999.38 142100.00 199.45 10295.53 26199.48 188100.00 199.71 1399.02 25496.84 27899.99 11399.91 144
IS-MVSNet99.08 11998.91 13199.59 13399.65 17299.38 14299.78 26099.24 26296.70 21099.51 186100.00 198.44 14299.52 22298.47 22498.39 18499.88 169
API-MVS99.72 3399.70 2299.79 10999.97 10399.37 14599.96 22799.94 2198.48 63100.00 1100.00 198.92 114100.00 1100.00 1100.00 1100.00 1
gg-mvs-nofinetune96.95 24296.10 26299.50 14499.41 23299.36 14699.07 35399.52 7283.69 36399.96 11883.60 377100.00 199.20 24799.68 14099.99 11399.96 120
ETV-MVS99.34 9699.24 10099.64 12699.58 19499.33 147100.00 199.25 25897.57 14899.96 118100.00 197.44 17499.79 18199.70 13399.65 14899.81 192
VPA-MVSNet97.03 23896.43 24898.82 19898.64 28999.32 14899.38 31599.47 8096.73 20798.91 22598.94 32287.00 31899.40 23899.23 18389.59 32597.76 242
jason99.11 11798.96 12399.59 13399.17 25199.31 149100.00 199.13 30497.38 16599.83 161100.00 195.54 21699.72 19299.57 15699.97 12499.74 209
jason: jason.
PatchMatch-RL99.02 12998.78 14299.74 11799.99 5999.29 150100.00 1100.00 198.38 7199.89 15499.81 23493.14 24999.99 9497.85 25099.98 12199.95 125
test-LLR99.03 12598.91 13199.40 15799.40 23799.28 151100.00 199.45 10296.70 21099.42 19299.12 30499.31 6599.01 25696.82 27999.99 11399.91 144
test-mter98.96 13798.82 13899.40 15799.40 23799.28 151100.00 199.45 10295.44 27099.42 19299.12 30499.70 1499.01 25696.82 27999.99 11399.91 144
Effi-MVS+98.58 16598.24 17999.61 12999.60 18699.26 15397.85 36699.10 31496.22 24099.97 11499.89 21993.75 23899.77 18599.43 16698.34 18799.81 192
HyFIR lowres test99.32 10099.24 10099.58 13799.95 11099.26 153100.00 199.99 1396.72 20899.29 20099.91 21799.49 4099.47 22999.74 12698.08 202100.00 1
FMVSNet397.30 22596.95 22998.37 22199.65 17299.25 15599.71 27699.28 24494.23 29698.53 25298.91 32493.30 24498.11 32995.31 30193.60 27897.73 283
MSDG98.90 14498.63 15699.70 12099.92 11899.25 155100.00 199.37 20295.71 25599.40 197100.00 196.58 19799.95 14396.80 28199.94 12999.91 144
FIs97.95 19797.73 20598.62 20698.53 29499.24 157100.00 199.43 12296.74 20597.87 28999.82 23195.27 21998.89 26898.78 20593.07 28497.74 277
mvs_anonymous98.80 15198.60 16099.38 16099.57 19799.24 157100.00 199.21 27695.87 24798.92 22399.82 23196.39 20399.03 25399.13 19098.50 17599.88 169
MDTV_nov1_ep13_2view99.24 15799.56 29596.31 23899.96 11898.86 11998.92 19899.89 158
iter_conf0598.73 15498.77 14398.60 20799.65 17299.22 160100.00 199.22 26896.68 21498.98 22199.97 18799.99 398.84 27399.29 17995.11 25997.75 254
EPMVS99.25 11199.13 11299.60 13199.60 18699.20 16199.60 292100.00 196.93 19499.92 14899.36 29599.05 9499.71 19398.77 20698.94 16399.90 153
BH-RMVSNet98.46 17398.08 18899.59 13399.61 18499.19 162100.00 199.28 24497.06 19098.95 222100.00 188.99 29699.82 17698.83 204100.00 199.77 205
iter_conf_final98.72 15598.76 14598.59 21099.64 17799.17 163100.00 199.22 26896.63 21999.02 21899.97 18799.98 498.84 27399.22 18595.18 25397.76 242
diffmvs98.96 13798.73 14899.63 12799.54 20099.16 164100.00 199.18 28897.33 17099.96 118100.00 194.60 22999.91 16099.66 14598.33 19099.82 187
baseline298.99 13398.93 12999.18 17899.26 24999.15 165100.00 199.46 9596.71 20996.79 322100.00 199.42 5499.25 24698.75 20899.94 12999.15 230
UniMVSNet (Re)97.29 22696.85 23298.59 21098.49 29599.13 166100.00 199.42 13096.52 22598.24 27498.90 32594.93 22498.89 26897.54 25887.61 34197.75 254
WR-MVS97.09 23396.64 23898.46 21598.43 29699.09 16799.97 22399.33 22395.62 25897.76 29199.67 25691.17 26998.56 30598.49 22389.28 32997.74 277
DROMVSNet99.19 11599.09 11499.48 14799.42 23099.07 168100.00 199.21 27696.95 19399.96 118100.00 196.88 19299.48 22799.64 14799.79 14299.88 169
F-COLMAP99.64 5999.64 4099.67 12399.99 5999.07 168100.00 199.44 11298.30 8199.90 151100.00 199.18 8599.99 9499.91 101100.00 199.94 130
Fast-Effi-MVS+98.40 17998.02 19399.55 14199.63 17999.06 170100.00 199.15 29595.07 27299.42 19299.95 20993.26 24599.73 19197.44 26198.24 19399.87 177
FC-MVSNet-test97.84 19997.63 20998.45 21698.30 30499.05 171100.00 199.43 12296.63 21997.61 30099.82 23195.19 22198.57 30398.64 21493.05 28597.73 283
miper_enhance_ethall98.33 18198.27 17798.51 21399.66 17199.04 172100.00 199.22 26897.53 15298.51 25599.38 29499.49 4098.75 28498.02 24292.61 28997.76 242
DeepC-MVS97.84 599.00 13198.80 14199.60 13199.93 11599.03 173100.00 199.40 18598.61 5999.33 198100.00 192.23 25999.95 14399.74 12699.96 12699.83 183
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
cascas98.43 17498.07 18999.50 14499.65 17299.02 174100.00 199.22 26894.21 29899.72 17899.98 17992.03 26299.93 15699.68 14098.12 20099.54 223
PCF-MVS98.23 398.69 15998.37 17499.62 12899.78 14999.02 17499.23 33299.06 33296.43 22898.08 277100.00 194.72 22799.95 14398.16 23799.91 13299.90 153
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
cl2298.23 18898.11 18698.58 21299.82 13099.01 176100.00 199.28 24496.92 19698.33 26499.21 30198.09 15298.97 26198.72 20992.61 28997.76 242
EPNet_dtu98.53 17098.23 18199.43 15299.92 11899.01 17699.96 22799.47 8098.80 4699.96 11899.96 20198.56 13899.30 24487.78 35499.68 145100.00 1
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CS-MVS99.33 9899.27 9499.50 14499.99 5999.00 178100.00 199.13 30497.26 17699.96 118100.00 197.79 15899.64 19799.64 14799.67 14699.87 177
ab-mvs98.42 17698.02 19399.61 12999.71 15899.00 17899.10 34899.64 6696.70 21099.04 21799.81 23490.64 27499.98 11899.64 14797.93 20699.84 180
NR-MVSNet96.63 25496.04 26598.38 22098.31 30298.98 18099.22 33499.35 21695.87 24794.43 34999.65 26092.73 25598.40 31596.78 28288.05 33897.75 254
PMMVS99.12 11698.97 12299.58 13799.57 19798.98 180100.00 199.30 23397.14 18399.96 118100.00 196.53 20199.82 17699.70 13398.49 17699.94 130
testdata99.66 12599.99 5998.97 18299.73 5797.96 109100.00 1100.00 199.42 54100.00 199.28 180100.00 1100.00 1
XXY-MVS97.14 23296.63 23998.67 20498.65 28898.92 18399.54 29999.29 23895.57 26097.63 29799.83 22887.79 31199.35 24298.39 22792.95 28697.75 254
Vis-MVSNet (Re-imp)98.99 13398.89 13599.29 16899.64 17798.89 18499.98 21799.31 23096.74 20599.48 188100.00 198.11 15099.10 25098.39 22798.34 18799.89 158
CR-MVSNet98.02 19597.71 20698.93 19199.31 24498.86 18599.13 34599.00 34296.53 22499.96 11898.98 31796.94 18998.10 33291.18 33698.40 18299.84 180
RPMNet95.26 30193.82 30799.56 14099.31 24498.86 18599.13 34599.42 13079.82 36699.96 11895.13 36295.69 21399.98 11877.54 37298.40 18299.84 180
PLCcopyleft98.56 299.70 4099.74 1799.58 137100.00 198.79 187100.00 199.54 7098.58 6099.96 118100.00 199.59 20100.00 1100.00 1100.00 199.94 130
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CS-MVS-test99.31 10199.27 9499.43 15299.99 5998.77 188100.00 199.19 28197.24 17799.96 118100.00 197.56 16799.70 19499.68 14099.81 14099.82 187
EIA-MVS99.26 10899.19 10899.45 14999.63 17998.75 189100.00 199.27 25296.93 19499.95 140100.00 197.47 17199.79 18199.74 12699.72 14499.82 187
Test_1112_low_res98.83 14998.60 16099.51 14299.69 16198.75 18999.99 19999.14 30096.81 20198.84 23299.06 30897.45 17299.89 16198.66 21197.75 21799.89 158
1112_ss98.91 14298.71 15199.51 14299.69 16198.75 18999.99 19999.15 29596.82 20098.84 232100.00 197.45 17299.89 16198.66 21197.75 21799.89 158
casdiffmvs98.65 16198.38 17299.46 14899.52 21098.74 192100.00 199.15 29596.91 19799.05 216100.00 192.75 25499.83 17399.70 13398.38 18599.81 192
tfpnnormal96.36 26995.69 28498.37 22198.55 29298.71 19399.69 28099.45 10293.16 32396.69 32699.71 24688.44 30698.99 25894.17 31491.38 31097.41 338
CANet_DTU99.02 12998.90 13499.41 15599.88 12698.71 193100.00 199.29 23898.84 41100.00 1100.00 194.02 236100.00 198.08 23999.96 12699.52 224
EPP-MVSNet99.10 11899.00 11999.40 15799.51 21598.68 19599.92 24099.43 12295.47 26799.65 181100.00 199.51 3399.76 18699.53 16298.00 20399.75 208
CP-MVSNet96.73 24996.25 25798.18 23598.21 31098.67 19699.77 26599.32 22595.06 27397.20 31199.65 26090.10 28298.19 32298.06 24188.90 33297.66 312
baseline98.69 15998.45 16999.41 15599.52 21098.67 196100.00 199.17 29397.03 19199.13 209100.00 193.17 24799.74 18999.70 13398.34 18799.81 192
pmmvs497.17 22996.80 23398.27 22897.68 33198.64 198100.00 199.18 28894.22 29798.55 25099.71 24693.67 23998.47 31295.66 29592.57 29297.71 299
JIA-IIPM97.09 23396.34 25499.36 16198.88 28098.59 19999.81 25599.43 12284.81 36199.96 11890.34 37098.55 13999.52 22297.00 27398.28 19299.98 112
Patchmtry96.81 24596.37 25198.14 24099.31 24498.55 20098.91 35699.00 34290.45 34397.92 28798.98 31796.94 18998.12 32794.27 31391.53 30697.75 254
UGNet98.41 17898.11 18699.31 16799.54 20098.55 20099.18 335100.00 198.64 5899.79 17199.04 31187.61 312100.00 199.30 17899.89 13399.40 227
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
Vis-MVSNetpermissive98.52 17198.25 17899.34 16399.68 16498.55 20099.68 28299.41 18297.34 16999.94 142100.00 190.38 28099.70 19499.03 19498.84 16499.76 207
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
mvsmamba98.13 19098.06 19098.32 22598.22 30998.50 203100.00 199.22 26896.41 23098.91 22599.96 20195.69 21398.73 28699.19 18794.95 26697.73 283
GeoE98.06 19297.65 20899.29 16899.47 22498.41 204100.00 199.19 28194.85 27798.88 227100.00 191.21 26799.59 20097.02 27298.19 19799.88 169
UniMVSNet_NR-MVSNet97.16 23096.80 23398.22 23298.38 29898.41 204100.00 199.45 10296.14 24297.76 29199.64 26495.05 22298.50 30997.98 24486.84 34597.75 254
DU-MVS96.93 24396.49 24598.22 23298.31 30298.41 204100.00 199.37 20296.41 23097.76 29199.65 26092.14 26098.50 30997.98 24486.84 34597.75 254
v2v48296.70 25296.18 25998.27 22898.04 31798.39 207100.00 199.13 30494.19 30098.58 24999.08 30790.48 27898.67 29095.69 29490.44 32097.75 254
ADS-MVSNet98.70 15898.51 16699.28 17199.51 21598.39 20799.24 32699.44 11295.52 26399.96 11899.70 24997.57 16599.58 20397.11 27098.54 17399.88 169
PatchT95.90 29194.95 30398.75 20299.03 26398.39 20799.08 35199.32 22585.52 35999.96 11894.99 36497.94 15398.05 33880.20 36898.47 17899.81 192
miper_ehance_all_eth97.81 20197.66 20798.23 23199.49 21998.37 21099.99 19999.11 31294.78 27898.25 27299.21 30198.18 14798.57 30397.35 26692.61 28997.76 242
EPNet99.62 6799.69 2499.42 15499.99 5998.37 210100.00 199.89 3598.83 42100.00 1100.00 198.97 105100.00 199.90 10299.61 15199.89 158
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MDTV_nov1_ep1398.94 12899.53 20398.36 21299.39 31499.46 9596.54 22399.99 10599.63 26898.92 11499.86 16598.30 23398.71 170
CDS-MVSNet98.96 13798.95 12799.01 18699.48 22198.36 21299.93 23999.37 20296.79 20299.31 19999.83 22899.77 1098.91 26598.07 24097.98 20499.77 205
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
FMVSNet296.22 27695.60 28798.06 25199.53 20398.33 21499.45 30799.27 25293.71 30698.03 27998.84 32784.23 33698.10 33293.97 31893.40 28197.73 283
PatchmatchNetpermissive99.03 12598.96 12399.26 17399.49 21998.33 21499.38 31599.45 10296.64 21799.96 11899.58 27799.49 4099.50 22597.63 25699.00 16299.93 140
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PVSNet94.91 1899.30 10399.25 9899.44 150100.00 198.32 216100.00 199.86 3798.04 98100.00 1100.00 196.10 205100.00 199.55 15799.73 143100.00 1
VPNet96.41 26495.76 27898.33 22498.61 29098.30 21799.48 30499.45 10296.98 19298.87 22999.88 22081.57 34998.93 26399.22 18587.82 34097.76 242
TR-MVS98.14 18997.74 20399.33 16499.59 18998.28 21899.27 32399.21 27696.42 22999.15 20899.94 21388.87 29999.79 18198.88 20098.29 19199.93 140
PS-CasMVS96.34 27195.78 27798.03 25898.18 31298.27 21999.71 27699.32 22594.75 27996.82 32199.65 26086.98 31998.15 32497.74 25288.85 33397.66 312
SCA98.30 18297.98 19599.23 17599.41 23298.25 22099.99 19999.45 10296.91 19799.76 17599.58 27789.65 28899.54 21698.31 23198.79 16599.91 144
v896.35 27095.73 28098.21 23498.11 31598.23 22199.94 23799.07 32492.66 33198.29 26799.00 31691.46 26498.77 28294.17 31488.83 33497.62 324
V4296.65 25396.16 26198.11 24598.17 31398.23 22199.99 19999.09 31993.97 30398.74 24099.05 31091.09 27098.82 27695.46 29989.90 32297.27 343
ECVR-MVScopyleft98.43 17498.14 18499.32 16699.89 12498.21 22399.46 305100.00 198.38 7199.47 191100.00 187.91 30799.80 18099.35 17298.78 16699.94 130
bld_raw_dy_0_6497.71 20697.56 21098.15 23997.83 32798.16 22499.95 23299.12 31095.95 24698.73 24199.97 18793.19 24698.63 29398.64 21494.69 27097.66 312
c3_l97.58 21297.42 21398.06 25199.48 22198.16 22499.96 22799.10 31494.54 28798.13 27699.20 30397.87 15598.25 32197.28 26791.20 31297.75 254
test111198.42 17698.12 18599.29 16899.88 12698.15 22699.46 305100.00 198.36 7599.42 192100.00 187.91 30799.79 18199.31 17798.78 16699.94 130
v119296.18 27895.49 29198.26 23098.01 31898.15 22699.99 19999.08 32093.36 31798.54 25198.97 32089.47 29198.89 26891.15 33790.82 31597.75 254
cl____97.54 21597.32 21998.18 23599.47 22498.14 228100.00 199.10 31494.16 30197.60 30199.63 26897.52 16898.65 29296.47 28691.97 30197.76 242
DIV-MVS_self_test97.52 21797.35 21898.05 25599.46 22698.11 229100.00 199.10 31494.21 29897.62 29999.63 26897.65 16298.29 31996.47 28691.98 30097.76 242
v14419296.40 26795.81 27498.17 23797.89 32498.11 22999.99 19999.06 33293.39 31698.75 23999.09 30690.43 27998.66 29193.10 32490.55 31997.75 254
IB-MVS96.24 1297.54 21596.95 22999.33 16499.67 16798.10 231100.00 199.47 8097.42 16399.26 20199.69 25198.83 12399.89 16199.43 16678.77 361100.00 1
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
test0.0.03 198.12 19198.03 19298.39 21999.11 25398.07 232100.00 199.93 2996.70 21096.91 31899.95 20999.31 6598.19 32291.93 33298.44 17998.91 233
anonymousdsp97.16 23096.88 23198.00 25997.08 35098.06 23399.81 25599.15 29594.58 28597.84 29099.62 27290.49 27798.60 29897.98 24495.32 24497.33 342
TSAR-MVS + GP.99.61 6999.69 2499.35 16299.99 5998.06 233100.00 199.36 20899.83 2100.00 1100.00 198.95 10999.99 94100.00 199.11 158100.00 1
v114496.51 25995.97 26998.13 24397.98 32098.04 23599.99 19999.08 32093.51 31498.62 24798.98 31790.98 27398.62 29493.79 32090.79 31697.74 277
test_djsdf97.55 21497.38 21698.07 24697.50 34097.99 236100.00 199.13 30495.46 26898.47 25899.85 22592.01 26398.59 30098.63 21695.36 24397.62 324
v192192096.16 28195.50 28998.14 24097.88 32697.96 23799.99 19999.07 32493.33 31898.60 24899.24 30089.37 29298.71 28891.28 33590.74 31797.75 254
v1096.14 28395.50 28998.07 24698.19 31197.96 23799.83 25299.07 32492.10 33498.07 27898.94 32291.07 27198.61 29692.41 33189.82 32397.63 322
eth_miper_zixun_eth97.47 21997.28 22198.06 25199.41 23297.94 23999.62 29099.08 32094.46 29298.19 27599.56 28196.91 19198.50 30996.78 28291.49 30797.74 277
GA-MVS97.72 20597.27 22499.06 18099.24 25097.93 240100.00 199.24 26295.80 25398.99 22099.64 26489.77 28699.36 24095.12 30597.62 22299.89 158
tpmvs98.59 16498.38 17299.23 17599.69 16197.90 24199.31 32199.47 8094.52 28899.68 18099.28 29997.64 16399.89 16197.71 25398.17 19999.89 158
IterMVS-LS97.56 21397.44 21297.92 26799.38 24197.90 24199.89 24699.10 31494.41 29398.32 26599.54 28497.21 17798.11 32997.50 25991.62 30597.75 254
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
TransMVSNet (Re)94.78 30493.72 30897.93 26698.34 29997.88 24399.23 33297.98 36591.60 33694.55 34699.71 24687.89 30998.36 31689.30 35184.92 35197.56 330
WR-MVS_H96.73 24996.32 25697.95 26398.26 30697.88 24399.72 27599.43 12295.06 27396.99 31598.68 33493.02 25198.53 30797.43 26288.33 33697.43 337
v124095.96 28995.25 29798.07 24697.91 32397.87 24599.96 22799.07 32493.24 32198.64 24698.96 32188.98 29798.61 29689.58 34990.92 31497.75 254
EI-MVSNet97.98 19697.93 19698.16 23899.11 25397.84 24699.74 26999.29 23894.39 29498.65 244100.00 197.21 17798.88 27197.62 25795.31 24597.75 254
KD-MVS_2432*160094.15 30893.08 31597.35 28499.53 20397.83 24799.63 28799.19 28192.88 32796.29 32997.68 35298.84 12196.70 35189.73 34763.92 37097.53 332
miper_refine_blended94.15 30893.08 31597.35 28499.53 20397.83 24799.63 28799.19 28192.88 32796.29 32997.68 35298.84 12196.70 35189.73 34763.92 37097.53 332
CHOSEN 1792x268899.00 13198.91 13199.25 17499.90 12297.79 249100.00 199.99 1398.79 4898.28 268100.00 193.63 24099.95 14399.66 14599.95 128100.00 1
bld_raw_conf00597.48 21897.28 22198.07 24698.12 31497.75 25099.55 29699.20 28096.37 23498.00 28499.96 20190.29 28198.73 28699.14 18894.93 26797.72 290
tpmrst98.98 13698.93 12999.14 17999.61 18497.74 25199.52 30199.36 20896.05 24399.98 11099.64 26499.04 9799.86 16598.94 19698.19 19799.82 187
TAMVS98.76 15298.73 14898.86 19699.44 22997.69 25299.57 29499.34 22196.57 22199.12 21099.81 23498.83 12399.16 24897.97 24797.91 20799.73 213
CVMVSNet98.56 16798.47 16898.82 19899.11 25397.67 25399.74 26999.47 8097.57 14899.06 215100.00 195.72 21298.97 26198.21 23697.33 22499.83 183
Patchmatch-test97.83 20097.42 21399.06 18099.08 25697.66 25498.66 35999.21 27693.65 31098.25 27299.58 27799.47 4499.57 20490.25 34598.59 17299.95 125
TranMVSNet+NR-MVSNet96.45 26396.01 26697.79 27198.00 31997.62 255100.00 199.35 21695.98 24497.31 30899.64 26490.09 28398.00 33996.89 27786.80 34897.75 254
test_low_dy_conf_00197.81 20197.76 20097.97 26297.92 32197.59 256100.00 199.27 25295.83 25298.81 23599.97 18794.52 23098.62 29498.47 22495.03 26197.70 300
CostFormer98.84 14898.77 14399.04 18499.41 23297.58 25799.67 28399.35 21694.66 28399.96 11899.36 29599.28 7499.74 18999.41 16897.81 21499.81 192
miper_lstm_enhance97.40 22197.28 22197.75 27399.48 22197.52 258100.00 199.07 32494.08 30298.01 28299.61 27497.38 17697.98 34096.44 28991.47 30997.76 242
Anonymous2023121196.29 27395.70 28198.07 24699.80 14497.49 25999.15 34399.40 18589.11 34997.75 29499.45 29188.93 29898.98 25998.26 23589.47 32797.73 283
pm-mvs195.76 29395.01 30198.00 25998.23 30897.45 26099.24 32699.04 33793.13 32495.93 33699.72 24486.28 32398.84 27395.62 29787.92 33997.72 290
VDDNet96.39 26895.55 28898.90 19399.27 24797.45 26099.15 34399.92 3391.28 33899.98 110100.00 173.55 364100.00 199.85 10996.98 22999.24 228
dp98.72 15598.61 15899.03 18599.53 20397.39 26299.45 30799.39 19895.62 25899.94 14299.52 28598.83 12399.82 17696.77 28498.42 18199.89 158
COLMAP_ROBcopyleft97.10 798.29 18498.17 18398.65 20599.94 11397.39 26299.30 32299.40 18595.64 25697.75 294100.00 192.69 25699.95 14398.89 19999.92 13198.62 237
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
AllTest98.55 16898.40 17198.99 18799.93 11597.35 264100.00 199.40 18597.08 18899.09 21199.98 17993.37 24299.95 14396.94 27499.84 13799.68 216
TestCases98.99 18799.93 11597.35 26499.40 18597.08 18899.09 21199.98 17993.37 24299.95 14396.94 27499.84 13799.68 216
v7n96.06 28795.42 29697.99 26197.58 33797.35 26499.86 24999.11 31292.81 32997.91 28899.49 28890.99 27298.92 26492.51 32888.49 33597.70 300
PS-MVSNAJss98.03 19498.06 19097.94 26497.63 33297.33 26799.89 24699.23 26696.27 23998.03 27999.59 27698.75 12898.78 27998.52 22294.61 27297.70 300
Anonymous2024052996.93 24396.22 25899.05 18299.79 14797.30 26899.16 34199.47 8088.51 35298.69 242100.00 183.50 342100.00 199.83 11297.02 22899.83 183
mvs_tets97.00 24096.69 23797.94 26497.41 34797.27 26999.60 29299.18 28896.51 22697.35 30799.69 25186.53 32298.91 26598.84 20295.09 26097.65 318
gm-plane-assit99.52 21097.26 27095.86 249100.00 199.43 23598.76 207
MDA-MVSNet_test_wron92.61 31891.09 32697.19 29296.71 35297.26 270100.00 199.14 30088.61 35167.90 37598.32 34789.03 29596.57 35390.47 34389.59 32597.74 277
PEN-MVS96.01 28895.48 29397.58 27897.74 32997.26 27099.90 24399.29 23894.55 28696.79 32299.55 28287.38 31497.84 34496.92 27687.24 34397.65 318
CSCG99.28 10599.35 9099.05 18299.99 5997.15 273100.00 199.47 8097.44 16199.42 192100.00 197.83 157100.00 199.99 64100.00 1100.00 1
jajsoiax97.07 23596.79 23597.89 26897.28 34897.12 27499.95 23299.19 28196.55 22297.31 30899.69 25187.35 31698.91 26598.70 21095.12 25897.66 312
tpm298.64 16298.58 16298.81 20099.42 23097.12 27499.69 28099.37 20293.63 31199.94 14299.67 25698.96 10899.47 22998.62 21897.95 20599.83 183
tpm cat198.05 19397.76 20098.92 19299.50 21897.10 27699.77 26599.30 23390.20 34699.72 17898.71 33297.71 16099.86 16596.75 28598.20 19699.81 192
RRT_MVS97.77 20397.76 20097.78 27297.89 32497.06 277100.00 199.29 23895.74 25498.00 28499.97 18795.94 20698.55 30698.87 20194.18 27597.72 290
YYNet192.44 31990.92 32797.03 29596.20 35497.06 27799.99 19999.14 30088.21 35467.93 37498.43 34488.63 30196.28 35790.64 33989.08 33197.74 277
OMC-MVS99.27 10699.38 8398.96 19099.95 11097.06 277100.00 199.40 18598.83 4299.88 156100.00 197.01 18399.86 16599.47 16599.84 13799.97 117
IterMVS96.76 24896.46 24797.63 27499.41 23296.89 28099.99 19999.13 30494.74 28197.59 30299.66 25889.63 29098.28 32095.71 29392.31 29597.72 290
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
EU-MVSNet96.63 25496.53 24296.94 30197.59 33696.87 28199.76 26799.47 8096.35 23596.85 32099.78 24092.57 25796.27 35895.33 30091.08 31397.68 307
IterMVS-SCA-FT96.72 25196.42 24997.62 27699.40 23796.83 28299.99 19999.14 30094.65 28497.55 30399.72 24489.65 28898.31 31895.62 29792.05 29897.73 283
Baseline_NR-MVSNet96.16 28195.70 28197.56 27998.28 30596.79 283100.00 197.86 36891.93 33597.63 29799.47 29092.14 26098.35 31797.13 26986.83 34797.54 331
BH-w/o98.82 15098.81 14098.88 19599.62 18296.71 284100.00 199.28 24497.09 18698.81 235100.00 194.91 22599.96 13799.54 160100.00 199.96 120
Anonymous20240521197.87 19897.53 21198.90 19399.81 13496.70 28599.35 31899.46 9592.98 32598.83 23499.99 17690.63 275100.00 199.70 13397.03 227100.00 1
MDA-MVSNet-bldmvs91.65 32589.94 33296.79 31096.72 35196.70 28599.42 31298.94 34488.89 35066.97 37798.37 34581.43 35095.91 36189.24 35289.46 32897.75 254
MIMVSNet97.06 23696.73 23698.05 25599.38 24196.64 28798.47 36299.35 21693.41 31599.48 18898.53 33989.66 28797.70 34694.16 31698.11 20199.80 202
v14896.29 27395.84 27397.63 27497.74 32996.53 288100.00 199.07 32493.52 31398.01 28299.42 29391.22 26698.60 29896.37 29087.22 34497.75 254
DTE-MVSNet95.52 29694.99 30297.08 29397.49 34296.45 289100.00 199.25 25893.82 30596.17 33299.57 28087.81 31097.18 34894.57 30986.26 35097.62 324
BH-untuned98.64 16298.65 15498.60 20799.59 18996.17 290100.00 199.28 24496.67 21598.41 260100.00 194.52 23099.83 17399.41 168100.00 199.81 192
mvs-test198.89 14598.99 12198.60 20799.77 15295.96 291100.00 198.94 34497.61 14099.93 14799.92 21695.89 20799.93 15699.36 17099.50 15399.90 153
MVS-HIRNet94.12 31092.73 32098.29 22799.33 24395.95 29299.38 31599.19 28174.54 36998.26 27186.34 37486.07 32599.06 25291.60 33499.87 13699.85 179
XVG-OURS-SEG-HR98.27 18698.31 17698.14 24099.59 18995.92 293100.00 199.36 20898.48 6399.21 203100.00 189.27 29399.94 15499.76 12499.17 15698.56 238
XVG-OURS98.30 18298.36 17598.13 24399.58 19495.91 294100.00 199.36 20898.69 5399.23 202100.00 191.20 26899.92 15999.34 17397.82 21398.56 238
h-mvs3397.03 23896.53 24298.51 21399.79 14795.90 29599.45 30799.45 10298.21 82100.00 199.78 24097.49 16999.99 9499.72 12974.92 36399.65 221
tpm98.24 18798.22 18298.32 22599.13 25295.79 29699.53 30099.12 31095.20 27199.96 11899.36 29597.58 16499.28 24597.41 26396.67 23299.88 169
TAPA-MVS96.40 1097.64 20897.37 21798.45 21699.94 11395.70 297100.00 199.40 18597.65 13499.53 185100.00 199.31 6599.66 19680.48 367100.00 1100.00 1
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
AUN-MVS96.26 27595.67 28598.06 25199.68 16495.60 29899.82 25499.42 13096.78 20399.88 15699.80 23794.84 22699.47 22997.48 26073.29 36599.12 231
hse-mvs296.79 24696.38 25098.04 25799.68 16495.54 29999.81 25599.42 13098.21 82100.00 199.80 23797.49 16999.46 23399.72 12973.27 36699.12 231
VDD-MVS96.58 25795.99 26798.34 22399.52 21095.33 30099.18 33599.38 20096.64 21799.77 173100.00 172.51 367100.00 1100.00 196.94 23099.70 214
ppachtmachnet_test96.17 28095.89 27197.02 29697.61 33495.24 30199.99 19999.24 26293.31 31996.71 32599.62 27294.34 23398.07 33489.87 34692.30 29697.75 254
PVSNet_093.57 1996.41 26495.74 27998.41 21899.84 12995.22 302100.00 1100.00 198.08 9597.55 30399.78 24084.40 334100.00 1100.00 181.99 355100.00 1
UniMVSNet_ETH3D95.28 30094.41 30597.89 26898.91 27795.14 30399.13 34599.35 21692.11 33397.17 31299.66 25870.28 37099.36 24097.88 24995.18 25399.16 229
our_test_396.51 25996.35 25396.98 29997.61 33495.05 30499.98 21799.01 34194.68 28296.77 32499.06 30895.87 20998.14 32591.81 33392.37 29497.75 254
ADS-MVSNet298.28 18598.51 16697.62 27699.51 21595.03 30599.24 32699.41 18295.52 26399.96 11899.70 24997.57 16597.94 34297.11 27098.54 17399.88 169
GBi-Net96.07 28595.80 27596.89 30499.53 20394.87 30699.18 33599.27 25293.71 30698.53 25298.81 32884.23 33698.07 33495.31 30193.60 27897.72 290
test196.07 28595.80 27596.89 30499.53 20394.87 30699.18 33599.27 25293.71 30698.53 25298.81 32884.23 33698.07 33495.31 30193.60 27897.72 290
FMVSNet194.45 30593.63 31096.89 30498.87 28294.87 30699.18 33599.27 25290.95 34197.31 30898.81 32872.89 36698.07 33492.61 32692.81 28797.72 290
HQP5-MVS94.82 309
HQP-MVS97.73 20497.85 19797.39 28199.07 25794.82 309100.00 199.40 18599.04 1499.17 20499.97 18788.61 30299.57 20499.79 11895.58 23597.77 240
NP-MVS99.07 25794.81 31199.97 187
HQP_MVS97.71 20697.82 19997.37 28299.00 26994.80 312100.00 199.40 18599.00 2599.08 21399.97 18788.58 30499.55 21399.79 11895.57 23997.76 242
plane_prior699.06 26194.80 31288.58 304
plane_prior94.80 312100.00 199.03 1995.58 235
plane_prior394.79 31599.03 1999.08 213
plane_prior799.00 26994.78 316
CLD-MVS97.64 20897.74 20397.36 28399.01 26594.76 317100.00 199.34 22199.30 499.00 21999.97 18787.49 31399.57 20499.96 9095.58 23597.75 254
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
OPM-MVS97.21 22797.18 22797.32 28698.08 31694.66 318100.00 199.28 24498.65 5798.92 22399.98 17986.03 32799.56 20898.28 23495.41 24197.72 290
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
pmmvs595.94 29095.61 28696.95 30097.42 34594.66 318100.00 198.08 36193.60 31297.05 31399.43 29287.02 31798.46 31395.76 29292.12 29797.72 290
ACMM97.17 697.37 22297.40 21597.29 28799.01 26594.64 320100.00 199.25 25898.07 9698.44 25999.98 17987.38 31499.55 21399.25 18195.19 25297.69 305
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
D2MVS97.63 21197.83 19897.05 29498.83 28694.60 321100.00 199.82 3996.89 19998.28 26899.03 31394.05 23499.47 22998.58 22194.97 26497.09 346
LPG-MVS_test97.31 22497.32 21997.28 28898.85 28494.60 321100.00 199.37 20297.35 16798.85 23099.98 17986.66 32099.56 20899.55 15795.26 24797.70 300
LGP-MVS_train97.28 28898.85 28494.60 32199.37 20297.35 16798.85 23099.98 17986.66 32099.56 20899.55 15795.26 24797.70 300
ACMP97.00 897.19 22897.16 22897.27 29098.97 27494.58 324100.00 199.32 22597.97 10597.45 30599.98 17985.79 32999.56 20899.70 13395.24 25097.67 311
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Fast-Effi-MVS+-dtu98.38 18098.56 16397.82 27099.58 19494.44 325100.00 199.16 29496.75 20499.51 18699.63 26895.03 22399.60 19897.71 25399.67 14699.42 226
ACMH96.25 1196.77 24796.62 24097.21 29198.96 27594.43 32699.64 28599.33 22397.43 16296.55 32799.97 18783.52 34199.54 21699.07 19395.13 25797.66 312
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVP-Stereo96.51 25996.48 24696.60 31395.65 35994.25 32798.84 35898.16 35795.85 25195.23 34099.04 31192.54 25899.13 24992.98 32599.98 12196.43 357
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
Effi-MVS+-dtu98.51 17298.86 13697.47 28099.77 15294.21 328100.00 198.94 34497.61 14099.91 15098.75 33195.89 20799.51 22499.36 17099.48 15498.68 235
testgi96.18 27895.93 27096.93 30298.98 27394.20 329100.00 199.07 32497.16 18296.06 33499.86 22384.08 33997.79 34590.38 34497.80 21598.81 234
LTVRE_ROB95.29 1696.32 27296.10 26296.99 29898.55 29293.88 33099.45 30799.28 24494.50 29096.46 32899.52 28584.86 33299.48 22797.26 26895.03 26197.59 328
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+96.20 1396.49 26296.33 25597.00 29799.06 26193.80 33199.81 25599.31 23097.32 17195.89 33799.97 18782.62 34699.54 21698.34 23094.63 27197.65 318
test_040294.35 30693.70 30996.32 31797.92 32193.60 33299.61 29198.85 35088.19 35594.68 34599.48 28980.01 35498.58 30289.39 35095.15 25696.77 352
ITE_SJBPF96.84 30798.96 27593.49 33398.12 35998.12 9398.35 26299.97 18784.45 33399.56 20895.63 29695.25 24997.49 334
OurMVSNet-221017-096.14 28395.98 26896.62 31297.49 34293.44 33499.92 24098.16 35795.86 24997.65 29699.95 20985.71 33098.78 27994.93 30794.18 27597.64 321
K. test v395.46 29895.14 29996.40 31597.53 33993.40 33599.99 19999.23 26695.49 26692.70 35699.73 24384.26 33598.12 32793.94 31993.38 28297.68 307
XVG-ACMP-BASELINE96.60 25696.52 24496.84 30798.41 29793.29 33699.99 19999.32 22597.76 12498.51 25599.29 29881.95 34899.54 21698.40 22695.03 26197.68 307
SixPastTwentyTwo95.71 29495.49 29196.38 31697.42 34593.01 33799.84 25198.23 35694.75 27995.98 33599.97 18785.35 33198.43 31494.71 30893.17 28397.69 305
TinyColmap95.50 29795.12 30096.64 31198.69 28793.00 33899.40 31397.75 36996.40 23296.14 33399.87 22179.47 35599.50 22593.62 32194.72 26997.40 339
FMVSNet595.32 29995.43 29594.99 32899.39 24092.99 33999.25 32599.24 26290.45 34397.44 30698.45 34295.78 21194.39 36787.02 35591.88 30297.59 328
new_pmnet94.11 31193.47 31296.04 32196.60 35392.82 34099.97 22398.91 34890.21 34595.26 33998.05 35085.89 32898.14 32584.28 35992.01 29997.16 345
EGC-MVSNET79.46 33674.04 34495.72 32496.00 35792.73 34199.09 35099.04 3375.08 38116.72 38198.71 33273.03 36598.74 28582.05 36496.64 23395.69 363
pmmvs-eth3d91.73 32490.67 32894.92 33091.63 37092.71 34299.90 24398.54 35391.19 33988.08 36395.50 36079.31 35796.13 35990.55 34281.32 35895.91 362
TDRefinement91.93 32190.48 32996.27 31881.60 37792.65 34399.10 34897.61 37093.96 30493.77 35199.85 22580.03 35399.53 22197.82 25170.59 36796.63 355
USDC95.90 29195.70 28196.50 31498.60 29192.56 344100.00 198.30 35597.77 12296.92 31699.94 21381.25 35299.45 23493.54 32294.96 26597.49 334
UnsupCasMVSNet_eth94.25 30793.89 30695.34 32597.63 33292.13 34599.73 27399.36 20894.88 27692.78 35398.63 33682.72 34496.53 35494.57 30984.73 35297.36 340
LF4IMVS96.19 27796.18 25996.23 31998.26 30692.09 346100.00 197.89 36797.82 11997.94 28699.87 22182.71 34599.38 23997.41 26393.71 27797.20 344
test20.0393.11 31692.85 31893.88 34195.19 36391.83 347100.00 198.87 34993.68 30992.76 35498.88 32689.20 29492.71 37277.88 37189.19 33097.09 346
lessismore_v096.05 32097.55 33891.80 34899.22 26891.87 35799.91 21783.50 34298.68 28992.48 32990.42 32197.68 307
MIMVSNet191.96 32091.20 32394.23 33894.94 36591.69 34999.34 31999.22 26888.23 35394.18 35098.45 34275.52 36393.41 37179.37 36991.49 30797.60 327
pmmvs390.62 33089.36 33494.40 33490.53 37291.49 350100.00 196.73 37384.21 36293.65 35296.65 35882.56 34794.83 36582.28 36377.62 36296.89 351
pmmvs693.64 31292.87 31795.94 32297.47 34491.41 35198.92 35599.02 33987.84 35695.01 34299.61 27477.24 36198.77 28294.33 31286.41 34997.63 322
Anonymous2024052193.29 31592.76 31994.90 33195.64 36091.27 35299.97 22398.82 35187.04 35794.71 34498.19 34983.86 34096.80 35084.04 36092.56 29396.64 354
KD-MVS_self_test91.16 32690.09 33194.35 33594.44 36691.27 35299.74 26999.08 32090.82 34294.53 34794.91 36586.11 32494.78 36682.67 36268.52 36896.99 348
MVS_030495.11 30394.84 30495.91 32399.60 18691.24 35498.64 36099.88 3694.51 28999.62 18398.31 34869.19 37298.82 27695.22 30498.60 17197.66 312
dcpmvs_298.87 14699.53 6896.90 30399.87 12890.88 35599.94 23799.07 32498.20 84100.00 1100.00 198.69 13199.86 165100.00 1100.00 199.95 125
patch_mono-299.04 12399.79 696.81 30999.92 11890.47 356100.00 199.41 18298.95 31100.00 1100.00 199.78 8100.00 1100.00 1100.00 199.95 125
DSMNet-mixed95.18 30295.21 29895.08 32696.03 35690.21 35799.65 28493.64 37992.91 32698.34 26397.40 35590.05 28495.51 36491.02 33897.86 20999.51 225
Anonymous2023120693.45 31493.17 31494.30 33695.00 36489.69 35899.98 21798.43 35493.30 32094.50 34898.59 33790.52 27695.73 36377.46 37390.73 31897.48 336
MS-PatchMatch95.66 29595.87 27295.05 32797.80 32889.25 35998.88 35799.30 23396.35 23596.86 31999.01 31581.35 35199.43 23593.30 32399.98 12196.46 356
CL-MVSNet_self_test91.07 32790.35 33093.24 34293.27 36789.16 36099.55 29699.25 25892.34 33295.23 34097.05 35688.86 30093.59 37080.67 36666.95 36996.96 349
UnsupCasMVSNet_bld89.50 33288.00 33593.99 34095.30 36288.86 36198.52 36199.28 24485.50 36087.80 36594.11 36661.63 37496.96 34990.63 34079.26 35996.15 358
new-patchmatchnet90.30 33189.46 33392.84 34490.77 37188.55 36299.83 25298.80 35290.07 34787.86 36495.00 36378.77 35894.30 36884.86 35879.15 36095.68 364
OpenMVS_ROBcopyleft88.34 2091.89 32291.12 32494.19 33995.55 36187.63 36399.26 32498.03 36286.61 35890.65 36196.82 35770.14 37198.78 27986.54 35696.50 23496.15 358
EG-PatchMatch MVS92.94 31792.49 32194.29 33795.87 35887.07 36499.07 35398.11 36093.19 32288.98 36298.66 33570.89 36899.08 25192.43 33095.21 25196.72 353
LCM-MVSNet-Re96.52 25897.21 22694.44 33399.27 24785.80 36599.85 25096.61 37595.98 24492.75 35598.48 34193.97 23797.55 34799.58 15598.43 18099.98 112
DeepPCF-MVS98.03 498.54 16999.72 2094.98 32999.99 5984.94 366100.00 199.42 13099.98 1100.00 1100.00 198.11 150100.00 1100.00 1100.00 1100.00 1
RPSCF97.37 22298.24 17994.76 33299.80 14484.57 36799.99 19999.05 33494.95 27599.82 169100.00 194.03 235100.00 198.15 23898.38 18599.70 214
Patchmatch-RL test93.49 31393.63 31093.05 34391.78 36883.41 36898.21 36496.95 37291.58 33791.05 35897.64 35499.40 5795.83 36294.11 31781.95 35699.91 144
Gipumacopyleft84.73 33483.50 33788.40 34997.50 34082.21 36988.87 37199.05 33465.81 37185.71 36690.49 36953.70 37596.31 35678.64 37091.74 30386.67 371
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PM-MVS88.39 33387.41 33691.31 34591.73 36982.02 37099.79 25996.62 37491.06 34090.71 36095.73 35948.60 37795.96 36090.56 34181.91 35795.97 361
test_method91.04 32891.10 32590.85 34698.34 29977.63 371100.00 198.93 34776.69 36796.25 33198.52 34070.44 36997.98 34089.02 35391.74 30396.92 350
PMMVS279.15 33877.28 34184.76 35382.34 37672.66 37299.70 27895.11 37871.68 37084.78 36890.87 36832.05 38189.99 37375.53 37463.45 37291.64 368
test12379.44 33779.23 34080.05 35580.03 37871.72 373100.00 177.93 38662.52 37294.81 34399.69 25178.21 35974.53 37992.57 32727.33 37993.90 365
DeepMVS_CXcopyleft89.98 34798.90 27871.46 37499.18 28897.61 14096.92 31699.83 22886.07 32599.83 17396.02 29197.65 22198.65 236
ambc88.45 34886.84 37370.76 37597.79 36798.02 36490.91 35995.14 36138.69 37998.51 30894.97 30684.23 35396.09 360
LCM-MVSNet79.01 33976.93 34285.27 35278.28 37968.01 37696.57 36898.03 36255.10 37582.03 36993.27 36731.99 38293.95 36982.72 36174.37 36493.84 366
CMPMVSbinary66.12 2290.65 32992.04 32286.46 35196.18 35566.87 37798.03 36599.38 20083.38 36485.49 36799.55 28277.59 36098.80 27894.44 31194.31 27493.72 367
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
N_pmnet91.88 32393.37 31387.40 35097.24 34966.33 37899.90 24391.05 38189.77 34895.65 33898.58 33890.05 28498.11 32985.39 35792.72 28897.75 254
EMVS69.88 34369.09 34672.24 36184.70 37465.82 37999.96 22787.08 38549.82 37871.51 37384.74 37649.30 37675.32 37850.97 37943.71 37675.59 376
E-PMN70.72 34270.06 34572.69 36083.92 37565.48 38099.95 23292.72 38049.88 37772.30 37286.26 37547.17 37877.43 37753.83 37844.49 37575.17 377
ANet_high66.05 34563.44 34973.88 35861.14 38363.45 38195.68 37087.18 38379.93 36547.35 37980.68 37922.35 38372.33 38161.24 37635.42 37785.88 373
MVEpermissive68.59 2167.22 34464.68 34874.84 35674.67 38262.32 38295.84 36990.87 38250.98 37658.72 37881.05 37812.20 38678.95 37661.06 37756.75 37383.24 374
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
testmvs80.17 33581.95 33874.80 35758.54 38459.58 383100.00 187.14 38476.09 36899.61 184100.00 167.06 37374.19 38098.84 20250.30 37490.64 370
tmp_tt75.80 34174.26 34380.43 35452.91 38653.67 38487.42 37397.98 36561.80 37367.04 376100.00 176.43 36296.40 35596.47 28628.26 37891.23 369
FPMVS77.92 34079.45 33973.34 35976.87 38046.81 38598.24 36399.05 33459.89 37473.55 37198.34 34636.81 38086.55 37480.96 36591.35 31186.65 372
PMVScopyleft60.66 2365.98 34665.05 34768.75 36255.06 38538.40 38688.19 37296.98 37148.30 37944.82 38088.52 37212.22 38586.49 37567.58 37583.79 35481.35 375
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuyk23d28.28 34729.73 35123.92 36375.89 38132.61 38766.50 37412.88 38716.09 38014.59 38216.59 38112.35 38432.36 38239.36 38013.36 3806.79 378
test_blank0.07 3510.09 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.79 3820.00 3870.00 3830.00 3810.00 3810.00 379
uanet_test0.01 3520.02 3550.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 3830.00 3870.00 3830.00 3810.00 3810.00 379
DCPMVS0.01 3520.02 3550.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 3830.00 3870.00 3830.00 3810.00 3810.00 379
cdsmvs_eth3d_5k24.41 34832.55 3500.00 3640.00 3870.00 3880.00 37599.39 1980.00 3820.00 383100.00 193.55 2410.00 3830.00 3810.00 3810.00 379
pcd_1.5k_mvsjas8.24 35010.99 3530.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 38398.75 1280.00 3830.00 3810.00 3810.00 379
sosnet-low-res0.01 3520.02 3550.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 3830.00 3870.00 3830.00 3810.00 3810.00 379
sosnet0.01 3520.02 3550.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 3830.00 3870.00 3830.00 3810.00 3810.00 379
uncertanet0.01 3520.02 3550.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 3830.00 3870.00 3830.00 3810.00 3810.00 379
Regformer0.01 3520.02 3550.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 3830.00 3870.00 3830.00 3810.00 3810.00 379
ab-mvs-re8.33 34911.11 3520.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 383100.00 10.00 3870.00 3830.00 3810.00 3810.00 379
uanet0.01 3520.02 3550.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.14 3830.00 3870.00 3830.00 3810.00 3810.00 379
PC_three_145298.80 46100.00 1100.00 199.54 26100.00 1100.00 1100.00 1100.00 1
eth-test20.00 387
eth-test0.00 387
test_241102_TWO99.42 13099.03 19100.00 1100.00 199.56 23100.00 1100.00 1100.00 1100.00 1
9.1499.57 5999.99 59100.00 199.42 13097.54 150100.00 1100.00 199.15 8899.99 94100.00 1100.00 1
test_0728_THIRD98.79 48100.00 1100.00 199.61 16100.00 1100.00 1100.00 1100.00 1
GSMVS99.91 144
sam_mvs199.29 7299.91 144
sam_mvs99.33 60
MTGPAbinary99.42 130
test_post199.32 32088.24 37399.33 6099.59 20098.31 231
test_post89.05 37199.49 4099.59 200
patchmatchnet-post97.79 35199.41 5699.54 216
MTMP100.00 199.18 288
test9_res100.00 1100.00 1100.00 1
agg_prior2100.00 1100.00 1100.00 1
test_prior2100.00 198.82 44100.00 1100.00 199.47 44100.00 1100.00 1
旧先验2100.00 198.11 94100.00 1100.00 199.67 143
新几何2100.00 1
无先验100.00 199.80 4297.98 103100.00 199.33 174100.00 1
原ACMM2100.00 1
testdata2100.00 197.36 265
segment_acmp99.55 25
testdata1100.00 198.77 51
plane_prior599.40 18599.55 21399.79 11895.57 23997.76 242
plane_prior499.97 187
plane_prior2100.00 199.00 25
plane_prior199.02 264
n20.00 388
nn0.00 388
door-mid96.32 376
test1199.42 130
door96.13 377
HQP-NCC99.07 257100.00 199.04 1499.17 204
ACMP_Plane99.07 257100.00 199.04 1499.17 204
BP-MVS99.79 118
HQP4-MVS99.17 20499.57 20497.77 240
HQP3-MVS99.40 18595.58 235
HQP2-MVS88.61 302
ACMMP++_ref94.58 273
ACMMP++95.17 255
Test By Simon99.10 91