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 bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DVP-MVS++81.67 182.40 179.47 1087.24 1459.15 6888.18 187.15 365.04 1684.26 591.86 667.01 190.84 379.48 791.38 288.42 28
FOURS186.12 3760.82 3788.18 183.61 8060.87 10481.50 20
APDe-MVScopyleft80.16 980.59 778.86 3286.64 2160.02 4888.12 386.42 1562.94 5682.40 1792.12 259.64 2289.76 2078.70 1588.32 3586.79 94
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
test072687.75 759.07 7287.86 486.83 864.26 3184.19 791.92 564.82 8
DVP-MVScopyleft80.84 481.64 378.42 3887.75 759.07 7287.85 585.03 4164.26 3183.82 892.00 364.82 890.75 878.66 1890.61 1185.45 158
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_SECOND79.19 1687.82 359.11 7187.85 587.15 390.84 378.66 1890.61 1187.62 62
SED-MVS81.56 282.30 279.32 1387.77 458.90 7787.82 786.78 1064.18 3485.97 191.84 866.87 390.83 578.63 2090.87 588.23 36
OPU-MVS79.83 787.54 1160.93 3587.82 789.89 5167.01 190.33 1273.16 7191.15 488.23 36
SteuartSystems-ACMMP79.48 1479.31 1479.98 383.01 8062.18 1687.60 985.83 2466.69 978.03 3590.98 1954.26 7290.06 1478.42 2389.02 2787.69 58
Skip Steuart: Steuart Systems R&D Blog.
CP-MVS77.12 3676.68 3678.43 3786.05 3963.18 587.55 1083.45 8562.44 6972.68 12090.50 3148.18 16887.34 5873.59 6985.71 6684.76 189
MED-MVS test79.09 2385.30 5059.25 6486.84 1185.86 2160.95 10183.65 1290.57 2589.91 1677.02 3489.43 2288.10 41
MED-MVS80.31 680.72 679.09 2385.30 5059.25 6486.84 1185.86 2163.10 5283.65 1290.57 2564.70 1089.91 1677.02 3489.43 2288.10 41
TestfortrainingZip a79.97 1180.40 878.69 3485.30 5058.20 8686.84 1185.86 2160.95 10183.65 1290.57 2564.70 1089.91 1676.25 4389.43 2287.96 47
TestfortrainingZip86.84 11
ZNCC-MVS78.82 1678.67 1979.30 1486.43 2962.05 1886.62 1586.01 2063.32 4675.08 6090.47 3353.96 7988.68 3176.48 3989.63 2087.16 83
HPM-MVS++copyleft79.88 1280.14 1279.10 2188.17 164.80 186.59 1683.70 7665.37 1378.78 2890.64 2258.63 2887.24 5979.00 1490.37 1485.26 170
SMA-MVScopyleft80.28 780.39 979.95 486.60 2461.95 1986.33 1785.75 2662.49 6782.20 1992.28 156.53 4189.70 2179.85 691.48 188.19 38
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
HFP-MVS78.01 2777.65 2979.10 2186.71 1962.81 886.29 1884.32 5262.82 6073.96 8490.50 3153.20 9388.35 3574.02 6587.05 5186.13 125
region2R77.67 3177.18 3379.15 1886.76 1762.95 686.29 1884.16 5562.81 6273.30 9990.58 2449.90 14488.21 3873.78 6787.03 5286.29 122
ACMMPR77.71 2977.23 3279.16 1786.75 1862.93 786.29 1884.24 5362.82 6073.55 9590.56 2949.80 14788.24 3774.02 6587.03 5286.32 118
MM80.20 880.28 1179.99 282.19 8960.01 4986.19 2183.93 5973.19 177.08 4491.21 1857.23 3690.73 1083.35 188.12 3889.22 7
MSP-MVS81.06 381.40 480.02 186.21 3262.73 986.09 2286.83 865.51 1283.81 1090.51 3063.71 1489.23 2481.51 288.44 3188.09 44
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
MTMP86.03 2317.08 492
MP-MVScopyleft78.35 2378.26 2478.64 3586.54 2663.47 486.02 2483.55 8263.89 3973.60 9390.60 2354.85 6786.72 7677.20 3188.06 4085.74 144
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
lecture77.75 2877.84 2877.50 5382.75 8457.62 9385.92 2586.20 1860.53 11378.99 2791.45 1251.51 12487.78 5175.65 4987.55 4787.10 85
GST-MVS78.14 2577.85 2778.99 2886.05 3961.82 2285.84 2685.21 3563.56 4374.29 7990.03 4752.56 10288.53 3374.79 5988.34 3386.63 103
XVS77.17 3576.56 4079.00 2686.32 3062.62 1185.83 2783.92 6064.55 2572.17 12890.01 4947.95 17088.01 4471.55 8886.74 5986.37 112
X-MVStestdata70.21 16167.28 22079.00 2686.32 3062.62 1185.83 2783.92 6064.55 2572.17 1286.49 48747.95 17088.01 4471.55 8886.74 5986.37 112
3Dnovator+66.72 475.84 5474.57 6679.66 982.40 8659.92 5185.83 2786.32 1766.92 767.80 21089.24 6042.03 24889.38 2364.07 15486.50 6389.69 3
mPP-MVS76.54 4375.93 4878.34 4086.47 2763.50 385.74 3082.28 11762.90 5771.77 13390.26 3946.61 19586.55 8471.71 8685.66 6784.97 181
DPE-MVScopyleft80.56 580.98 579.29 1587.27 1360.56 4185.71 3186.42 1563.28 4783.27 1691.83 1064.96 790.47 1176.41 4089.67 1886.84 92
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
ME-MVS80.04 1080.36 1079.08 2586.63 2359.25 6485.62 3286.73 1263.10 5282.27 1890.57 2561.90 1689.88 1977.02 3489.43 2288.10 41
SR-MVS76.13 5175.70 5277.40 5785.87 4161.20 2985.52 3382.19 11859.99 13375.10 5990.35 3647.66 17586.52 8571.64 8782.99 9084.47 198
APD-MVScopyleft78.02 2678.04 2677.98 4586.44 2860.81 3885.52 3384.36 5160.61 11179.05 2690.30 3855.54 6088.32 3673.48 7087.03 5284.83 185
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMMPcopyleft76.02 5275.33 5678.07 4285.20 5361.91 2085.49 3584.44 4963.04 5469.80 16489.74 5545.43 20987.16 6572.01 8182.87 9585.14 172
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
NCCC78.58 1978.31 2179.39 1287.51 1262.61 1385.20 3684.42 5066.73 874.67 7389.38 5855.30 6189.18 2574.19 6387.34 5086.38 110
SF-MVS78.82 1679.22 1577.60 5182.88 8257.83 9084.99 3788.13 261.86 8479.16 2590.75 2157.96 2987.09 6877.08 3390.18 1587.87 50
reproduce-ours76.90 3876.58 3877.87 4783.99 6660.46 4384.75 3883.34 9060.22 12777.85 3691.42 1450.67 13687.69 5372.46 7684.53 7485.46 156
our_new_method76.90 3876.58 3877.87 4783.99 6660.46 4384.75 3883.34 9060.22 12777.85 3691.42 1450.67 13687.69 5372.46 7684.53 7485.46 156
DeepC-MVS_fast68.24 377.25 3476.63 3779.12 2086.15 3560.86 3684.71 4084.85 4561.98 8373.06 11188.88 6653.72 8589.06 2768.27 10388.04 4187.42 70
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MGCNet78.45 2178.28 2278.98 2980.73 11457.91 8984.68 4181.64 12768.35 275.77 5090.38 3453.98 7790.26 1381.30 387.68 4688.77 16
reproduce_model76.43 4576.08 4577.49 5483.47 7460.09 4784.60 4282.90 10859.65 14077.31 3991.43 1349.62 14987.24 5971.99 8283.75 8585.14 172
SD-MVS77.70 3077.62 3077.93 4684.47 6361.88 2184.55 4383.87 6560.37 12079.89 2289.38 5854.97 6585.58 11376.12 4584.94 7086.33 116
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
CS-MVS76.25 4975.98 4777.06 6080.15 12855.63 13084.51 4483.90 6263.24 4873.30 9987.27 10155.06 6386.30 9371.78 8584.58 7289.25 6
CNVR-MVS79.84 1379.97 1379.45 1187.90 262.17 1784.37 4585.03 4166.96 577.58 3890.06 4559.47 2489.13 2678.67 1789.73 1687.03 86
NormalMVS76.26 4875.74 5177.83 4982.75 8459.89 5284.36 4683.21 9764.69 2274.21 8087.40 9449.48 15086.17 9668.04 11187.55 4787.42 70
SymmetryMVS75.28 5974.60 6577.30 5883.85 6959.89 5284.36 4675.51 27164.69 2274.21 8087.40 9449.48 15086.17 9668.04 11183.88 8385.85 135
SR-MVS-dyc-post74.57 6973.90 7876.58 7083.49 7259.87 5484.29 4881.36 13558.07 17473.14 10690.07 4344.74 21985.84 10768.20 10481.76 10884.03 210
RE-MVS-def73.71 8383.49 7259.87 5484.29 4881.36 13558.07 17473.14 10690.07 4343.06 23868.20 10481.76 10884.03 210
PHI-MVS75.87 5375.36 5577.41 5580.62 11955.91 12384.28 5085.78 2556.08 22473.41 9686.58 12950.94 13488.54 3270.79 9389.71 1787.79 55
HQP_MVS74.31 7273.73 8276.06 7781.41 10156.31 11284.22 5184.01 5764.52 2769.27 17386.10 14645.26 21387.21 6368.16 10880.58 12384.65 190
plane_prior284.22 5164.52 27
DeepC-MVS69.38 278.56 2078.14 2579.83 783.60 7061.62 2384.17 5386.85 663.23 4973.84 9090.25 4057.68 3289.96 1574.62 6089.03 2687.89 48
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
9.1478.75 1883.10 7784.15 5488.26 159.90 13478.57 3090.36 3557.51 3586.86 7377.39 2989.52 21
CPTT-MVS72.78 10472.08 11174.87 10284.88 6161.41 2684.15 5477.86 22255.27 24467.51 21688.08 7941.93 25181.85 20869.04 10280.01 13281.35 288
TSAR-MVS + MP.78.44 2278.28 2278.90 3084.96 5661.41 2684.03 5683.82 7159.34 15079.37 2489.76 5459.84 1987.62 5676.69 3786.74 5987.68 59
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
API-MVS72.17 12071.41 12274.45 11981.95 9357.22 9984.03 5680.38 16459.89 13868.40 18782.33 24349.64 14887.83 5051.87 27584.16 8178.30 343
save fliter86.17 3461.30 2883.98 5879.66 17459.00 154
SPE-MVS-test75.62 5775.31 5776.56 7180.63 11855.13 14183.88 5985.22 3462.05 8071.49 14086.03 14953.83 8186.36 9167.74 11586.91 5688.19 38
ACMMP_NAP78.77 1878.78 1778.74 3385.44 4661.04 3183.84 6085.16 3662.88 5878.10 3391.26 1752.51 10388.39 3479.34 990.52 1386.78 95
EC-MVSNet75.84 5475.87 5075.74 8578.86 15752.65 19683.73 6186.08 1963.47 4572.77 11987.25 10553.13 9487.93 4671.97 8385.57 6886.66 101
APD-MVS_3200maxsize74.96 6174.39 6876.67 6782.20 8858.24 8583.67 6283.29 9458.41 16873.71 9190.14 4145.62 20285.99 10369.64 9782.85 9685.78 138
HPM-MVS_fast74.30 7373.46 8876.80 6384.45 6459.04 7483.65 6381.05 15060.15 12970.43 15089.84 5241.09 27085.59 11267.61 11882.90 9485.77 141
plane_prior56.31 11283.58 6463.19 5180.48 126
QAPM70.05 16568.81 17773.78 14576.54 25153.43 17483.23 6583.48 8352.89 29665.90 25086.29 14041.55 26286.49 8751.01 28278.40 17881.42 282
MCST-MVS77.48 3277.45 3177.54 5286.67 2058.36 8483.22 6686.93 556.91 20274.91 6588.19 7559.15 2687.68 5573.67 6887.45 4986.57 104
EPNet73.09 9972.16 10975.90 7975.95 25956.28 11483.05 6772.39 32266.53 1065.27 26287.00 11050.40 13985.47 11862.48 18086.32 6485.94 130
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DeepPCF-MVS69.58 179.03 1579.00 1679.13 1984.92 6060.32 4683.03 6885.33 3362.86 5980.17 2190.03 4761.76 1788.95 2874.21 6288.67 3088.12 40
CSCG76.92 3776.75 3577.41 5583.96 6859.60 5682.95 6986.50 1460.78 10775.27 5584.83 17560.76 1886.56 8167.86 11487.87 4586.06 127
MP-MVS-pluss78.35 2378.46 2078.03 4484.96 5659.52 5882.93 7085.39 3262.15 7676.41 4891.51 1152.47 10586.78 7580.66 489.64 1987.80 54
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HPM-MVScopyleft77.28 3376.85 3478.54 3685.00 5560.81 3882.91 7185.08 3862.57 6573.09 11089.97 5050.90 13587.48 5775.30 5386.85 5787.33 78
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MVSFormer71.50 13470.38 14574.88 10178.76 16057.15 10482.79 7278.48 20751.26 32569.49 16783.22 22043.99 22983.24 16466.06 13679.37 14384.23 204
test_djsdf69.45 18867.74 20374.58 11374.57 29754.92 14582.79 7278.48 20751.26 32565.41 25983.49 21638.37 30083.24 16466.06 13669.25 33085.56 151
ACMP63.53 672.30 11771.20 12975.59 9180.28 12157.54 9482.74 7482.84 11160.58 11265.24 26686.18 14339.25 28886.03 10266.95 13076.79 20683.22 242
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM61.98 770.80 14969.73 15674.02 13680.59 12058.59 8282.68 7582.02 12155.46 23967.18 22384.39 19338.51 29883.17 16660.65 19776.10 21680.30 315
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
AdaColmapbinary69.99 16768.66 18173.97 14084.94 5857.83 9082.63 7678.71 19556.28 22064.34 28184.14 19641.57 26087.06 6946.45 32478.88 16277.02 364
OPM-MVS74.73 6574.25 7176.19 7680.81 11359.01 7582.60 7783.64 7963.74 4172.52 12387.49 9147.18 18685.88 10669.47 9980.78 11783.66 231
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
PGM-MVS76.77 4176.06 4678.88 3186.14 3662.73 982.55 7883.74 7361.71 8572.45 12690.34 3748.48 16688.13 4172.32 7886.85 5785.78 138
LPG-MVS_test72.74 10571.74 11675.76 8380.22 12357.51 9682.55 7883.40 8761.32 9266.67 23487.33 9939.15 29086.59 7967.70 11677.30 19883.19 244
CANet76.46 4475.93 4878.06 4381.29 10457.53 9582.35 8083.31 9367.78 370.09 15486.34 13854.92 6688.90 2972.68 7584.55 7387.76 56
114514_t70.83 14769.56 15974.64 11086.21 3254.63 14882.34 8181.81 12448.22 36763.01 30285.83 15740.92 27287.10 6757.91 22379.79 13682.18 271
HQP-NCC80.66 11582.31 8262.10 7767.85 204
ACMP_Plane80.66 11582.31 8262.10 7767.85 204
HQP-MVS73.45 8872.80 10075.40 9280.66 11554.94 14382.31 8283.90 6262.10 7767.85 20485.54 16745.46 20786.93 7167.04 12680.35 12784.32 200
MSLP-MVS++73.77 8373.47 8774.66 10883.02 7959.29 6382.30 8581.88 12259.34 15071.59 13786.83 11445.94 20083.65 15565.09 14785.22 6981.06 297
EPP-MVSNet72.16 12271.31 12674.71 10578.68 16349.70 26282.10 8681.65 12660.40 11765.94 24885.84 15651.74 12086.37 9055.93 23779.55 14288.07 46
test_prior462.51 1482.08 87
TSAR-MVS + GP.74.90 6274.15 7277.17 5982.00 9158.77 8081.80 8878.57 20358.58 16574.32 7884.51 19055.94 5787.22 6267.11 12584.48 7785.52 152
test_prior281.75 8960.37 12075.01 6189.06 6156.22 4672.19 7988.96 28
PS-MVSNAJss72.24 11871.21 12875.31 9478.50 16955.93 12281.63 9082.12 11956.24 22170.02 15885.68 16347.05 18884.34 14265.27 14674.41 23885.67 147
TEST985.58 4461.59 2481.62 9181.26 14255.65 23474.93 6388.81 6753.70 8684.68 136
train_agg76.27 4776.15 4476.64 6985.58 4461.59 2481.62 9181.26 14255.86 22674.93 6388.81 6753.70 8684.68 13675.24 5588.33 3483.65 232
MG-MVS73.96 8073.89 7974.16 12885.65 4349.69 26481.59 9381.29 14161.45 9071.05 14388.11 7751.77 11987.73 5261.05 19383.09 8885.05 177
test_885.40 4760.96 3481.54 9481.18 14655.86 22674.81 6888.80 6953.70 8684.45 140
MAR-MVS71.51 13370.15 15175.60 9081.84 9459.39 6081.38 9582.90 10854.90 26168.08 20078.70 31847.73 17385.51 11551.68 27984.17 8081.88 277
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
CDPH-MVS76.31 4675.67 5378.22 4185.35 4959.14 7081.31 9684.02 5656.32 21874.05 8288.98 6353.34 9187.92 4769.23 10188.42 3287.59 64
OpenMVScopyleft61.03 968.85 20267.56 20772.70 18574.26 30653.99 15881.21 9781.34 13952.70 29862.75 30785.55 16638.86 29484.14 14448.41 30483.01 8979.97 321
DP-MVS Recon72.15 12370.73 13876.40 7286.57 2557.99 8881.15 9882.96 10657.03 19966.78 22985.56 16444.50 22388.11 4251.77 27780.23 13083.10 249
balanced_conf0376.58 4276.55 4176.68 6681.73 9552.90 18780.94 9985.70 2861.12 9974.90 6687.17 10856.46 4288.14 4072.87 7388.03 4289.00 9
Vis-MVSNetpermissive72.18 11971.37 12474.61 11181.29 10455.41 13680.90 10078.28 21760.73 10869.23 17688.09 7844.36 22582.65 19157.68 22481.75 11085.77 141
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
jajsoiax68.25 21866.45 23873.66 15575.62 26555.49 13580.82 10178.51 20652.33 30664.33 28284.11 19728.28 41181.81 21063.48 16870.62 29983.67 229
mvs_tets68.18 22166.36 24473.63 15875.61 26655.35 13980.77 10278.56 20452.48 30564.27 28484.10 19827.45 41981.84 20963.45 16970.56 30183.69 228
DP-MVS65.68 27063.66 28371.75 21084.93 5956.87 10980.74 10373.16 31553.06 29359.09 35682.35 24236.79 32285.94 10532.82 42869.96 31572.45 413
3Dnovator64.47 572.49 11271.39 12375.79 8277.70 20258.99 7680.66 10483.15 10262.24 7465.46 25886.59 12842.38 24685.52 11459.59 20784.72 7182.85 254
ACMH+57.40 1166.12 26664.06 27572.30 19877.79 19852.83 19280.39 10578.03 22057.30 19257.47 37582.55 23627.68 41784.17 14345.54 33569.78 31979.90 323
viewdifsd2359ckpt0973.42 8972.45 10676.30 7577.25 22253.27 17880.36 10682.48 11457.96 17972.24 12785.73 16153.22 9286.27 9463.79 16479.06 16089.36 5
sasdasda74.67 6674.98 6173.71 15278.94 15550.56 23980.23 10783.87 6560.30 12477.15 4186.56 13059.65 2082.00 20566.01 13882.12 10188.58 25
canonicalmvs74.67 6674.98 6173.71 15278.94 15550.56 23980.23 10783.87 6560.30 12477.15 4186.56 13059.65 2082.00 20566.01 13882.12 10188.58 25
IS-MVSNet71.57 13271.00 13373.27 17278.86 15745.63 32480.22 10978.69 19664.14 3766.46 23787.36 9749.30 15485.60 11150.26 28883.71 8688.59 24
Effi-MVS+-dtu69.64 17967.53 21075.95 7876.10 25762.29 1580.20 11076.06 26059.83 13965.26 26577.09 35141.56 26184.02 14860.60 19871.09 29681.53 281
nrg03072.96 10173.01 9672.84 18175.41 27250.24 24880.02 11182.89 11058.36 17074.44 7586.73 12058.90 2780.83 23765.84 14174.46 23587.44 69
Anonymous2023121169.28 19168.47 18671.73 21180.28 12147.18 30879.98 11282.37 11654.61 26667.24 22184.01 20039.43 28482.41 19955.45 24572.83 26885.62 150
DPM-MVS75.47 5875.00 6076.88 6181.38 10359.16 6779.94 11385.71 2756.59 21272.46 12486.76 11656.89 3987.86 4966.36 13488.91 2983.64 233
PVSNet_Blended_VisFu71.45 13670.39 14474.65 10982.01 9058.82 7979.93 11480.35 16555.09 24965.82 25482.16 25149.17 15782.64 19260.34 19978.62 17282.50 265
PAPM_NR72.63 10971.80 11475.13 9781.72 9653.42 17579.91 11583.28 9559.14 15266.31 24185.90 15451.86 11686.06 10057.45 22680.62 12185.91 132
LS3D64.71 28462.50 30171.34 23279.72 13555.71 12779.82 11674.72 28848.50 36356.62 38384.62 18333.59 35582.34 20029.65 45075.23 23075.97 374
UGNet68.81 20367.39 21573.06 17678.33 17954.47 14979.77 11775.40 27460.45 11563.22 29584.40 19232.71 36880.91 23651.71 27880.56 12583.81 221
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
LFMVS71.78 12871.59 11772.32 19783.40 7546.38 31379.75 11871.08 33164.18 3472.80 11888.64 7242.58 24383.72 15357.41 22784.49 7686.86 91
OMC-MVS71.40 13770.60 14073.78 14576.60 24953.15 18179.74 11979.78 17158.37 16968.75 18186.45 13545.43 20980.60 24162.58 17877.73 18787.58 65
casdiffmvs_mvgpermissive76.14 5076.30 4375.66 8776.46 25351.83 21779.67 12085.08 3865.02 1975.84 4988.58 7359.42 2585.08 12472.75 7483.93 8290.08 1
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
无先验79.66 12174.30 29548.40 36580.78 23953.62 26079.03 338
Effi-MVS+73.31 9372.54 10475.62 8977.87 19553.64 16579.62 12279.61 17561.63 8972.02 13182.61 23056.44 4385.97 10463.99 15779.07 15987.25 80
GDP-MVS72.64 10871.28 12776.70 6477.72 20154.22 15579.57 12384.45 4855.30 24371.38 14186.97 11139.94 27787.00 7067.02 12879.20 15388.89 12
PAPR71.72 13170.82 13674.41 12081.20 10851.17 22279.55 12483.33 9255.81 22966.93 22884.61 18450.95 13386.06 10055.79 24079.20 15386.00 128
ACMH55.70 1565.20 27963.57 28470.07 26078.07 18952.01 21379.48 12579.69 17255.75 23156.59 38480.98 27627.12 42280.94 23342.90 36471.58 28877.25 362
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ETV-MVS74.46 7173.84 8076.33 7479.27 14555.24 14079.22 12685.00 4364.97 2172.65 12179.46 30853.65 8987.87 4867.45 12282.91 9385.89 133
BP-MVS173.41 9072.25 10876.88 6176.68 24653.70 16379.15 12781.07 14960.66 11071.81 13287.39 9640.93 27187.24 5971.23 9081.29 11489.71 2
原ACMM279.02 128
fmvsm_l_conf0.5_n_373.23 9573.13 9573.55 16274.40 30155.13 14178.97 12974.96 28656.64 20574.76 7188.75 7155.02 6478.77 28876.33 4178.31 18086.74 96
GeoE71.01 14270.15 15173.60 16079.57 13852.17 20878.93 13078.12 21958.02 17667.76 21383.87 20352.36 10782.72 18956.90 22975.79 22085.92 131
fmvsm_s_conf0.5_n_1173.16 9673.35 9172.58 18675.48 26952.41 20678.84 13176.85 24458.64 16373.58 9487.25 10554.09 7679.47 26376.19 4479.27 14985.86 134
UA-Net73.13 9872.93 9773.76 14783.58 7151.66 21978.75 13277.66 22667.75 472.61 12289.42 5649.82 14683.29 16353.61 26183.14 8786.32 118
VDDNet71.81 12771.33 12573.26 17382.80 8347.60 30478.74 13375.27 27659.59 14572.94 11389.40 5741.51 26383.91 15058.75 21982.99 9088.26 33
v1070.21 16169.02 17173.81 14473.51 31950.92 22878.74 13381.39 13360.05 13166.39 23981.83 25947.58 17785.41 12162.80 17768.86 33785.09 176
viewdifsd2359ckpt1372.40 11671.79 11574.22 12675.63 26451.77 21878.67 13583.13 10457.08 19671.59 13785.36 17153.10 9582.64 19263.07 17478.51 17488.24 35
CANet_DTU68.18 22167.71 20669.59 27074.83 28646.24 31578.66 13676.85 24459.60 14263.45 29382.09 25535.25 33377.41 31259.88 20478.76 16785.14 172
MVSMamba_PlusPlus75.75 5675.44 5476.67 6780.84 11253.06 18478.62 13785.13 3759.65 14071.53 13987.47 9256.92 3888.17 3972.18 8086.63 6288.80 13
v870.33 15969.28 16673.49 16473.15 32550.22 24978.62 13780.78 15660.79 10666.45 23882.11 25449.35 15384.98 12763.58 16768.71 33885.28 168
alignmvs73.86 8273.99 7673.45 16678.20 18250.50 24178.57 13982.43 11559.40 14876.57 4686.71 12256.42 4481.23 22465.84 14181.79 10788.62 22
PLCcopyleft56.13 1465.09 28063.21 29370.72 24981.04 11054.87 14678.57 13977.47 22948.51 36255.71 39281.89 25733.71 35279.71 25741.66 37370.37 30477.58 355
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
v7n69.01 19967.36 21773.98 13972.51 33952.65 19678.54 14181.30 14060.26 12662.67 30881.62 26343.61 23184.49 13957.01 22868.70 33984.79 187
COLMAP_ROBcopyleft52.97 1761.27 33558.81 34568.64 28674.63 29352.51 20178.42 14273.30 31149.92 34350.96 43081.51 26723.06 44279.40 26531.63 43865.85 36174.01 401
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
Elysia70.19 16368.29 19375.88 8074.15 30854.33 15378.26 14383.21 9755.04 25567.28 21983.59 21130.16 39186.11 9863.67 16579.26 15087.20 81
StellarMVS70.19 16368.29 19375.88 8074.15 30854.33 15378.26 14383.21 9755.04 25567.28 21983.59 21130.16 39186.11 9863.67 16579.26 15087.20 81
fmvsm_s_conf0.5_n_a69.54 18368.74 17971.93 20372.47 34053.82 16178.25 14562.26 41249.78 34473.12 10986.21 14252.66 10176.79 32975.02 5668.88 33585.18 171
E6new74.10 7674.09 7374.15 13077.14 22650.74 23278.24 14683.85 6962.34 7173.95 8587.27 10155.98 5482.95 17568.17 10679.85 13488.77 16
E674.10 7674.09 7374.15 13077.14 22650.74 23278.24 14683.85 6962.34 7173.95 8587.27 10155.98 5482.95 17568.17 10679.85 13488.77 16
E574.10 7674.09 7374.15 13077.14 22650.74 23278.24 14683.86 6862.34 7173.95 8587.27 10155.97 5682.95 17568.16 10879.86 13388.77 16
fmvsm_s_conf0.5_n_874.30 7374.39 6874.01 13775.33 27452.89 18978.24 14677.32 23661.65 8678.13 3288.90 6552.82 9981.54 21578.46 2278.67 17087.60 63
CLD-MVS73.33 9272.68 10275.29 9678.82 15953.33 17778.23 15084.79 4661.30 9470.41 15181.04 27452.41 10687.12 6664.61 15382.49 10085.41 162
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
test_fmvsmconf0.1_n72.81 10372.33 10774.24 12569.89 39055.81 12578.22 15175.40 27454.17 27575.00 6288.03 8353.82 8280.23 25178.08 2578.34 17986.69 98
test_fmvsmconf_n73.01 10072.59 10374.27 12471.28 36755.88 12478.21 15275.56 26954.31 27374.86 6787.80 8754.72 6880.23 25178.07 2678.48 17586.70 97
casdiffmvspermissive74.80 6374.89 6374.53 11675.59 26750.37 24578.17 15385.06 4062.80 6374.40 7687.86 8557.88 3083.61 15669.46 10082.79 9789.59 4
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
fmvsm_s_conf0.5_n_572.69 10772.80 10072.37 19674.11 31153.21 18078.12 15473.31 31053.98 27876.81 4588.05 8053.38 9077.37 31476.64 3880.78 11786.53 106
fmvsm_s_conf0.1_n_a69.32 19068.44 18871.96 20170.91 37153.78 16278.12 15462.30 41149.35 35073.20 10386.55 13251.99 11476.79 32974.83 5868.68 34085.32 166
F-COLMAP63.05 30860.87 32869.58 27276.99 24253.63 16678.12 15476.16 25647.97 37252.41 42581.61 26427.87 41478.11 29540.07 38066.66 35677.00 365
fmvsm_s_conf0.5_n_1074.11 7573.98 7774.48 11874.61 29452.86 19178.10 15777.06 24057.14 19578.24 3188.79 7052.83 9882.26 20177.79 2881.30 11388.32 31
test_fmvsmconf0.01_n72.17 12071.50 11974.16 12867.96 41455.58 13378.06 15874.67 28954.19 27474.54 7488.23 7450.35 14180.24 25078.07 2677.46 19386.65 102
EG-PatchMatch MVS64.71 28462.87 29670.22 25677.68 20353.48 17077.99 15978.82 19153.37 29056.03 39177.41 34724.75 43984.04 14646.37 32573.42 25873.14 404
fmvsm_s_conf0.5_n69.58 18168.84 17671.79 20972.31 34652.90 18777.90 16062.43 41049.97 34272.85 11785.90 15452.21 10976.49 33675.75 4770.26 30985.97 129
SSM_040470.84 14569.41 16475.12 9879.20 14753.86 15977.89 16180.00 16953.88 28069.40 17084.61 18443.21 23586.56 8158.80 21777.68 18984.95 182
dcpmvs_274.55 7075.23 5872.48 19182.34 8753.34 17677.87 16281.46 13157.80 18575.49 5286.81 11562.22 1577.75 30571.09 9182.02 10486.34 114
tttt051767.83 23165.66 25774.33 12276.69 24550.82 23077.86 16373.99 30254.54 26964.64 27982.53 23935.06 33585.50 11655.71 24169.91 31686.67 100
fmvsm_s_conf0.1_n69.41 18968.60 18271.83 20671.07 36952.88 19077.85 16462.44 40949.58 34772.97 11286.22 14151.68 12176.48 33775.53 5170.10 31286.14 124
v114470.42 15669.31 16573.76 14773.22 32350.64 23677.83 16581.43 13258.58 16569.40 17081.16 27147.53 17985.29 12364.01 15670.64 29885.34 165
CNLPA65.43 27464.02 27669.68 26878.73 16258.07 8777.82 16670.71 33551.49 32061.57 32883.58 21438.23 30470.82 37243.90 35170.10 31280.16 318
fmvsm_s_conf0.5_n_373.55 8774.39 6871.03 24274.09 31251.86 21677.77 16775.60 26761.18 9778.67 2988.98 6355.88 5877.73 30678.69 1678.68 16983.50 236
VDD-MVS72.50 11172.09 11073.75 14981.58 9749.69 26477.76 16877.63 22763.21 5073.21 10289.02 6242.14 24783.32 16261.72 18782.50 9988.25 34
v119269.97 16868.68 18073.85 14273.19 32450.94 22677.68 16981.36 13557.51 19168.95 18080.85 28145.28 21285.33 12262.97 17670.37 30485.27 169
v2v48270.50 15469.45 16373.66 15572.62 33550.03 25477.58 17080.51 16059.90 13469.52 16682.14 25247.53 17984.88 13365.07 14870.17 31086.09 126
WR-MVS_H67.02 24966.92 23067.33 30677.95 19437.75 40577.57 17182.11 12062.03 8262.65 30982.48 24050.57 13879.46 26442.91 36364.01 37684.79 187
Anonymous2024052969.91 16969.02 17172.56 18880.19 12647.65 30277.56 17280.99 15255.45 24069.88 16286.76 11639.24 28982.18 20354.04 25677.10 20287.85 51
v14419269.71 17468.51 18373.33 17173.10 32650.13 25177.54 17380.64 15756.65 20468.57 18480.55 28446.87 19384.96 12962.98 17569.66 32384.89 184
baseline74.61 6874.70 6474.34 12175.70 26249.99 25577.54 17384.63 4762.73 6473.98 8387.79 8857.67 3383.82 15269.49 9882.74 9889.20 8
viewmacassd2359aftdt73.15 9773.16 9473.11 17575.15 28049.31 27177.53 17583.21 9760.42 11673.20 10387.34 9853.82 8281.05 23067.02 12880.79 11688.96 10
Fast-Effi-MVS+-dtu67.37 23965.33 26573.48 16572.94 33057.78 9277.47 17676.88 24357.60 19061.97 32076.85 35539.31 28680.49 24554.72 25070.28 30882.17 273
fmvsm_l_conf0.5_n_973.27 9473.66 8472.09 20073.82 31352.72 19577.45 17774.28 29656.61 21177.10 4388.16 7656.17 4777.09 31978.27 2481.13 11586.48 108
v192192069.47 18768.17 19773.36 17073.06 32750.10 25277.39 17880.56 15856.58 21368.59 18280.37 28644.72 22084.98 12762.47 18169.82 31885.00 178
tt080567.77 23367.24 22469.34 27574.87 28440.08 38177.36 17981.37 13455.31 24266.33 24084.65 18237.35 31282.55 19555.65 24372.28 27985.39 163
GBi-Net67.21 24166.55 23669.19 27677.63 20643.33 34877.31 18077.83 22356.62 20865.04 27182.70 22641.85 25380.33 24747.18 31772.76 26983.92 216
test167.21 24166.55 23669.19 27677.63 20643.33 34877.31 18077.83 22356.62 20865.04 27182.70 22641.85 25380.33 24747.18 31772.76 26983.92 216
FMVSNet166.70 25665.87 25369.19 27677.49 21443.33 34877.31 18077.83 22356.45 21464.60 28082.70 22638.08 30680.33 24746.08 32872.31 27883.92 216
fmvsm_s_conf0.5_n_975.16 6075.22 5975.01 9978.34 17855.37 13877.30 18373.95 30361.40 9179.46 2390.14 4157.07 3781.15 22580.00 579.31 14888.51 27
MVS_111021_HR74.02 7973.46 8875.69 8683.01 8060.63 4077.29 18478.40 21461.18 9770.58 14985.97 15254.18 7484.00 14967.52 11982.98 9282.45 266
SSM_040770.41 15768.96 17474.75 10478.65 16453.46 17177.28 18580.00 16953.88 28068.14 19484.61 18443.21 23586.26 9558.80 21776.11 21384.54 192
EIA-MVS71.78 12870.60 14075.30 9579.85 13253.54 16977.27 18683.26 9657.92 18166.49 23679.39 31052.07 11386.69 7760.05 20179.14 15885.66 148
viewmanbaseed2359cas72.92 10272.89 9873.00 17775.16 27849.25 27477.25 18783.11 10559.52 14772.93 11486.63 12554.11 7580.98 23166.63 13280.67 12088.76 20
v124069.24 19367.91 20273.25 17473.02 32949.82 25677.21 18880.54 15956.43 21568.34 18980.51 28543.33 23484.99 12562.03 18569.77 32184.95 182
fmvsm_l_conf0.5_n70.99 14370.82 13671.48 22071.45 36054.40 15177.18 18970.46 33748.67 35975.17 5786.86 11353.77 8476.86 32776.33 4177.51 19283.17 248
E473.91 8173.83 8174.15 13077.13 22950.47 24277.15 19083.79 7262.21 7573.61 9287.19 10756.08 5283.03 16867.91 11379.35 14688.94 11
jason69.65 17868.39 19073.43 16878.27 18156.88 10877.12 19173.71 30646.53 39169.34 17283.22 22043.37 23379.18 27064.77 15079.20 15384.23 204
jason: jason.
PAPM67.92 22866.69 23471.63 21778.09 18849.02 27777.09 19281.24 14451.04 32960.91 33483.98 20147.71 17484.99 12540.81 37779.32 14780.90 300
EI-MVSNet-Vis-set72.42 11571.59 11774.91 10078.47 17154.02 15777.05 19379.33 18165.03 1871.68 13579.35 31252.75 10084.89 13166.46 13374.23 23985.83 137
PEN-MVS66.60 25866.45 23867.04 30777.11 23336.56 41877.03 19480.42 16362.95 5562.51 31484.03 19946.69 19479.07 27844.22 34563.08 38685.51 153
E273.72 8473.60 8574.06 13477.16 22450.40 24376.97 19583.74 7361.64 8773.36 9786.75 11956.14 4882.99 17067.50 12079.18 15688.80 13
E373.72 8473.60 8574.06 13477.16 22450.40 24376.97 19583.74 7361.64 8773.36 9786.76 11656.13 4982.99 17067.50 12079.18 15688.80 13
FIs70.82 14871.43 12168.98 28278.33 17938.14 40176.96 19783.59 8161.02 10067.33 21886.73 12055.07 6281.64 21154.61 25379.22 15287.14 84
PS-CasMVS66.42 26266.32 24666.70 31177.60 21236.30 42376.94 19879.61 17562.36 7062.43 31783.66 20945.69 20178.37 29145.35 34163.26 38485.42 161
h-mvs3372.71 10671.49 12076.40 7281.99 9259.58 5776.92 19976.74 24960.40 11774.81 6885.95 15345.54 20585.76 10970.41 9570.61 30083.86 220
fmvsm_l_conf0.5_n_a70.50 15470.27 14771.18 23671.30 36654.09 15676.89 20069.87 34147.90 37374.37 7786.49 13353.07 9776.69 33375.41 5277.11 20182.76 255
thisisatest053067.92 22865.78 25574.33 12276.29 25451.03 22576.89 20074.25 29753.67 28765.59 25681.76 26135.15 33485.50 11655.94 23672.47 27486.47 109
viewcassd2359sk1173.56 8673.41 9074.00 13877.13 22950.35 24676.86 20283.69 7761.23 9673.14 10686.38 13756.09 5182.96 17367.15 12479.01 16188.70 21
test_040263.25 30461.01 32469.96 26180.00 13054.37 15276.86 20272.02 32654.58 26858.71 35980.79 28335.00 33684.36 14126.41 46264.71 37071.15 432
CP-MVSNet66.49 26166.41 24266.72 30977.67 20436.33 42176.83 20479.52 17762.45 6862.54 31283.47 21746.32 19778.37 29145.47 33963.43 38385.45 158
E3new73.41 9073.22 9373.95 14177.06 23450.31 24776.78 20583.66 7860.90 10372.93 11486.02 15055.99 5382.95 17566.89 13178.77 16688.61 23
fmvsm_s_conf0.5_n_472.04 12471.85 11372.58 18673.74 31652.49 20276.69 20672.42 32156.42 21675.32 5487.04 10952.13 11278.01 29779.29 1273.65 24987.26 79
EI-MVSNet-UG-set71.92 12571.06 13274.52 11777.98 19353.56 16876.62 20779.16 18264.40 2971.18 14278.95 31752.19 11084.66 13865.47 14473.57 25285.32 166
RRT-MVS71.46 13570.70 13973.74 15077.76 20049.30 27276.60 20880.45 16261.25 9568.17 19284.78 17744.64 22184.90 13064.79 14977.88 18687.03 86
lupinMVS69.57 18268.28 19573.44 16778.76 16057.15 10476.57 20973.29 31246.19 39469.49 16782.18 24843.99 22979.23 26964.66 15179.37 14383.93 215
TranMVSNet+NR-MVSNet70.36 15870.10 15371.17 23778.64 16742.97 35576.53 21081.16 14866.95 668.53 18585.42 16951.61 12283.07 16752.32 26969.70 32287.46 68
TAPA-MVS59.36 1066.60 25865.20 26770.81 24676.63 24848.75 28376.52 21180.04 16850.64 33465.24 26684.93 17439.15 29078.54 29036.77 40476.88 20485.14 172
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DTE-MVSNet65.58 27265.34 26466.31 31976.06 25834.79 43176.43 21279.38 18062.55 6661.66 32683.83 20445.60 20379.15 27441.64 37560.88 40585.00 178
anonymousdsp67.00 25064.82 27073.57 16170.09 38656.13 11776.35 21377.35 23448.43 36464.99 27480.84 28233.01 36180.34 24664.66 15167.64 34884.23 204
MVP-Stereo65.41 27563.80 28070.22 25677.62 21055.53 13476.30 21478.53 20550.59 33556.47 38778.65 32139.84 28082.68 19044.10 34972.12 28272.44 414
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
fmvsm_s_conf0.5_n_672.59 11072.87 9971.73 21175.14 28151.96 21476.28 21577.12 23957.63 18973.85 8986.91 11251.54 12377.87 30277.18 3280.18 13185.37 164
MVS_Test72.45 11372.46 10572.42 19574.88 28348.50 28976.28 21583.14 10359.40 14872.46 12484.68 18055.66 5981.12 22665.98 14079.66 13987.63 61
LuminaMVS68.24 21966.82 23272.51 19073.46 32253.60 16776.23 21778.88 19052.78 29768.08 20080.13 29232.70 36981.41 21763.16 17375.97 21782.53 262
IterMVS-LS69.22 19468.48 18471.43 22674.44 30049.40 26876.23 21777.55 22859.60 14265.85 25381.59 26651.28 12881.58 21459.87 20569.90 31783.30 239
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
新几何276.12 219
FMVSNet266.93 25166.31 24768.79 28577.63 20642.98 35476.11 22077.47 22956.62 20865.22 26882.17 25041.85 25380.18 25347.05 32172.72 27283.20 243
旧先验276.08 22145.32 40276.55 4765.56 40858.75 219
BH-untuned68.27 21767.29 21971.21 23479.74 13353.22 17976.06 22277.46 23157.19 19466.10 24581.61 26445.37 21183.50 15945.42 34076.68 20876.91 368
FC-MVSNet-test69.80 17370.58 14267.46 30277.61 21134.73 43476.05 22383.19 10160.84 10565.88 25286.46 13454.52 7180.76 24052.52 26878.12 18286.91 89
PCF-MVS61.88 870.95 14469.49 16175.35 9377.63 20655.71 12776.04 22481.81 12450.30 33769.66 16585.40 17052.51 10384.89 13151.82 27680.24 12985.45 158
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
UniMVSNet_NR-MVSNet71.11 13971.00 13371.44 22479.20 14744.13 33976.02 22582.60 11366.48 1168.20 19084.60 18756.82 4082.82 18754.62 25170.43 30287.36 77
UniMVSNet (Re)70.63 15170.20 14871.89 20478.55 16845.29 32775.94 22682.92 10763.68 4268.16 19383.59 21153.89 8083.49 16053.97 25771.12 29386.89 90
KinetiMVS71.26 13870.16 15074.57 11474.59 29552.77 19475.91 22781.20 14560.72 10969.10 17985.71 16241.67 25883.53 15863.91 16078.62 17287.42 70
test_fmvsmvis_n_192070.84 14570.38 14572.22 19971.16 36855.39 13775.86 22872.21 32449.03 35473.28 10186.17 14451.83 11877.29 31675.80 4678.05 18383.98 213
EPNet_dtu61.90 32661.97 30861.68 37172.89 33139.78 38575.85 22965.62 37955.09 24954.56 40879.36 31137.59 30967.02 39939.80 38576.95 20378.25 344
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
MGCFI-Net72.45 11373.34 9269.81 26777.77 19943.21 35175.84 23081.18 14659.59 14575.45 5386.64 12357.74 3177.94 29863.92 15881.90 10688.30 32
v14868.24 21967.19 22771.40 22770.43 37947.77 30175.76 23177.03 24158.91 15667.36 21780.10 29448.60 16581.89 20760.01 20266.52 35884.53 195
test_fmvsm_n_192071.73 13071.14 13073.50 16372.52 33856.53 11175.60 23276.16 25648.11 36977.22 4085.56 16453.10 9577.43 31174.86 5777.14 20086.55 105
SixPastTwentyTwo61.65 32958.80 34770.20 25875.80 26047.22 30775.59 23369.68 34354.61 26654.11 41279.26 31327.07 42382.96 17343.27 35849.79 45180.41 310
DELS-MVS74.76 6474.46 6775.65 8877.84 19752.25 20775.59 23384.17 5463.76 4073.15 10582.79 22559.58 2386.80 7467.24 12386.04 6587.89 48
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
FA-MVS(test-final)69.82 17168.48 18473.84 14378.44 17250.04 25375.58 23578.99 18858.16 17267.59 21482.14 25242.66 24185.63 11056.60 23076.19 21285.84 136
Baseline_NR-MVSNet67.05 24867.56 20765.50 33775.65 26337.70 40775.42 23674.65 29059.90 13468.14 19483.15 22349.12 16077.20 31752.23 27069.78 31981.60 279
OpenMVS_ROBcopyleft52.78 1860.03 34458.14 35465.69 33470.47 37844.82 32975.33 23770.86 33445.04 40356.06 39076.00 37126.89 42679.65 25835.36 41767.29 35172.60 409
viewdifsd2359ckpt0771.90 12671.97 11271.69 21474.81 28748.08 29575.30 23880.49 16160.00 13271.63 13686.33 13956.34 4579.25 26865.40 14577.41 19487.76 56
xiu_mvs_v1_base_debu68.58 20967.28 22072.48 19178.19 18357.19 10175.28 23975.09 28251.61 31570.04 15581.41 26832.79 36479.02 28163.81 16177.31 19581.22 291
xiu_mvs_v1_base68.58 20967.28 22072.48 19178.19 18357.19 10175.28 23975.09 28251.61 31570.04 15581.41 26832.79 36479.02 28163.81 16177.31 19581.22 291
xiu_mvs_v1_base_debi68.58 20967.28 22072.48 19178.19 18357.19 10175.28 23975.09 28251.61 31570.04 15581.41 26832.79 36479.02 28163.81 16177.31 19581.22 291
EI-MVSNet69.27 19268.44 18871.73 21174.47 29849.39 26975.20 24278.45 21059.60 14269.16 17776.51 36451.29 12782.50 19659.86 20671.45 29083.30 239
CVMVSNet59.63 35059.14 34161.08 38074.47 29838.84 39475.20 24268.74 35431.15 45758.24 36676.51 36432.39 37768.58 38649.77 29065.84 36275.81 376
ET-MVSNet_ETH3D67.96 22765.72 25674.68 10776.67 24755.62 13275.11 24474.74 28752.91 29560.03 34280.12 29333.68 35382.64 19261.86 18676.34 21085.78 138
xiu_mvs_v2_base70.52 15269.75 15572.84 18181.21 10755.63 13075.11 24478.92 18954.92 26069.96 16179.68 30347.00 19282.09 20461.60 18979.37 14380.81 302
K. test v360.47 34157.11 36070.56 25273.74 31648.22 29275.10 24662.55 40758.27 17153.62 41876.31 36827.81 41581.59 21347.42 31239.18 46681.88 277
Fast-Effi-MVS+70.28 16069.12 17073.73 15178.50 16951.50 22075.01 24779.46 17956.16 22368.59 18279.55 30653.97 7884.05 14553.34 26377.53 19185.65 149
DU-MVS70.01 16669.53 16071.44 22478.05 19044.13 33975.01 24781.51 13064.37 3068.20 19084.52 18849.12 16082.82 18754.62 25170.43 30287.37 75
FMVSNet366.32 26565.61 25868.46 28876.48 25242.34 35974.98 24977.15 23855.83 22865.04 27181.16 27139.91 27880.14 25447.18 31772.76 26982.90 253
mvsmamba68.47 21366.56 23574.21 12779.60 13652.95 18574.94 25075.48 27252.09 30960.10 34083.27 21936.54 32384.70 13559.32 21177.69 18884.99 180
MTAPA76.90 3876.42 4278.35 3986.08 3863.57 274.92 25180.97 15365.13 1575.77 5090.88 2048.63 16386.66 7877.23 3088.17 3784.81 186
PS-MVSNAJ70.51 15369.70 15772.93 17981.52 9855.79 12674.92 25179.00 18755.04 25569.88 16278.66 32047.05 18882.19 20261.61 18879.58 14080.83 301
MVS_111021_LR69.50 18668.78 17871.65 21678.38 17459.33 6174.82 25370.11 33958.08 17367.83 20984.68 18041.96 24976.34 34065.62 14377.54 19079.30 334
ECVR-MVScopyleft67.72 23467.51 21168.35 29079.46 14036.29 42474.79 25466.93 36858.72 15967.19 22288.05 8036.10 32581.38 21952.07 27284.25 7887.39 73
test_yl69.69 17569.13 16871.36 23078.37 17645.74 32074.71 25580.20 16657.91 18270.01 15983.83 20442.44 24482.87 18354.97 24779.72 13785.48 154
DCV-MVSNet69.69 17569.13 16871.36 23078.37 17645.74 32074.71 25580.20 16657.91 18270.01 15983.83 20442.44 24482.87 18354.97 24779.72 13785.48 154
TransMVSNet (Re)64.72 28364.33 27365.87 33275.22 27538.56 39674.66 25775.08 28558.90 15761.79 32382.63 22951.18 12978.07 29643.63 35655.87 42980.99 299
BH-w/o66.85 25265.83 25469.90 26579.29 14252.46 20374.66 25776.65 25054.51 27064.85 27678.12 32845.59 20482.95 17543.26 35975.54 22474.27 398
IMVS_040369.09 19768.14 19871.95 20277.06 23449.73 25874.51 25978.60 19952.70 29866.69 23282.58 23146.43 19683.38 16159.20 21275.46 22682.74 256
PVSNet_BlendedMVS68.56 21267.72 20471.07 24177.03 24050.57 23774.50 26081.52 12853.66 28864.22 28779.72 30249.13 15882.87 18355.82 23873.92 24379.77 329
MonoMVSNet64.15 29363.31 29166.69 31270.51 37744.12 34174.47 26174.21 29857.81 18463.03 30076.62 36038.33 30177.31 31554.22 25560.59 41178.64 341
c3_l68.33 21667.56 20770.62 25170.87 37246.21 31674.47 26178.80 19356.22 22266.19 24278.53 32551.88 11581.40 21862.08 18269.04 33384.25 203
test250665.33 27764.61 27167.50 30079.46 14034.19 43974.43 26351.92 45058.72 15966.75 23188.05 8025.99 43180.92 23551.94 27484.25 7887.39 73
IMVS_040768.90 20167.93 20171.82 20777.06 23449.73 25874.40 26478.60 19952.70 29866.19 24282.58 23145.17 21583.00 16959.20 21275.46 22682.74 256
BH-RMVSNet68.81 20367.42 21472.97 17880.11 12952.53 20074.26 26576.29 25558.48 16768.38 18884.20 19442.59 24283.83 15146.53 32375.91 21882.56 260
NR-MVSNet69.54 18368.85 17571.59 21878.05 19043.81 34474.20 26680.86 15565.18 1462.76 30684.52 18852.35 10883.59 15750.96 28470.78 29787.37 75
UniMVSNet_ETH3D67.60 23667.07 22969.18 27977.39 21742.29 36074.18 26775.59 26860.37 12066.77 23086.06 14837.64 30878.93 28652.16 27173.49 25486.32 118
VPA-MVSNet69.02 19869.47 16267.69 29977.42 21641.00 37674.04 26879.68 17360.06 13069.26 17584.81 17651.06 13277.58 30954.44 25474.43 23784.48 197
miper_ehance_all_eth68.03 22467.24 22470.40 25570.54 37646.21 31673.98 26978.68 19755.07 25266.05 24677.80 33952.16 11181.31 22161.53 19269.32 32783.67 229
hse-mvs271.04 14069.86 15474.60 11279.58 13757.12 10673.96 27075.25 27760.40 11774.81 6881.95 25645.54 20582.90 18070.41 9566.83 35583.77 225
131464.61 28763.21 29368.80 28471.87 35347.46 30573.95 27178.39 21542.88 42459.97 34376.60 36338.11 30579.39 26654.84 24972.32 27779.55 330
MVS67.37 23966.33 24570.51 25475.46 27050.94 22673.95 27181.85 12341.57 43162.54 31278.57 32447.98 16985.47 11852.97 26682.05 10375.14 384
AUN-MVS68.45 21566.41 24274.57 11479.53 13957.08 10773.93 27375.23 27854.44 27166.69 23281.85 25837.10 31882.89 18162.07 18366.84 35483.75 226
OurMVSNet-221017-061.37 33458.63 34969.61 26972.05 34948.06 29673.93 27372.51 32047.23 38454.74 40580.92 27821.49 44981.24 22348.57 30356.22 42879.53 331
test111167.21 24167.14 22867.42 30379.24 14634.76 43373.89 27565.65 37858.71 16166.96 22787.95 8436.09 32680.53 24252.03 27383.79 8486.97 88
cl2267.47 23866.45 23870.54 25369.85 39246.49 31273.85 27677.35 23455.07 25265.51 25777.92 33447.64 17681.10 22761.58 19069.32 32784.01 212
TAMVS66.78 25565.27 26671.33 23379.16 15153.67 16473.84 27769.59 34552.32 30765.28 26181.72 26244.49 22477.40 31342.32 36778.66 17182.92 251
WR-MVS68.47 21368.47 18668.44 28980.20 12539.84 38473.75 27876.07 25964.68 2468.11 19883.63 21050.39 14079.14 27549.78 28969.66 32386.34 114
eth_miper_zixun_eth67.63 23566.28 24871.67 21571.60 35648.33 29173.68 27977.88 22155.80 23065.91 24978.62 32347.35 18582.88 18259.45 20866.25 35983.81 221
guyue68.10 22367.23 22670.71 25073.67 31849.27 27373.65 28076.04 26155.62 23667.84 20882.26 24641.24 26878.91 28761.01 19473.72 24783.94 214
TR-MVS66.59 26065.07 26871.17 23779.18 14949.63 26673.48 28175.20 28052.95 29467.90 20280.33 28939.81 28183.68 15443.20 36073.56 25380.20 317
usedtu_blend_shiyan562.63 31160.77 32968.20 29268.53 40944.64 33373.47 28277.00 24251.91 31157.10 37969.95 42838.83 29579.61 26147.44 31062.67 38880.37 312
VortexMVS66.41 26365.50 26069.16 28073.75 31448.14 29373.41 28378.28 21753.73 28564.98 27578.33 32640.62 27379.07 27858.88 21667.50 34980.26 316
fmvsm_s_conf0.1_n_269.64 17969.01 17371.52 21971.66 35551.04 22473.39 28467.14 36655.02 25875.11 5887.64 8942.94 24077.01 32275.55 5072.63 27386.52 107
fmvsm_s_conf0.5_n_269.82 17169.27 16771.46 22172.00 35051.08 22373.30 28567.79 36055.06 25475.24 5687.51 9044.02 22877.00 32375.67 4872.86 26786.31 121
cl____67.18 24466.26 24969.94 26270.20 38345.74 32073.30 28576.83 24655.10 24765.27 26279.57 30547.39 18380.53 24259.41 21069.22 33183.53 235
DIV-MVS_self_test67.18 24466.26 24969.94 26270.20 38345.74 32073.29 28776.83 24655.10 24765.27 26279.58 30447.38 18480.53 24259.43 20969.22 33183.54 234
AstraMVS67.86 23066.83 23170.93 24473.50 32049.34 27073.28 28874.01 30155.45 24068.10 19983.28 21838.93 29379.14 27563.22 17271.74 28584.30 202
CDS-MVSNet66.80 25465.37 26371.10 24078.98 15453.13 18373.27 28971.07 33252.15 30864.72 27780.23 29143.56 23277.10 31845.48 33878.88 16283.05 250
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
viewdifsd2359ckpt1169.13 19568.38 19171.38 22871.57 35748.61 28673.22 29073.18 31357.65 18770.67 14784.73 17850.03 14279.80 25563.25 17071.10 29485.74 144
viewmsd2359difaftdt69.13 19568.38 19171.38 22871.57 35748.61 28673.22 29073.18 31357.65 18770.67 14784.73 17850.03 14279.80 25563.25 17071.10 29485.74 144
diffmvs_AUTHOR71.02 14170.87 13571.45 22369.89 39048.97 28073.16 29278.33 21657.79 18672.11 13085.26 17251.84 11777.89 30171.00 9278.47 17787.49 67
pmmvs663.69 29862.82 29866.27 32170.63 37439.27 39173.13 29375.47 27352.69 30359.75 34982.30 24439.71 28277.03 32147.40 31364.35 37582.53 262
IB-MVS56.42 1265.40 27662.73 29973.40 16974.89 28252.78 19373.09 29475.13 28155.69 23258.48 36573.73 39732.86 36386.32 9250.63 28570.11 31181.10 295
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
diffmvspermissive70.69 15070.43 14371.46 22169.45 39748.95 28172.93 29578.46 20957.27 19371.69 13483.97 20251.48 12577.92 30070.70 9477.95 18587.53 66
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
FE-MVSNET262.01 32460.88 32665.42 33968.74 40638.43 39972.92 29677.39 23254.74 26555.40 39776.71 35735.46 33176.72 33244.25 34462.31 39581.10 295
V4268.65 20767.35 21872.56 18868.93 40550.18 25072.90 29779.47 17856.92 20169.45 16980.26 29046.29 19882.99 17064.07 15467.82 34684.53 195
miper_enhance_ethall67.11 24766.09 25170.17 25969.21 40045.98 31872.85 29878.41 21351.38 32265.65 25575.98 37451.17 13081.25 22260.82 19669.32 32783.29 241
thres100view90063.28 30362.41 30265.89 33077.31 22038.66 39572.65 29969.11 35257.07 19762.45 31581.03 27537.01 32079.17 27131.84 43473.25 26179.83 326
testdata172.65 29960.50 114
FE-MVS65.91 26863.33 29073.63 15877.36 21851.95 21572.62 30175.81 26353.70 28665.31 26078.96 31628.81 40686.39 8943.93 35073.48 25582.55 261
pm-mvs165.24 27864.97 26966.04 32772.38 34339.40 39072.62 30175.63 26655.53 23762.35 31983.18 22247.45 18176.47 33849.06 29966.54 35782.24 270
test22283.14 7658.68 8172.57 30363.45 40041.78 42767.56 21586.12 14537.13 31778.73 16874.98 388
PVSNet_Blended68.59 20867.72 20471.19 23577.03 24050.57 23772.51 30481.52 12851.91 31164.22 28777.77 34249.13 15882.87 18355.82 23879.58 14080.14 319
EU-MVSNet55.61 38454.41 38759.19 39165.41 43233.42 44472.44 30571.91 32728.81 45951.27 42873.87 39624.76 43869.08 38343.04 36158.20 41975.06 385
thres600view763.30 30262.27 30466.41 31777.18 22338.87 39372.35 30669.11 35256.98 20062.37 31880.96 27737.01 32079.00 28431.43 44173.05 26581.36 286
pmmvs-eth3d58.81 35556.31 37266.30 32067.61 41652.42 20572.30 30764.76 38643.55 41754.94 40374.19 39228.95 40372.60 35843.31 35757.21 42373.88 402
viewmambaseed2359dif68.91 20068.18 19671.11 23970.21 38248.05 29872.28 30875.90 26251.96 31070.93 14484.47 19151.37 12678.59 28961.55 19174.97 23186.68 99
cascas65.98 26763.42 28873.64 15777.26 22152.58 19972.26 30977.21 23748.56 36061.21 33174.60 38932.57 37585.82 10850.38 28776.75 20782.52 264
VPNet67.52 23768.11 19965.74 33379.18 14936.80 41672.17 31072.83 31862.04 8167.79 21185.83 15748.88 16276.60 33551.30 28072.97 26683.81 221
MS-PatchMatch62.42 31661.46 31465.31 34375.21 27652.10 20972.05 31174.05 30046.41 39257.42 37774.36 39034.35 34477.57 31045.62 33473.67 24866.26 451
mvs_anonymous68.03 22467.51 21169.59 27072.08 34844.57 33671.99 31275.23 27851.67 31367.06 22582.57 23554.68 6977.94 29856.56 23375.71 22286.26 123
patch_mono-269.85 17071.09 13166.16 32379.11 15254.80 14771.97 31374.31 29453.50 28970.90 14584.17 19557.63 3463.31 41766.17 13582.02 10480.38 311
tfpn200view963.18 30562.18 30666.21 32276.85 24339.62 38771.96 31469.44 34856.63 20662.61 31079.83 29737.18 31479.17 27131.84 43473.25 26179.83 326
thres40063.31 30162.18 30666.72 30976.85 24339.62 38771.96 31469.44 34856.63 20662.61 31079.83 29737.18 31479.17 27131.84 43473.25 26181.36 286
SD_040363.07 30763.49 28761.82 37075.16 27831.14 45671.89 31673.47 30753.34 29158.22 36781.81 26045.17 21573.86 35337.43 39874.87 23380.45 308
baseline163.81 29763.87 27963.62 35776.29 25436.36 41971.78 31767.29 36456.05 22564.23 28682.95 22447.11 18774.41 35047.30 31661.85 39980.10 320
baseline263.42 30061.26 31969.89 26672.55 33747.62 30371.54 31868.38 35650.11 33954.82 40475.55 37943.06 23880.96 23248.13 30767.16 35381.11 294
pmmvs461.48 33259.39 33967.76 29771.57 35753.86 15971.42 31965.34 38144.20 41159.46 35177.92 33435.90 32774.71 34843.87 35264.87 36974.71 394
1112_ss64.00 29663.36 28965.93 32979.28 14442.58 35871.35 32072.36 32346.41 39260.55 33777.89 33746.27 19973.28 35546.18 32769.97 31481.92 276
thisisatest051565.83 26963.50 28672.82 18373.75 31449.50 26771.32 32173.12 31749.39 34963.82 28976.50 36634.95 33784.84 13453.20 26575.49 22584.13 209
CostFormer64.04 29562.51 30068.61 28771.88 35245.77 31971.30 32270.60 33647.55 37864.31 28376.61 36241.63 25979.62 26049.74 29169.00 33480.42 309
tfpnnormal62.47 31461.63 31264.99 34674.81 28739.01 39271.22 32373.72 30555.22 24660.21 33880.09 29541.26 26776.98 32530.02 44868.09 34478.97 339
IterMVS62.79 31061.27 31867.35 30569.37 39852.04 21271.17 32468.24 35852.63 30459.82 34676.91 35437.32 31372.36 36052.80 26763.19 38577.66 354
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Vis-MVSNet (Re-imp)63.69 29863.88 27863.14 36274.75 28931.04 45771.16 32563.64 39856.32 21859.80 34784.99 17344.51 22275.46 34539.12 38980.62 12182.92 251
IterMVS-SCA-FT62.49 31361.52 31365.40 34071.99 35150.80 23171.15 32669.63 34445.71 40060.61 33677.93 33337.45 31065.99 40655.67 24263.50 38279.42 332
Anonymous20240521166.84 25365.99 25269.40 27480.19 12642.21 36271.11 32771.31 33058.80 15867.90 20286.39 13629.83 39679.65 25849.60 29578.78 16586.33 116
Anonymous2024052155.30 38554.41 38757.96 40260.92 45741.73 36671.09 32871.06 33341.18 43248.65 44273.31 40016.93 45559.25 43342.54 36564.01 37672.90 406
tpm262.07 32160.10 33567.99 29572.79 33243.86 34371.05 32966.85 36943.14 42262.77 30575.39 38338.32 30280.80 23841.69 37268.88 33579.32 333
TDRefinement53.44 39950.72 40961.60 37264.31 43846.96 30970.89 33065.27 38341.78 42744.61 45577.98 33111.52 47066.36 40328.57 45451.59 44571.49 427
blended_shiyan662.46 31560.71 33067.71 29869.14 40243.42 34770.82 33176.52 25151.50 31957.64 37271.37 41639.38 28579.08 27747.36 31462.67 38880.65 305
blend_shiyan461.38 33359.10 34368.20 29268.94 40444.64 33370.81 33276.52 25151.63 31457.56 37469.94 43028.30 41079.61 26147.44 31060.78 40780.36 314
XVG-ACMP-BASELINE64.36 29162.23 30570.74 24872.35 34452.45 20470.80 33378.45 21053.84 28259.87 34581.10 27316.24 45879.32 26755.64 24471.76 28480.47 307
mmtdpeth60.40 34259.12 34264.27 35269.59 39448.99 27870.67 33470.06 34054.96 25962.78 30473.26 40227.00 42467.66 39258.44 22245.29 45876.16 373
XVG-OURS-SEG-HR68.81 20367.47 21372.82 18374.40 30156.87 10970.59 33579.04 18654.77 26366.99 22686.01 15139.57 28378.21 29462.54 17973.33 25983.37 238
VNet69.68 17770.19 14968.16 29479.73 13441.63 36970.53 33677.38 23360.37 12070.69 14686.63 12551.08 13177.09 31953.61 26181.69 11285.75 143
GA-MVS65.53 27363.70 28271.02 24370.87 37248.10 29470.48 33774.40 29256.69 20364.70 27876.77 35633.66 35481.10 22755.42 24670.32 30783.87 219
MSDG61.81 32859.23 34069.55 27372.64 33452.63 19870.45 33875.81 26351.38 32253.70 41576.11 36929.52 39881.08 22937.70 39665.79 36374.93 389
ab-mvs66.65 25766.42 24167.37 30476.17 25641.73 36670.41 33976.14 25853.99 27765.98 24783.51 21549.48 15076.24 34148.60 30273.46 25684.14 208
fmvsm_s_conf0.5_n_769.54 18369.67 15869.15 28173.47 32151.41 22170.35 34073.34 30957.05 19868.41 18685.83 15749.86 14572.84 35771.86 8476.83 20583.19 244
EGC-MVSNET42.47 42938.48 43754.46 42074.33 30348.73 28470.33 34151.10 4530.03 4900.18 49167.78 44213.28 46466.49 40218.91 47350.36 44948.15 470
MVSTER67.16 24665.58 25971.88 20570.37 38149.70 26270.25 34278.45 21051.52 31869.16 17780.37 28638.45 29982.50 19660.19 20071.46 28983.44 237
reproduce_monomvs62.56 31261.20 32166.62 31470.62 37544.30 33870.13 34373.13 31654.78 26261.13 33276.37 36725.63 43475.63 34458.75 21960.29 41279.93 322
XVG-OURS68.76 20667.37 21672.90 18074.32 30457.22 9970.09 34478.81 19255.24 24567.79 21185.81 16036.54 32378.28 29362.04 18475.74 22183.19 244
HY-MVS56.14 1364.55 28863.89 27766.55 31574.73 29041.02 37369.96 34574.43 29149.29 35161.66 32680.92 27847.43 18276.68 33444.91 34371.69 28681.94 275
AllTest57.08 36954.65 38364.39 35071.44 36149.03 27569.92 34667.30 36245.97 39747.16 44679.77 29917.47 45267.56 39533.65 42259.16 41676.57 369
testing356.54 37355.92 37558.41 39677.52 21327.93 46769.72 34756.36 43754.75 26458.63 36377.80 33920.88 45071.75 36725.31 46462.25 39675.53 380
FE-blended-shiyan762.00 32560.17 33467.49 30168.53 40943.07 35369.65 34876.38 25451.26 32557.10 37969.95 42838.83 29579.04 28047.14 32062.67 38880.37 312
sc_t159.76 34757.84 35865.54 33574.87 28442.95 35669.61 34964.16 39348.90 35658.68 36077.12 34928.19 41272.35 36143.75 35555.28 43181.31 289
FE-MVSNET364.34 29263.57 28466.66 31372.44 34240.74 37969.60 35076.80 24853.21 29261.73 32577.92 33441.92 25277.68 30846.23 32672.25 28081.57 280
thres20062.20 32061.16 32265.34 34275.38 27339.99 38369.60 35069.29 35055.64 23561.87 32276.99 35237.07 31978.96 28531.28 44273.28 26077.06 363
tpmrst58.24 36058.70 34856.84 40766.97 42034.32 43769.57 35261.14 41847.17 38558.58 36471.60 41341.28 26660.41 42749.20 29762.84 38775.78 377
PatchmatchNetpermissive59.84 34658.24 35264.65 34873.05 32846.70 31169.42 35362.18 41347.55 37858.88 35871.96 41034.49 34269.16 38242.99 36263.60 38078.07 346
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
WB-MVSnew59.66 34959.69 33759.56 38475.19 27735.78 42869.34 35464.28 39046.88 38861.76 32475.79 37540.61 27465.20 40932.16 43071.21 29177.70 353
GG-mvs-BLEND62.34 36771.36 36537.04 41469.20 35557.33 43454.73 40665.48 45330.37 38777.82 30334.82 41874.93 23272.17 419
HyFIR lowres test65.67 27163.01 29573.67 15479.97 13155.65 12969.07 35675.52 27042.68 42563.53 29277.95 33240.43 27581.64 21146.01 32971.91 28383.73 227
UWE-MVS60.18 34359.78 33661.39 37677.67 20433.92 44269.04 35763.82 39648.56 36064.27 28477.64 34427.20 42170.40 37733.56 42576.24 21179.83 326
test_post168.67 3583.64 48832.39 37769.49 38144.17 346
tt032058.59 35656.81 36663.92 35575.46 27041.32 37168.63 35964.06 39447.05 38656.19 38974.19 39230.34 38871.36 36839.92 38455.45 43079.09 335
testing22262.29 31961.31 31765.25 34477.87 19538.53 39768.34 36066.31 37456.37 21763.15 29977.58 34528.47 40876.18 34337.04 40276.65 20981.05 298
tt0320-xc58.33 35956.41 37164.08 35375.79 26141.34 37068.30 36162.72 40647.90 37356.29 38874.16 39428.53 40771.04 37141.50 37652.50 44379.88 324
Test_1112_low_res62.32 31761.77 31064.00 35479.08 15339.53 38968.17 36270.17 33843.25 42059.03 35779.90 29644.08 22671.24 37043.79 35368.42 34181.25 290
tpm cat159.25 35356.95 36366.15 32472.19 34746.96 30968.09 36365.76 37740.03 44157.81 37170.56 42138.32 30274.51 34938.26 39461.50 40277.00 365
ppachtmachnet_test58.06 36355.38 37966.10 32669.51 39548.99 27868.01 36466.13 37644.50 40854.05 41370.74 42032.09 38072.34 36236.68 40756.71 42776.99 367
tpmvs58.47 35756.95 36363.03 36470.20 38341.21 37267.90 36567.23 36549.62 34654.73 40670.84 41934.14 34576.24 34136.64 40861.29 40371.64 424
testing9164.46 28963.80 28066.47 31678.43 17340.06 38267.63 36669.59 34559.06 15363.18 29778.05 33034.05 34676.99 32448.30 30575.87 21982.37 268
CL-MVSNet_self_test61.53 33060.94 32563.30 36068.95 40336.93 41567.60 36772.80 31955.67 23359.95 34476.63 35945.01 21872.22 36439.74 38662.09 39880.74 304
testing1162.81 30961.90 30965.54 33578.38 17440.76 37867.59 36866.78 37055.48 23860.13 33977.11 35031.67 38276.79 32945.53 33674.45 23679.06 336
test_vis1_n_192058.86 35459.06 34458.25 39763.76 43943.14 35267.49 36966.36 37340.22 43965.89 25171.95 41131.04 38359.75 43159.94 20364.90 36871.85 422
tpm57.34 36758.16 35354.86 41771.80 35434.77 43267.47 37056.04 44148.20 36860.10 34076.92 35337.17 31653.41 46040.76 37865.01 36776.40 371
testing9964.05 29463.29 29266.34 31878.17 18639.76 38667.33 37168.00 35958.60 16463.03 30078.10 32932.57 37576.94 32648.22 30675.58 22382.34 269
FE-MVSNET55.16 38953.75 39559.41 38665.29 43333.20 44667.21 37266.21 37548.39 36649.56 44073.53 39929.03 40272.51 35930.38 44654.10 43772.52 411
gg-mvs-nofinetune57.86 36456.43 37062.18 36872.62 33535.35 42966.57 37356.33 43850.65 33357.64 37257.10 46530.65 38576.36 33937.38 39978.88 16274.82 391
TinyColmap54.14 39251.72 40461.40 37566.84 42241.97 36366.52 37468.51 35544.81 40442.69 46075.77 37611.66 46872.94 35631.96 43256.77 42669.27 445
pmmvs556.47 37555.68 37758.86 39361.41 45136.71 41766.37 37562.75 40540.38 43853.70 41576.62 36034.56 34067.05 39840.02 38265.27 36572.83 407
CHOSEN 1792x268865.08 28162.84 29771.82 20781.49 10056.26 11566.32 37674.20 29940.53 43763.16 29878.65 32141.30 26477.80 30445.80 33174.09 24081.40 285
our_test_356.49 37454.42 38662.68 36669.51 39545.48 32566.08 37761.49 41644.11 41450.73 43469.60 43433.05 35968.15 38738.38 39356.86 42474.40 396
mvs5depth55.64 38353.81 39461.11 37959.39 46040.98 37765.89 37868.28 35750.21 33858.11 36975.42 38217.03 45467.63 39443.79 35346.21 45574.73 393
PM-MVS52.33 40350.19 41258.75 39462.10 44845.14 32865.75 37940.38 47643.60 41653.52 41972.65 4039.16 47665.87 40750.41 28654.18 43665.24 453
D2MVS62.30 31860.29 33368.34 29166.46 42648.42 29065.70 38073.42 30847.71 37658.16 36875.02 38530.51 38677.71 30753.96 25871.68 28778.90 340
MIMVSNet155.17 38854.31 38957.77 40470.03 38732.01 45265.68 38164.81 38549.19 35246.75 44976.00 37125.53 43564.04 41328.65 45362.13 39777.26 361
PatchMatch-RL56.25 37854.55 38561.32 37777.06 23456.07 11965.57 38254.10 44744.13 41353.49 42171.27 41825.20 43666.78 40036.52 41063.66 37961.12 455
Syy-MVS56.00 38056.23 37355.32 41474.69 29126.44 47365.52 38357.49 43250.97 33056.52 38572.18 40639.89 27968.09 38824.20 46564.59 37371.44 428
myMVS_eth3d54.86 39154.61 38455.61 41374.69 29127.31 47065.52 38357.49 43250.97 33056.52 38572.18 40621.87 44868.09 38827.70 45664.59 37371.44 428
test-LLR58.15 36258.13 35558.22 39868.57 40744.80 33065.46 38557.92 42950.08 34055.44 39569.82 43132.62 37257.44 44349.66 29373.62 25072.41 415
TESTMET0.1,155.28 38654.90 38256.42 40966.56 42443.67 34565.46 38556.27 43939.18 44453.83 41467.44 44324.21 44055.46 45448.04 30873.11 26470.13 439
test-mter56.42 37655.82 37658.22 39868.57 40744.80 33065.46 38557.92 42939.94 44255.44 39569.82 43121.92 44557.44 44349.66 29373.62 25072.41 415
SDMVSNet68.03 22468.10 20067.84 29677.13 22948.72 28565.32 38879.10 18358.02 17665.08 26982.55 23647.83 17273.40 35463.92 15873.92 24381.41 283
CR-MVSNet59.91 34557.90 35765.96 32869.96 38852.07 21065.31 38963.15 40342.48 42659.36 35274.84 38635.83 32870.75 37345.50 33764.65 37175.06 385
RPMNet61.53 33058.42 35070.86 24569.96 38852.07 21065.31 38981.36 13543.20 42159.36 35270.15 42635.37 33285.47 11836.42 41164.65 37175.06 385
USDC56.35 37754.24 39062.69 36564.74 43540.31 38065.05 39173.83 30443.93 41547.58 44477.71 34315.36 46175.05 34738.19 39561.81 40072.70 408
MDTV_nov1_ep1357.00 36272.73 33338.26 40065.02 39264.73 38744.74 40555.46 39472.48 40432.61 37470.47 37437.47 39767.75 347
ETVMVS59.51 35258.81 34561.58 37377.46 21534.87 43064.94 39359.35 42354.06 27661.08 33376.67 35829.54 39771.87 36632.16 43074.07 24178.01 351
CMPMVSbinary42.80 2157.81 36555.97 37463.32 35960.98 45547.38 30664.66 39469.50 34732.06 45546.83 44877.80 33929.50 39971.36 36848.68 30173.75 24671.21 431
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
WBMVS60.54 33960.61 33160.34 38278.00 19235.95 42664.55 39564.89 38449.63 34563.39 29478.70 31833.85 35167.65 39342.10 36970.35 30677.43 357
IMVS_040464.63 28664.22 27465.88 33177.06 23449.73 25864.40 39678.60 19952.70 29853.16 42282.58 23134.82 33865.16 41059.20 21275.46 22682.74 256
RPSCF55.80 38254.22 39160.53 38165.13 43442.91 35764.30 39757.62 43136.84 44858.05 37082.28 24528.01 41356.24 45137.14 40158.61 41882.44 267
XXY-MVS60.68 33661.67 31157.70 40570.43 37938.45 39864.19 39866.47 37148.05 37163.22 29580.86 28049.28 15560.47 42645.25 34267.28 35274.19 399
FMVSNet555.86 38154.93 38158.66 39571.05 37036.35 42064.18 39962.48 40846.76 39050.66 43574.73 38825.80 43264.04 41333.11 42665.57 36475.59 379
UBG59.62 35159.53 33859.89 38378.12 18735.92 42764.11 40060.81 42049.45 34861.34 32975.55 37933.05 35967.39 39738.68 39174.62 23476.35 372
testing3-262.06 32262.36 30361.17 37879.29 14230.31 45964.09 40163.49 39963.50 4462.84 30382.22 24732.35 37969.02 38440.01 38373.43 25784.17 207
icg_test_0407_266.41 26366.75 23365.37 34177.06 23449.73 25863.79 40278.60 19952.70 29866.19 24282.58 23145.17 21563.65 41659.20 21275.46 22682.74 256
test_cas_vis1_n_192056.91 37056.71 36757.51 40659.13 46145.40 32663.58 40361.29 41736.24 44967.14 22471.85 41229.89 39556.69 44757.65 22563.58 38170.46 436
UWE-MVS-2852.25 40452.35 40251.93 43866.99 41922.79 48163.48 40448.31 46246.78 38952.73 42476.11 36927.78 41657.82 44220.58 47168.41 34275.17 383
SCA60.49 34058.38 35166.80 30874.14 31048.06 29663.35 40563.23 40249.13 35359.33 35572.10 40837.45 31074.27 35144.17 34662.57 39278.05 347
myMVS_eth3d2860.66 33761.04 32359.51 38577.32 21931.58 45463.11 40663.87 39559.00 15460.90 33578.26 32732.69 37066.15 40536.10 41378.13 18180.81 302
Patchmtry57.16 36856.47 36959.23 38969.17 40134.58 43562.98 40763.15 40344.53 40756.83 38274.84 38635.83 32868.71 38540.03 38160.91 40474.39 397
Anonymous2023120655.10 39055.30 38054.48 41969.81 39333.94 44162.91 40862.13 41441.08 43355.18 40075.65 37732.75 36756.59 44930.32 44767.86 34572.91 405
sd_testset64.46 28964.45 27264.51 34977.13 22942.25 36162.67 40972.11 32558.02 17665.08 26982.55 23641.22 26969.88 38047.32 31573.92 24381.41 283
MIMVSNet57.35 36657.07 36158.22 39874.21 30737.18 41062.46 41060.88 41948.88 35755.29 39975.99 37331.68 38162.04 42231.87 43372.35 27675.43 382
dp51.89 40651.60 40552.77 43268.44 41232.45 45162.36 41154.57 44444.16 41249.31 44167.91 43928.87 40556.61 44833.89 42154.89 43369.24 446
EPMVS53.96 39353.69 39654.79 41866.12 42931.96 45362.34 41249.05 45844.42 41055.54 39371.33 41730.22 39056.70 44641.65 37462.54 39375.71 378
pmmvs344.92 42441.95 43153.86 42252.58 47043.55 34662.11 41346.90 46826.05 46640.63 46260.19 46111.08 47357.91 44131.83 43746.15 45660.11 456
test_vis1_n49.89 41548.69 41753.50 42653.97 46537.38 40961.53 41447.33 46628.54 46059.62 35067.10 44713.52 46352.27 46449.07 29857.52 42170.84 434
PVSNet50.76 1958.40 35857.39 35961.42 37475.53 26844.04 34261.43 41563.45 40047.04 38756.91 38173.61 39827.00 42464.76 41139.12 38972.40 27575.47 381
LCM-MVSNet-Re61.88 32761.35 31663.46 35874.58 29631.48 45561.42 41658.14 42858.71 16153.02 42379.55 30643.07 23776.80 32845.69 33277.96 18482.11 274
test20.0353.87 39554.02 39253.41 42861.47 45028.11 46661.30 41759.21 42451.34 32452.09 42677.43 34633.29 35858.55 43829.76 44960.27 41373.58 403
MDTV_nov1_ep13_2view25.89 47561.22 41840.10 44051.10 42932.97 36238.49 39278.61 342
PMMVS53.96 39353.26 39956.04 41062.60 44650.92 22861.17 41956.09 44032.81 45453.51 42066.84 44834.04 34759.93 43044.14 34868.18 34357.27 463
test_fmvs1_n51.37 40850.35 41154.42 42152.85 46837.71 40661.16 42051.93 44928.15 46163.81 29069.73 43313.72 46253.95 45851.16 28160.65 40971.59 425
WTY-MVS59.75 34860.39 33257.85 40372.32 34537.83 40461.05 42164.18 39145.95 39961.91 32179.11 31547.01 19160.88 42542.50 36669.49 32674.83 390
dmvs_testset50.16 41351.90 40344.94 44966.49 42511.78 48961.01 42251.50 45151.17 32850.30 43867.44 44339.28 28760.29 42822.38 46857.49 42262.76 454
Patchmatch-RL test58.16 36155.49 37866.15 32467.92 41548.89 28260.66 42351.07 45447.86 37559.36 35262.71 45934.02 34872.27 36356.41 23459.40 41577.30 359
test_fmvs151.32 41050.48 41053.81 42353.57 46637.51 40860.63 42451.16 45228.02 46363.62 29169.23 43616.41 45753.93 45951.01 28260.70 40869.99 440
LTVRE_ROB55.42 1663.15 30661.23 32068.92 28376.57 25047.80 29959.92 42576.39 25354.35 27258.67 36182.46 24129.44 40081.49 21642.12 36871.14 29277.46 356
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
SSC-MVS3.260.57 33861.39 31558.12 40174.29 30532.63 44959.52 42665.53 38059.90 13462.45 31579.75 30141.96 24963.90 41539.47 38769.65 32577.84 352
test0.0.03 153.32 40053.59 39752.50 43462.81 44529.45 46159.51 42754.11 44650.08 34054.40 41074.31 39132.62 37255.92 45230.50 44563.95 37872.15 420
UnsupCasMVSNet_eth53.16 40252.47 40055.23 41559.45 45933.39 44559.43 42869.13 35145.98 39650.35 43772.32 40529.30 40158.26 44042.02 37144.30 45974.05 400
MVS-HIRNet45.52 42344.48 42548.65 44368.49 41134.05 44059.41 42944.50 47127.03 46437.96 47150.47 47326.16 43064.10 41226.74 46159.52 41447.82 472
testgi51.90 40552.37 40150.51 44160.39 45823.55 48058.42 43058.15 42749.03 35451.83 42779.21 31422.39 44355.59 45329.24 45262.64 39172.40 417
dmvs_re56.77 37256.83 36556.61 40869.23 39941.02 37358.37 43164.18 39150.59 33557.45 37671.42 41435.54 33058.94 43637.23 40067.45 35069.87 441
PatchT53.17 40153.44 39852.33 43568.29 41325.34 47758.21 43254.41 44544.46 40954.56 40869.05 43733.32 35760.94 42436.93 40361.76 40170.73 435
WB-MVS43.26 42643.41 42642.83 45363.32 44210.32 49158.17 43345.20 46945.42 40140.44 46467.26 44634.01 34958.98 43511.96 48224.88 47659.20 457
sss56.17 37956.57 36854.96 41666.93 42136.32 42257.94 43461.69 41541.67 42958.64 36275.32 38438.72 29756.25 45042.04 37066.19 36072.31 418
ttmdpeth45.56 42242.95 42753.39 42952.33 47129.15 46257.77 43548.20 46331.81 45649.86 43977.21 3488.69 47759.16 43427.31 45733.40 47371.84 423
test_fmvs248.69 41747.49 42252.29 43648.63 47533.06 44857.76 43648.05 46425.71 46759.76 34869.60 43411.57 46952.23 46549.45 29656.86 42471.58 426
KD-MVS_self_test55.22 38753.89 39359.21 39057.80 46427.47 46957.75 43774.32 29347.38 38050.90 43170.00 42728.45 40970.30 37840.44 37957.92 42079.87 325
UnsupCasMVSNet_bld50.07 41448.87 41553.66 42460.97 45633.67 44357.62 43864.56 38839.47 44347.38 44564.02 45727.47 41859.32 43234.69 41943.68 46067.98 449
mamv456.85 37158.00 35653.43 42772.46 34154.47 14957.56 43954.74 44238.81 44557.42 37779.45 30947.57 17838.70 48060.88 19553.07 44067.11 450
SSC-MVS41.96 43141.99 43041.90 45462.46 4479.28 49357.41 44044.32 47243.38 41838.30 47066.45 44932.67 37158.42 43910.98 48321.91 47957.99 461
ANet_high41.38 43237.47 43953.11 43039.73 48624.45 47856.94 44169.69 34247.65 37726.04 47852.32 46812.44 46662.38 42121.80 46910.61 48772.49 412
MDA-MVSNet-bldmvs53.87 39550.81 40863.05 36366.25 42748.58 28856.93 44263.82 39648.09 37041.22 46170.48 42430.34 38868.00 39134.24 42045.92 45772.57 410
test1234.73 4586.30 4610.02 4730.01 4960.01 49856.36 4430.00 4970.01 4910.04 4920.21 4920.01 4950.00 4920.03 4920.00 4900.04 488
miper_lstm_enhance62.03 32360.88 32665.49 33866.71 42346.25 31456.29 44475.70 26550.68 33261.27 33075.48 38140.21 27668.03 39056.31 23565.25 36682.18 271
KD-MVS_2432*160053.45 39751.50 40659.30 38762.82 44337.14 41155.33 44571.79 32847.34 38255.09 40170.52 42221.91 44670.45 37535.72 41542.97 46170.31 437
miper_refine_blended53.45 39751.50 40659.30 38762.82 44337.14 41155.33 44571.79 32847.34 38255.09 40170.52 42221.91 44670.45 37535.72 41542.97 46170.31 437
LF4IMVS42.95 42742.26 42945.04 44748.30 47632.50 45054.80 44748.49 46028.03 46240.51 46370.16 4259.24 47543.89 47531.63 43849.18 45358.72 459
PMVScopyleft28.69 2236.22 43933.29 44445.02 44836.82 48835.98 42554.68 44848.74 45926.31 46521.02 48151.61 4702.88 48960.10 4299.99 48647.58 45438.99 479
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVStest142.65 42839.29 43552.71 43347.26 47834.58 43554.41 44950.84 45723.35 46939.31 46974.08 39512.57 46555.09 45523.32 46628.47 47568.47 448
PVSNet_043.31 2047.46 42145.64 42452.92 43167.60 41744.65 33254.06 45054.64 44341.59 43046.15 45158.75 46230.99 38458.66 43732.18 42924.81 47755.46 465
testmvs4.52 4596.03 4620.01 4740.01 4960.00 49953.86 4510.00 4970.01 4910.04 4920.27 4910.00 4960.00 4920.04 4910.00 4900.03 489
test_fmvs344.30 42542.55 42849.55 44242.83 48027.15 47253.03 45244.93 47022.03 47553.69 41764.94 4544.21 48449.63 46747.47 30949.82 45071.88 421
APD_test137.39 43834.94 44144.72 45048.88 47433.19 44752.95 45344.00 47319.49 47627.28 47758.59 4633.18 48852.84 46218.92 47241.17 46448.14 471
dongtai34.52 44134.94 44133.26 46361.06 45416.00 48852.79 45423.78 48940.71 43639.33 46848.65 47716.91 45648.34 46912.18 48119.05 48135.44 480
YYNet150.73 41148.96 41356.03 41161.10 45341.78 36551.94 45556.44 43640.94 43544.84 45367.80 44130.08 39355.08 45636.77 40450.71 44771.22 430
MDA-MVSNet_test_wron50.71 41248.95 41456.00 41261.17 45241.84 36451.90 45656.45 43540.96 43444.79 45467.84 44030.04 39455.07 45736.71 40650.69 44871.11 433
kuosan29.62 44830.82 44726.02 46852.99 46716.22 48751.09 45722.71 49033.91 45333.99 47240.85 47815.89 45933.11 4857.59 48918.37 48228.72 482
ADS-MVSNet251.33 40948.76 41659.07 39266.02 43044.60 33550.90 45859.76 42236.90 44650.74 43266.18 45126.38 42763.11 41827.17 45854.76 43469.50 443
ADS-MVSNet48.48 41847.77 41950.63 44066.02 43029.92 46050.90 45850.87 45636.90 44650.74 43266.18 45126.38 42752.47 46327.17 45854.76 43469.50 443
mamba_040867.78 23265.42 26174.85 10378.65 16453.46 17150.83 46079.09 18453.75 28368.14 19483.83 20441.79 25686.56 8156.58 23176.11 21384.54 192
SSM_0407264.98 28265.42 26163.68 35678.65 16453.46 17150.83 46079.09 18453.75 28368.14 19483.83 20441.79 25653.03 46156.58 23176.11 21384.54 192
FPMVS42.18 43041.11 43245.39 44658.03 46341.01 37549.50 46253.81 44830.07 45833.71 47364.03 45511.69 46752.08 46614.01 47755.11 43243.09 474
N_pmnet39.35 43640.28 43336.54 46063.76 4391.62 49749.37 4630.76 49634.62 45243.61 45866.38 45026.25 42942.57 47626.02 46351.77 44465.44 452
new-patchmatchnet47.56 42047.73 42047.06 44458.81 4629.37 49248.78 46459.21 42443.28 41944.22 45668.66 43825.67 43357.20 44531.57 44049.35 45274.62 395
test_vis1_rt41.35 43339.45 43447.03 44546.65 47937.86 40347.76 46538.65 47723.10 47144.21 45751.22 47111.20 47244.08 47439.27 38853.02 44159.14 458
JIA-IIPM51.56 40747.68 42163.21 36164.61 43650.73 23547.71 46658.77 42642.90 42348.46 44351.72 46924.97 43770.24 37936.06 41453.89 43868.64 447
ambc65.13 34563.72 44137.07 41347.66 46778.78 19454.37 41171.42 41411.24 47180.94 23345.64 33353.85 43977.38 358
testf131.46 44628.89 45039.16 45641.99 48328.78 46446.45 46837.56 47814.28 48321.10 47948.96 4741.48 49247.11 47013.63 47834.56 47041.60 475
APD_test231.46 44628.89 45039.16 45641.99 48328.78 46446.45 46837.56 47814.28 48321.10 47948.96 4741.48 49247.11 47013.63 47834.56 47041.60 475
Patchmatch-test49.08 41648.28 41851.50 43964.40 43730.85 45845.68 47048.46 46135.60 45046.10 45272.10 40834.47 34346.37 47227.08 46060.65 40977.27 360
DSMNet-mixed39.30 43738.72 43641.03 45551.22 47219.66 48445.53 47131.35 48315.83 48239.80 46667.42 44522.19 44445.13 47322.43 46752.69 44258.31 460
LCM-MVSNet40.30 43435.88 44053.57 42542.24 48129.15 46245.21 47260.53 42122.23 47428.02 47650.98 4723.72 48661.78 42331.22 44338.76 46769.78 442
new_pmnet34.13 44234.29 44333.64 46252.63 46918.23 48644.43 47333.90 48222.81 47230.89 47553.18 46710.48 47435.72 48420.77 47039.51 46546.98 473
mvsany_test139.38 43538.16 43843.02 45249.05 47334.28 43844.16 47425.94 48722.74 47346.57 45062.21 46023.85 44141.16 47933.01 42735.91 46953.63 466
E-PMN23.77 45022.73 45426.90 46642.02 48220.67 48342.66 47535.70 48017.43 47810.28 48825.05 4846.42 47942.39 47710.28 48514.71 48417.63 483
EMVS22.97 45121.84 45526.36 46740.20 48519.53 48541.95 47634.64 48117.09 4799.73 48922.83 4857.29 47842.22 4789.18 48713.66 48517.32 484
test_vis3_rt32.09 44430.20 44937.76 45935.36 49027.48 46840.60 47728.29 48616.69 48032.52 47440.53 4791.96 49037.40 48233.64 42442.21 46348.39 469
CHOSEN 280x42047.83 41946.36 42352.24 43767.37 41849.78 25738.91 47843.11 47435.00 45143.27 45963.30 45828.95 40349.19 46836.53 40960.80 40657.76 462
mvsany_test332.62 44330.57 44838.77 45836.16 48924.20 47938.10 47920.63 49119.14 47740.36 46557.43 4645.06 48136.63 48329.59 45128.66 47455.49 464
test_f31.86 44531.05 44634.28 46132.33 49221.86 48232.34 48030.46 48416.02 48139.78 46755.45 4664.80 48232.36 48630.61 44437.66 46848.64 468
PMMVS227.40 44925.91 45231.87 46539.46 4876.57 49431.17 48128.52 48523.96 46820.45 48248.94 4764.20 48537.94 48116.51 47419.97 48051.09 467
wuyk23d13.32 45512.52 45815.71 47047.54 47726.27 47431.06 4821.98 4954.93 4875.18 4901.94 4900.45 49418.54 4896.81 49012.83 4862.33 487
Gipumacopyleft34.77 44031.91 44543.33 45162.05 44937.87 40220.39 48367.03 36723.23 47018.41 48325.84 4834.24 48362.73 41914.71 47651.32 44629.38 481
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVEpermissive17.77 2321.41 45217.77 45732.34 46434.34 49125.44 47616.11 48424.11 48811.19 48513.22 48531.92 4811.58 49130.95 48710.47 48417.03 48340.62 478
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tmp_tt9.43 45611.14 4594.30 4722.38 4954.40 49513.62 48516.08 4930.39 48915.89 48413.06 48615.80 4605.54 49112.63 48010.46 4882.95 486
test_method19.68 45318.10 45624.41 46913.68 4943.11 49612.06 48642.37 4752.00 48811.97 48636.38 4805.77 48029.35 48815.06 47523.65 47840.76 477
mmdepth0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
monomultidepth0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
test_blank0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
uanet_test0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
DCPMVS0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
cdsmvs_eth3d_5k17.50 45423.34 4530.00 4750.00 4980.00 4990.00 48778.63 1980.00 4930.00 49482.18 24849.25 1560.00 4920.00 4930.00 4900.00 490
pcd_1.5k_mvsjas3.92 4605.23 4630.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 49347.05 1880.00 4920.00 4930.00 4900.00 490
sosnet-low-res0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
sosnet0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
uncertanet0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
Regformer0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
ab-mvs-re6.49 4578.65 4600.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 49477.89 3370.00 4960.00 4920.00 4930.00 4900.00 490
uanet0.00 4610.00 4640.00 4750.00 4980.00 4990.00 4870.00 4970.00 4930.00 4940.00 4930.00 4960.00 4920.00 4930.00 4900.00 490
WAC-MVS27.31 47027.77 455
MSC_two_6792asdad79.95 487.24 1461.04 3185.62 2990.96 179.31 1090.65 887.85 51
PC_three_145255.09 24984.46 489.84 5266.68 589.41 2274.24 6191.38 288.42 28
No_MVS79.95 487.24 1461.04 3185.62 2990.96 179.31 1090.65 887.85 51
test_one_060187.58 959.30 6286.84 765.01 2083.80 1191.86 664.03 13
eth-test20.00 498
eth-test0.00 498
ZD-MVS86.64 2160.38 4582.70 11257.95 18078.10 3390.06 4556.12 5088.84 3074.05 6487.00 55
IU-MVS87.77 459.15 6885.53 3153.93 27984.64 379.07 1390.87 588.37 30
test_241102_TWO86.73 1264.18 3484.26 591.84 865.19 690.83 578.63 2090.70 787.65 60
test_241102_ONE87.77 458.90 7786.78 1064.20 3385.97 191.34 1666.87 390.78 7
test_0728_THIRD65.04 1683.82 892.00 364.69 1290.75 879.48 790.63 1088.09 44
GSMVS78.05 347
test_part287.58 960.47 4283.42 15
sam_mvs134.74 33978.05 347
sam_mvs33.43 356
MTGPAbinary80.97 153
test_post3.55 48933.90 35066.52 401
patchmatchnet-post64.03 45534.50 34174.27 351
gm-plane-assit71.40 36441.72 36848.85 35873.31 40082.48 19848.90 300
test9_res75.28 5488.31 3683.81 221
agg_prior273.09 7287.93 4484.33 199
agg_prior85.04 5459.96 5081.04 15174.68 7284.04 146
TestCases64.39 35071.44 36149.03 27567.30 36245.97 39747.16 44679.77 29917.47 45267.56 39533.65 42259.16 41676.57 369
test_prior76.69 6584.20 6557.27 9884.88 4486.43 8886.38 110
新几何170.76 24785.66 4261.13 3066.43 37244.68 40670.29 15286.64 12341.29 26575.23 34649.72 29281.75 11075.93 375
旧先验183.04 7853.15 18167.52 36187.85 8644.08 22680.76 11978.03 350
原ACMM174.69 10685.39 4859.40 5983.42 8651.47 32170.27 15386.61 12748.61 16486.51 8653.85 25987.96 4378.16 345
testdata272.18 36546.95 322
segment_acmp54.23 73
testdata64.66 34781.52 9852.93 18665.29 38246.09 39573.88 8887.46 9338.08 30666.26 40453.31 26478.48 17574.78 392
test1277.76 5084.52 6258.41 8383.36 8972.93 11454.61 7088.05 4388.12 3886.81 93
plane_prior781.41 10155.96 121
plane_prior681.20 10856.24 11645.26 213
plane_prior584.01 5787.21 6368.16 10880.58 12384.65 190
plane_prior486.10 146
plane_prior356.09 11863.92 3869.27 173
plane_prior181.27 106
n20.00 497
nn0.00 497
door-mid47.19 467
lessismore_v069.91 26471.42 36347.80 29950.90 45550.39 43675.56 37827.43 42081.33 22045.91 33034.10 47280.59 306
LGP-MVS_train75.76 8380.22 12357.51 9683.40 8761.32 9266.67 23487.33 9939.15 29086.59 7967.70 11677.30 19883.19 244
test1183.47 84
door47.60 465
HQP5-MVS54.94 143
BP-MVS67.04 126
HQP4-MVS67.85 20486.93 7184.32 200
HQP3-MVS83.90 6280.35 127
HQP2-MVS45.46 207
NP-MVS80.98 11156.05 12085.54 167
ACMMP++_ref74.07 241
ACMMP++72.16 281
Test By Simon48.33 167
ITE_SJBPF62.09 36966.16 42844.55 33764.32 38947.36 38155.31 39880.34 28819.27 45162.68 42036.29 41262.39 39479.04 337
DeepMVS_CXcopyleft12.03 47117.97 49310.91 49010.60 4947.46 48611.07 48728.36 4823.28 48711.29 4908.01 4889.74 48913.89 485