High-res multi-view results

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

Accuracy [%]: The fraction of the reconstruction which is closer to the ground truth than the evaluation threshold distance (*). Larger is better.
Completeness [%]: The fraction of the ground truth which is closer to the reconstruction than the evaluation threshold distance (*). Larger is better.
F₁ score [%]: The harmonic mean of accuracy and completeness, used to rank methods based on both metrics. Larger is better.
Time [s]: The runtime of the method. Smaller is better.

(*) 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	all	high-res multi-view	indoor	outdoor	botani.	boulde.	bridge	door	exhibi.	lectur.	living.	lounge	observ.	old co.	statue	terrac.

MSLP-MVS++		99.89 1	99.85 2	99.99 5	100.00 1	99.96 10	100.00 1	99.95 15	99.11 6	100.00 1	100.00 1	99.60 18	100.00 1	100.00 1	100.00 1	100.00 1

NCCC		99.86 2	99.82 3	100.00 1	100.00 1	99.99 1	100.00 1	99.71 62	99.07 8	100.00 1	100.00 1	99.59 20	100.00 1	100.00 1	100.00 1	100.00 1

CHOSEN 280x420		99.85 3	99.87 1	99.80 93	99.99 45	99.97 8	99.97 195	99.98 13	98.96 21	100.00 1	100.00 1	99.96 3	99.42 204	100.00 1	100.00 1	100.00 1

MCST-MVS		99.85 3	99.80 4	100.00 1	100.00 1	99.99 1	100.00 1	99.73 54	99.19 5	100.00 1	100.00 1	99.31 53	100.00 1	100.00 1	100.00 1	100.00 1

CNVR-MVS		99.85 3	99.80 4	100.00 1	100.00 1	99.99 1	100.00 1	99.77 44	99.07 8	100.00 1	100.00 1	99.39 47	100.00 1	100.00 1	100.00 1	100.00 1

APDe-MVS		99.84 6	99.78 6	99.99 5	100.00 1	99.98 6	100.00 1	99.44 104	99.06 10	100.00 1	100.00 1	99.56 22	99.99 80	100.00 1	100.00 1	100.00 1

TSAR-MVS + MP.		99.82 7	99.77 8	99.99 5	100.00 1	99.96 10	100.00 1	99.43 113	99.05 12	100.00 1	100.00 1	99.45 41	99.99 80	100.00 1	100.00 1	100.00 1

HPM-MVS++		99.82 7	99.76 10	99.99 5	99.99 45	99.98 6	100.00 1	99.83 39	98.88 27	99.96 87	100.00 1	99.21 69	100.00 1	100.00 1	100.00 1	99.99 88

HSP-MVS		99.81 9	99.77 8	99.94 57	100.00 1	99.86 65	100.00 1	99.42 119	98.87 29	100.00 1	100.00 1	99.65 17	99.96 112	100.00 1	100.00 1	100.00 1

test_prior3		99.81 9	99.78 6	99.90 70	100.00 1	99.75 83	100.00 1	99.73 54	98.82 33	100.00 1	100.00 1	99.47 38	99.97 97	100.00 1	100.00 1	100.00 1

SD-MVS		99.81 9	99.75 12	99.99 5	99.99 45	99.96 10	100.00 1	99.42 119	99.01 18	100.00 1	100.00 1	99.33 49	100.00 1	100.00 1	100.00 1	100.00 1

XVS		99.79 12	99.73 14	99.98 16	100.00 1	99.94 27	100.00 1	99.75 49	98.67 40	100.00 1	100.00 1	99.16 74	100.00 1	100.00 1	100.00 1	100.00 1

SteuartSystems-ACMMP		99.78 13	99.71 16	99.98 16	99.76 123	99.95 19	100.00 1	99.42 119	98.69 38	100.00 1	100.00 1	99.52 27	99.99 80	100.00 1	100.00 1	100.00 1
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PAPM		99.78 13	99.76 10	99.85 83	99.01 213	99.95 19	100.00 1	99.75 49	99.37 3	99.99 75	100.00 1	99.76 13	99.60 171	100.00 1	100.00 1	100.00 1

ESAPD		99.76 15	99.69 18	100.00 1	100.00 1	99.99 1	100.00 1	99.42 119	98.23 64	100.00 1	100.00 1	99.53 24	100.00 1	100.00 1	100.00 1	100.00 1

DP-MVS Recon		99.76 15	99.69 18	99.98 16	100.00 1	99.95 19	100.00 1	99.52 74	97.99 82	99.99 75	100.00 1	99.72 14	100.00 1	99.96 65	100.00 1	100.00 1

PAPR		99.76 15	99.68 22	99.99 5	100.00 1	99.96 10	100.00 1	99.47 81	98.16 67	100.00 1	100.00 1	99.51 29	100.00 1	100.00 1	100.00 1	100.00 1

#test#		99.75 18	99.68 22	99.96 35	100.00 1	99.89 48	100.00 1	99.76 45	98.07 77	100.00 1	100.00 1	99.31 53	100.00 1	99.99 44	100.00 1	100.00 1

Regformer-1		99.75 18	99.68 22	99.98 16	100.00 1	99.94 27	100.00 1	99.44 104	98.43 49	100.00 1	100.00 1	99.23 67	99.99 80	99.99 44	100.00 1	100.00 1

Regformer-2		99.75 18	99.68 22	99.97 23	100.00 1	99.94 27	100.00 1	99.44 104	98.42 51	100.00 1	100.00 1	99.22 68	99.99 80	99.99 44	100.00 1	100.00 1

DeepC-MVS_fast	98.92 1	99.75 18	99.67 27	99.99 5	99.99 45	99.96 10	99.73 253	99.52 74	99.06 10	100.00 1	100.00 1	98.80 102	100.00 1	99.95 70	100.00 1	100.00 1
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MG-MVS		99.75 18	99.68 22	99.97 23	100.00 1	99.91 38	99.98 189	99.47 81	99.09 7	100.00 1	100.00 1	98.59 110	100.00 1	99.95 70	100.00 1	100.00 1

HFP-MVS		99.74 23	99.67 27	99.96 35	100.00 1	99.89 48	100.00 1	99.76 45	97.95 89	100.00 1	100.00 1	99.31 53	100.00 1	99.99 44	100.00 1	100.00 1

ACMMPR		99.74 23	99.67 27	99.96 35	100.00 1	99.89 48	100.00 1	99.76 45	97.95 89	100.00 1	100.00 1	99.29 60	100.00 1	99.99 44	100.00 1	100.00 1

PAPM_NR		99.74 23	99.66 30	99.99 5	100.00 1	99.96 10	100.00 1	99.47 81	97.87 96	100.00 1	100.00 1	99.60 18	100.00 1	100.00 1	100.00 1	100.00 1

Regformer-3		99.73 26	99.65 31	99.96 35	100.00 1	99.89 48	100.00 1	99.44 104	98.40 52	100.00 1	100.00 1	99.03 84	99.97 97	99.99 44	100.00 1	100.00 1

Regformer-4		99.73 26	99.65 31	99.95 46	100.00 1	99.89 48	100.00 1	99.44 104	98.40 52	100.00 1	100.00 1	99.03 84	99.97 97	99.99 44	100.00 1	100.00 1

CDPH-MVS		99.73 26	99.64 35	99.99 5	100.00 1	99.97 8	100.00 1	99.42 119	98.02 80	100.00 1	100.00 1	99.32 52	99.99 80	100.00 1	100.00 1	100.00 1

region2R		99.72 29	99.64 35	99.97 23	100.00 1	99.90 44	100.00 1	99.74 52	97.86 97	100.00 1	100.00 1	99.19 71	100.00 1	99.99 44	100.00 1	100.00 1

API-MVS		99.72 29	99.70 17	99.79 96	99.97 75	99.37 123	99.96 198	99.94 18	98.48 47	100.00 1	100.00 1	98.92 94	100.00 1	100.00 1	100.00 1	100.00 1

CNLPA		99.72 29	99.65 31	99.91 67	99.97 75	99.72 92	100.00 1	99.47 81	98.43 49	99.88 120	100.00 1	99.14 76	100.00 1	99.97 63	100.00 1	100.00 1

train_agg		99.71 32	99.63 39	99.97 23	100.00 1	99.95 19	100.00 1	99.42 119	97.70 109	100.00 1	100.00 1	99.51 29	99.97 97	100.00 1	100.00 1	100.00 1

agg_prior3		99.71 32	99.63 39	99.97 23	100.00 1	99.95 19	100.00 1	99.42 119	97.71 108	100.00 1	100.00 1	99.51 29	99.97 97	100.00 1	100.00 1	100.00 1

agg_prior1		99.71 32	99.63 39	99.95 46	100.00 1	99.88 58	100.00 1	99.42 119	97.72 106	100.00 1	100.00 1	99.51 29	99.97 97	100.00 1	100.00 1	100.00 1

MVS_111021_HR		99.71 32	99.63 39	99.93 60	99.95 81	99.83 70	100.00 1	100.00 1	98.89 26	100.00 1	100.00 1	97.85 124	99.95 118	100.00 1	100.00 1	100.00 1

EI-MVSNet-Vis-set		99.70 36	99.64 35	99.87 79	100.00 1	99.64 102	99.98 189	99.44 104	98.35 59	99.99 75	100.00 1	99.04 81	99.96 112	99.98 58	100.00 1	100.00 1

MVS_111021_LR		99.70 36	99.65 31	99.88 78	99.96 80	99.70 97	100.00 1	99.97 14	98.96 21	100.00 1	100.00 1	97.93 123	99.95 118	99.99 44	100.00 1	100.00 1

PLC	98.56 2	99.70 36	99.74 13	99.58 125	100.00 1	98.79 159	100.00 1	99.54 73	98.58 45	99.96 87	100.00 1	99.59 20	100.00 1	100.00 1	100.00 1	99.94 113
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
EI-MVSNet-UG-set		99.69 39	99.63 39	99.87 79	99.99 45	99.64 102	99.95 204	99.44 104	98.35 59	100.00 1	100.00 1	98.98 86	99.97 97	99.98 58	100.00 1	100.00 1

PGM-MVS		99.69 39	99.61 44	99.95 46	99.99 45	99.85 68	100.00 1	99.58 71	97.69 111	100.00 1	100.00 1	99.44 42	100.00 1	99.79 90	100.00 1	100.00 1

mPP-MVS		99.69 39	99.60 45	99.97 23	100.00 1	99.91 38	100.00 1	99.42 119	97.91 92	100.00 1	100.00 1	99.04 81	100.00 1	100.00 1	100.00 1	100.00 1

MPTG		99.68 42	99.59 46	99.97 23	99.99 45	99.91 38	100.00 1	99.42 119	98.32 61	99.94 108	100.00 1	98.65 107	100.00 1	99.96 65	100.00 1	100.00 1

MTAPA		99.68 42	99.59 46	99.97 23	99.99 45	99.91 38	100.00 1	99.42 119	98.32 61	99.94 108	100.00 1	98.65 107	100.00 1	99.96 65	100.00 1	100.00 1

APD-MVS		99.68 42	99.58 48	99.97 23	99.99 45	99.96 10	100.00 1	99.42 119	97.53 129	100.00 1	100.00 1	99.27 64	99.97 97	100.00 1	100.00 1	100.00 1
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMMP_Plus		99.67 45	99.57 50	99.97 23	99.98 71	99.92 35	100.00 1	99.42 119	97.83 98	100.00 1	100.00 1	98.89 97	100.00 1	99.98 58	100.00 1	100.00 1

CP-MVS		99.67 45	99.58 48	99.95 46	100.00 1	99.84 69	100.00 1	99.42 119	97.77 103	100.00 1	100.00 1	99.07 78	100.00 1	100.00 1	100.00 1	100.00 1

APD-MVS_3200maxsize		99.65 47	99.55 54	99.97 23	99.99 45	99.91 38	100.00 1	99.48 80	97.54 128	100.00 1	100.00 1	98.97 87	99.99 80	99.98 58	100.00 1	100.00 1

ACMMP		99.65 47	99.57 50	99.89 73	99.99 45	99.66 100	99.75 248	99.73 54	98.16 67	99.75 140	100.00 1	98.90 96	100.00 1	99.96 65	99.88 107	100.00 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
PS-MVSNAJ		99.64 49	99.57 50	99.85 83	99.78 119	99.81 76	99.95 204	99.42 119	98.38 55	100.00 1	100.00 1	98.75 104	100.00 1	99.88 78	99.99 87	99.74 183

F-COLMAP		99.64 49	99.64 35	99.67 112	99.99 45	99.07 143	100.00 1	99.44 104	98.30 63	99.90 116	100.00 1	99.18 72	99.99 80	99.91 74	100.00 1	99.94 113

1121		99.63 51	99.51 55	99.99 5	99.99 45	99.96 10	99.24 300	99.74 52	97.89 93	100.00 1	100.00 1	99.39 47	100.00 1	99.33 138	100.00 1	100.00 1

EPNet		99.62 52	99.69 18	99.42 136	99.99 45	98.37 177	100.00 1	99.89 37	98.83 31	100.00 1	100.00 1	98.97 87	100.00 1	99.90 75	99.61 118	99.89 138
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DELS-MVS		99.62 52	99.56 53	99.82 87	99.92 90	99.45 117	100.00 1	99.78 43	98.92 25	99.73 141	100.00 1	97.70 127	100.00 1	99.93 72	100.00 1	100.00 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
MP-MVS-pluss		99.61 54	99.50 56	99.97 23	99.98 71	99.92 35	100.00 1	99.42 119	97.53 129	99.77 137	100.00 1	98.77 103	100.00 1	99.99 44	100.00 1	99.99 88
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MP-MVS		99.61 54	99.49 58	99.98 16	99.99 45	99.94 27	100.00 1	99.42 119	97.82 100	99.99 75	100.00 1	98.20 117	100.00 1	99.99 44	100.00 1	100.00 1

TSAR-MVS + GP.		99.61 54	99.69 18	99.35 143	99.99 45	98.06 208	100.00 1	99.36 179	99.83 2	100.00 1	100.00 1	98.95 90	99.99 80	100.00 1	99.11 123	100.00 1

HPM-MVS_fast		99.60 57	99.49 58	99.91 67	99.99 45	99.78 80	100.00 1	99.42 119	97.09 154	100.00 1	100.00 1	98.95 90	99.96 112	99.98 58	100.00 1	100.00 1

HPM-MVS		99.59 58	99.50 56	99.89 73	100.00 1	99.70 97	100.00 1	99.42 119	97.46 131	100.00 1	100.00 1	98.60 109	99.96 112	99.99 44	100.00 1	100.00 1

WTY-MVS		99.54 59	99.40 61	99.95 46	99.81 99	99.93 32	100.00 1	100.00 1	97.98 84	99.84 122	100.00 1	98.94 92	99.98 93	99.86 80	98.21 159	99.94 113

abl_6		99.53 60	99.40 61	99.92 66	100.00 1	99.76 81	100.00 1	99.42 119	97.21 147	100.00 1	100.00 1	98.12 119	100.00 1	99.82 89	100.00 1	100.00 1

tfpn_ndepth		99.52 61	99.39 63	99.89 73	99.90 93	99.83 70	100.00 1	99.72 60	97.95 89	99.96 87	99.98 139	99.94 4	99.85 145	99.17 147	97.91 172	100.00 1

xiu_mvs_v2_base		99.51 62	99.41 60	99.82 87	99.70 128	99.73 86	99.92 212	99.40 152	98.15 69	100.00 1	100.00 1	98.50 113	100.00 1	99.85 82	99.13 122	99.74 183

HY-MVS	96.53 9	99.50 63	99.35 69	99.96 35	99.81 99	99.93 32	99.64 270	100.00 1	97.97 86	99.84 122	99.85 185	98.94 92	99.99 80	99.86 80	98.23 158	99.95 109

PHI-MVS		99.50 63	99.39 63	99.82 87	100.00 1	99.45 117	100.00 1	99.94 18	96.38 196	100.00 1	100.00 1	98.18 118	100.00 1	100.00 1	100.00 1	100.00 1

CPTT-MVS		99.49 65	99.38 65	99.85 83	100.00 1	99.54 106	100.00 1	99.42 119	97.58 126	99.98 80	100.00 1	97.43 134	100.00 1	99.99 44	100.00 1	100.00 1

MAR-MVS		99.49 65	99.36 67	99.89 73	99.97 75	99.66 100	99.74 249	99.95 15	97.89 93	100.00 1	100.00 1	96.71 157	100.00 1	100.00 1	100.00 1	100.00 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
PVSNet_Blended		99.48 67	99.36 67	99.83 86	99.98 71	99.60 104	100.00 1	100.00 1	97.79 102	100.00 1	100.00 1	96.57 159	99.99 80	100.00 1	99.88 107	99.90 133

tfpn1000		99.47 68	99.34 71	99.87 79	99.89 95	99.80 78	100.00 1	99.72 60	97.83 98	99.96 87	99.98 139	99.94 4	99.82 150	98.87 159	97.87 175	100.00 1

sss		99.45 69	99.34 71	99.80 93	99.76 123	99.50 108	100.00 1	99.91 36	97.72 106	99.98 80	99.94 173	98.45 114	100.00 1	99.53 123	98.75 131	99.89 138

AdaColmap		99.44 70	99.26 73	99.95 46	100.00 1	99.86 65	99.70 259	99.99 10	98.53 46	99.90 116	100.00 1	95.34 178	100.00 1	99.92 73	100.00 1	100.00 1

CANet		99.40 71	99.24 76	99.89 73	99.99 45	99.76 81	100.00 1	99.73 54	98.40 52	99.78 136	100.00 1	95.28 179	99.96 112	100.00 1	99.99 87	99.96 104

114514_t		99.39 72	99.25 74	99.81 90	99.97 75	99.48 115	100.00 1	99.42 119	95.53 219	100.00 1	100.00 1	98.37 116	99.95 118	99.97 63	100.00 1	100.00 1

alignmvs		99.38 73	99.21 79	99.91 67	99.73 126	99.92 35	100.00 1	99.51 78	97.61 122	100.00 1	100.00 1	99.06 79	99.93 131	99.83 85	97.12 203	99.90 133

1314		99.38 73	99.19 83	99.96 35	98.88 228	99.89 48	99.24 300	99.93 31	98.88 27	98.79 200	100.00 1	97.02 140	100.00 1	100.00 1	100.00 1	100.00 1

xiu_mvs_v1_base_debu		99.35 75	99.21 79	99.79 96	99.67 133	99.71 93	99.78 239	99.36 179	98.13 71	100.00 1	100.00 1	97.00 145	100.00 1	99.83 85	99.07 124	99.66 192

xiu_mvs_v1_base		99.35 75	99.21 79	99.79 96	99.67 133	99.71 93	99.78 239	99.36 179	98.13 71	100.00 1	100.00 1	97.00 145	100.00 1	99.83 85	99.07 124	99.66 192

xiu_mvs_v1_base_debi		99.35 75	99.21 79	99.79 96	99.67 133	99.71 93	99.78 239	99.36 179	98.13 71	100.00 1	100.00 1	97.00 145	100.00 1	99.83 85	99.07 124	99.66 192

PVSNet_Blended_VisFu		99.33 78	99.18 84	99.78 104	99.82 98	99.49 111	100.00 1	99.95 15	97.36 137	99.63 152	100.00 1	96.45 163	99.95 118	99.79 90	99.65 117	99.89 138

conf0.002		99.32 79	99.16 85	99.80 93	99.79 114	99.73 86	100.00 1	99.71 62	97.66 112	99.71 144	100.00 1	99.78 6	99.70 164	98.15 191	97.67 193	99.97 95

thresconf0.02		99.32 79	99.16 85	99.79 96	99.79 114	99.73 86	100.00 1	99.71 62	97.66 112	99.71 144	100.00 1	99.78 6	99.70 164	98.15 191	97.67 193	99.94 113

tfpn_n400		99.32 79	99.16 85	99.79 96	99.79 114	99.73 86	100.00 1	99.71 62	97.66 112	99.71 144	100.00 1	99.78 6	99.70 164	98.15 191	97.67 193	99.94 113

tfpnconf		99.32 79	99.16 85	99.79 96	99.79 114	99.73 86	100.00 1	99.71 62	97.66 112	99.71 144	100.00 1	99.78 6	99.70 164	98.15 191	97.67 193	99.94 113

tfpnview11		99.32 79	99.16 85	99.79 96	99.79 114	99.73 86	100.00 1	99.71 62	97.66 112	99.71 144	100.00 1	99.78 6	99.70 164	98.15 191	97.67 193	99.94 113

HyFIR lowres test		99.32 79	99.24 76	99.58 125	99.95 81	99.26 130	100.00 1	99.99 10	96.72 174	99.29 171	99.91 177	99.49 35	99.47 199	99.74 98	98.08 166	100.00 1

LS3D		99.31 85	99.13 91	99.87 79	99.99 45	99.71 93	99.55 277	99.46 93	97.32 141	99.82 132	100.00 1	96.85 154	99.97 97	99.14 148	100.00 1	99.92 124

PVSNet	94.91 18	99.30 86	99.25 74	99.44 133	100.00 1	98.32 183	100.00 1	99.86 38	98.04 79	100.00 1	100.00 1	96.10 167	100.00 1	99.55 118	99.73 114	100.00 1

lupinMVS		99.29 87	99.16 85	99.69 111	99.45 178	99.49 111	100.00 1	99.15 251	97.45 132	99.97 84	100.00 1	96.76 155	99.76 157	99.67 106	100.00 1	99.81 168

CSCG		99.28 88	99.35 69	99.05 161	99.99 45	97.15 245	100.00 1	99.47 81	97.44 133	99.42 164	100.00 1	97.83 125	100.00 1	99.99 44	100.00 1	100.00 1

thres200		99.27 89	99.04 94	99.96 35	99.81 99	99.90 44	100.00 1	99.94 18	97.31 143	99.83 124	99.96 158	97.04 137	100.00 1	99.62 111	97.88 174	99.98 90

OMC-MVS		99.27 89	99.38 65	98.96 168	99.95 81	97.06 249	100.00 1	99.40 152	98.83 31	99.88 120	100.00 1	97.01 141	99.86 141	99.47 126	99.84 110	99.97 95

tfpn200view9		99.26 91	99.03 95	99.96 35	99.81 99	99.89 48	100.00 1	99.94 18	97.23 144	99.83 124	99.96 158	97.04 137	100.00 1	99.59 112	97.85 177	99.98 90

thres400		99.26 91	99.03 95	99.95 46	99.81 99	99.89 48	100.00 1	99.94 18	97.23 144	99.83 124	99.96 158	97.04 137	100.00 1	99.59 112	97.85 177	99.97 95

conf200view11		99.25 93	99.01 97	99.95 46	99.81 99	99.87 61	100.00 1	99.94 18	97.13 151	99.83 124	99.96 158	97.01 141	100.00 1	99.59 112	97.85 177	99.97 95

thres100view900		99.25 93	99.01 97	99.95 46	99.81 99	99.87 61	100.00 1	99.94 18	97.13 151	99.83 124	99.96 158	97.01 141	100.00 1	99.59 112	97.85 177	99.98 90

EPMVS		99.25 93	99.13 91	99.60 118	99.60 148	99.20 137	99.60 273	100.00 1	96.93 165	99.92 114	99.36 245	99.05 80	99.71 163	98.77 164	98.94 128	99.90 133

thres600view7		99.24 96	99.00 99	99.95 46	99.81 99	99.87 61	100.00 1	99.94 18	97.13 151	99.83 124	99.96 158	97.01 141	100.00 1	99.54 121	97.77 185	99.97 95

MVS		99.22 97	98.96 103	99.98 16	99.00 217	99.95 19	99.24 300	99.94 18	98.14 70	98.88 193	100.00 1	95.63 176	100.00 1	99.85 82	100.00 1	100.00 1

DWT-MVSNet_test		99.22 97	99.22 78	99.22 154	99.56 159	97.98 212	99.89 218	99.39 166	97.20 148	99.96 87	100.00 1	99.52 27	99.82 150	99.11 151	98.34 151	99.87 157

view600		99.18 99	98.93 109	99.93 60	99.81 99	99.83 70	100.00 1	99.94 18	96.96 160	99.54 154	99.96 158	96.99 148	100.00 1	99.43 127	97.75 186	99.97 95

view800		99.18 99	98.93 109	99.93 60	99.81 99	99.83 70	100.00 1	99.94 18	96.96 160	99.54 154	99.96 158	96.99 148	100.00 1	99.43 127	97.75 186	99.97 95

conf0.05thres1000		99.18 99	98.93 109	99.93 60	99.81 99	99.83 70	100.00 1	99.94 18	96.96 160	99.54 154	99.96 158	96.99 148	100.00 1	99.43 127	97.75 186	99.97 95

tfpn		99.18 99	98.93 109	99.93 60	99.81 99	99.83 70	100.00 1	99.94 18	96.96 160	99.54 154	99.96 158	96.99 148	100.00 1	99.43 127	97.75 186	99.97 95

PatchFormer-LS_test		99.14 103	99.12 93	99.19 155	99.54 160	97.86 222	99.66 268	99.40 152	96.94 164	99.96 87	100.00 1	99.29 60	99.84 146	98.96 154	98.29 154	99.88 150

PMMVS		99.12 104	98.97 102	99.58 125	99.57 157	98.98 152	100.00 1	99.30 204	97.14 150	99.96 87	100.00 1	96.53 162	99.82 150	99.70 102	98.49 137	99.94 113

jason		99.11 105	98.96 103	99.59 121	99.17 199	99.31 126	100.00 1	99.13 260	97.38 136	99.83 124	100.00 1	95.54 177	99.72 162	99.57 117	99.97 97	99.74 183
jason: jason.
EPP-MVSNet		99.10 106	99.00 99	99.40 138	99.51 171	98.68 164	99.92 212	99.43 113	95.47 225	99.65 151	100.00 1	99.51 29	99.76 157	99.53 123	98.00 168	99.75 179

TESTMET0.1,1		99.08 107	98.96 103	99.44 133	99.63 142	99.38 121	100.00 1	99.45 95	95.53 219	99.48 161	100.00 1	99.71 15	99.02 220	96.84 232	99.99 87	99.91 125

IS-MVSNet		99.08 107	98.91 114	99.59 121	99.65 137	99.38 121	99.78 239	99.24 230	96.70 175	99.51 159	100.00 1	98.44 115	99.52 193	98.47 179	98.39 146	99.88 150

UA-Net		99.06 109	98.83 120	99.74 107	99.52 168	99.40 120	99.08 321	99.45 95	97.64 120	99.83 124	100.00 1	95.80 170	99.94 129	98.35 183	99.80 113	99.88 150

3Dnovator	95.63 14	99.06 109	98.76 127	99.96 35	98.86 231	99.90 44	99.98 189	99.93 31	98.95 24	98.49 223	100.00 1	92.91 207	100.00 1	99.71 100	100.00 1	100.00 1

VNet		99.04 111	98.75 128	99.90 70	99.81 99	99.75 83	99.50 282	99.47 81	98.36 58	100.00 1	99.99 138	94.66 189	100.00 1	99.90 75	97.09 204	99.96 104

canonicalmvs		99.03 112	98.73 129	99.94 57	99.75 125	99.95 19	100.00 1	99.30 204	97.64 120	100.00 1	100.00 1	95.22 181	99.97 97	99.76 96	96.90 207	99.91 125

test-LLR		99.03 112	98.91 114	99.40 138	99.40 186	99.28 128	100.00 1	99.45 95	96.70 175	99.42 164	99.12 254	99.31 53	99.01 221	96.82 233	99.99 87	99.91 125

PatchmatchNet		99.03 112	98.96 103	99.26 151	99.49 176	98.33 180	99.38 290	99.45 95	96.64 180	99.96 87	99.58 231	99.49 35	99.50 196	97.63 210	99.00 127	99.93 122
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
3Dnovator+	95.58 15	99.03 112	98.71 131	99.96 35	98.99 220	99.89 48	100.00 1	99.51 78	98.96 21	98.32 230	100.00 1	92.78 208	100.00 1	99.87 79	100.00 1	100.00 1

CANet_DTU		99.02 116	98.90 117	99.41 137	99.88 96	98.71 162	100.00 1	99.29 208	98.84 30	100.00 1	100.00 1	94.02 194	100.00 1	98.08 197	99.96 99	99.52 198

PatchMatch-RL		99.02 116	98.78 125	99.74 107	99.99 45	99.29 127	100.00 1	100.00 1	98.38 55	99.89 119	99.81 194	93.14 205	99.99 80	97.85 205	99.98 94	99.95 109

CHOSEN 1792x2688		99.00 118	98.91 114	99.25 152	99.90 93	97.79 224	100.00 1	99.99 10	98.79 36	98.28 233	100.00 1	93.63 198	99.95 118	99.66 108	99.95 101	100.00 1

DeepC-MVS	97.84 5	99.00 118	98.80 124	99.60 118	99.93 87	99.03 146	100.00 1	99.40 152	98.61 44	99.33 169	100.00 1	92.23 213	99.95 118	99.74 98	99.96 99	99.83 163
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
QAPM		98.99 120	98.66 133	99.96 35	99.01 213	99.87 61	99.88 221	99.93 31	97.99 82	98.68 207	100.00 1	93.17 204	100.00 1	99.32 140	100.00 1	100.00 1

Vis-MVSNet (Re-imp)		98.99 120	98.89 118	99.29 148	99.64 141	98.89 156	99.98 189	99.31 202	96.74 171	99.48 161	100.00 1	98.11 120	99.10 216	98.39 181	98.34 151	99.89 138

MVS_0304		98.98 122	98.66 133	99.94 57	99.95 81	99.86 65	100.00 1	99.29 208	98.38 55	99.81 134	100.00 1	90.60 246	100.00 1	100.00 1	99.91 104	99.95 109

tpmrst		98.98 122	98.93 109	99.14 158	99.61 146	97.74 225	99.52 280	99.36 179	96.05 204	99.98 80	99.64 222	99.04 81	99.86 141	98.94 155	98.19 161	99.82 166

test-mter		98.96 124	98.82 121	99.40 138	99.40 186	99.28 128	100.00 1	99.45 95	95.44 228	99.42 164	99.12 254	99.70 16	99.01 221	96.82 233	99.99 87	99.91 125

CDS-MVSNet		98.96 124	98.95 107	99.01 164	99.48 177	98.36 178	99.93 210	99.37 173	96.79 169	99.31 170	99.83 188	99.77 12	98.91 228	98.07 198	97.98 169	99.77 176
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVSFormer		98.94 126	98.82 121	99.28 149	99.45 178	99.49 111	100.00 1	99.13 260	95.46 226	99.97 84	100.00 1	96.76 155	98.59 265	98.63 172	100.00 1	99.74 183

MVS_Test		98.93 127	98.65 136	99.77 106	99.62 144	99.50 108	99.99 173	99.19 242	95.52 221	99.96 87	99.86 183	96.54 161	99.98 93	98.65 170	98.48 138	99.82 166

1112_ss		98.91 128	98.71 131	99.51 129	99.69 129	98.75 160	99.99 173	99.15 251	96.82 167	98.84 197	100.00 1	97.45 132	99.89 137	98.66 168	97.75 186	99.89 138

MSDG		98.90 129	98.63 138	99.70 110	99.92 90	99.25 132	100.00 1	99.37 173	95.71 213	99.40 168	100.00 1	96.58 158	99.95 118	96.80 235	99.94 102	99.91 125

mvs-test1		98.89 130	98.99 101	98.60 185	99.77 121	95.96 262	100.00 1	98.94 298	97.61 122	99.93 113	99.92 176	95.89 168	99.93 131	99.36 135	99.50 119	99.90 133

DP-MVS		98.86 131	98.54 145	99.81 90	99.97 75	99.45 117	99.52 280	99.40 152	94.35 247	98.36 227	100.00 1	96.13 166	99.97 97	99.12 150	100.00 1	100.00 1

CostFormer		98.84 132	98.77 126	99.04 162	99.41 182	97.58 230	99.67 266	99.35 187	94.66 238	99.96 87	99.36 245	99.28 63	99.74 159	99.41 133	97.81 182	99.81 168

Test_1112_low_res		98.83 133	98.60 141	99.51 129	99.69 129	98.75 160	99.99 173	99.14 255	96.81 168	98.84 197	99.06 258	97.45 132	99.89 137	98.66 168	97.75 186	99.89 138

BH-w/o		98.82 134	98.81 123	98.88 173	99.62 144	96.71 256	100.00 1	99.28 216	97.09 154	98.81 199	100.00 1	94.91 187	99.96 112	99.54 121	100.00 1	99.96 104

mvs_anonymous		98.80 135	98.60 141	99.38 141	99.57 157	99.24 134	100.00 1	99.21 239	95.87 207	98.92 190	99.82 191	96.39 164	99.03 219	99.13 149	98.50 136	99.88 150

TAMVS		98.76 136	98.73 129	98.86 174	99.44 180	97.69 226	99.57 275	99.34 192	96.57 184	99.12 180	99.81 194	98.83 99	99.16 214	97.97 203	97.91 172	99.73 187

OpenMVS	95.20 17	98.76 136	98.41 150	99.78 104	98.89 227	99.81 76	99.99 173	99.76 45	98.02 80	98.02 244	100.00 1	91.44 231	100.00 1	99.63 110	99.97 97	99.55 196

dp		98.72 138	98.61 140	99.03 163	99.53 163	97.39 234	99.45 284	99.39 166	95.62 216	99.94 108	99.52 237	98.83 99	99.82 150	96.77 237	98.42 143	99.89 138

tpmp4_e23		98.71 139	98.66 133	98.84 175	99.60 148	96.98 251	99.83 227	99.35 187	94.29 248	99.90 116	99.50 239	99.17 73	99.73 160	98.22 188	98.13 163	99.81 168

PVSNet_BlendedMVS		98.71 139	98.62 139	98.98 167	99.98 71	99.60 104	100.00 1	100.00 1	97.23 144	100.00 1	99.03 268	96.57 159	99.99 80	100.00 1	94.75 235	97.35 302

ADS-MVSNet		98.70 141	98.51 147	99.28 149	99.51 171	98.39 174	99.24 300	99.44 104	95.52 221	99.96 87	99.70 207	97.57 130	99.58 175	97.11 225	98.54 134	99.88 150

PCF-MVS	98.23 3	98.69 142	98.37 153	99.62 114	99.78 119	99.02 147	99.23 306	99.06 289	96.43 191	98.08 239	100.00 1	94.72 188	99.95 118	98.16 190	99.91 104	99.90 133
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
tpm2		98.64 143	98.58 143	98.81 178	99.42 181	97.12 246	99.69 263	99.37 173	93.63 269	99.94 108	99.67 215	98.96 89	99.47 199	98.62 174	97.95 170	99.83 163

BH-untuned		98.64 143	98.65 136	98.60 185	99.59 151	96.17 261	100.00 1	99.28 216	96.67 179	98.41 226	100.00 1	94.52 190	99.83 148	99.41 133	100.00 1	99.81 168

tpmvs		98.59 145	98.38 152	99.23 153	99.69 129	97.90 217	99.31 295	99.47 81	94.52 242	99.68 150	99.28 250	97.64 128	99.89 137	97.71 208	98.17 162	99.89 138

Effi-MVS+		98.58 146	98.24 157	99.61 115	99.60 148	99.26 130	97.85 337	99.10 268	96.22 201	99.97 84	99.89 179	93.75 196	99.77 156	99.43 127	98.34 151	99.81 168

MVSTER		98.58 146	98.52 146	98.77 179	99.65 137	99.68 99	100.00 1	99.29 208	95.63 215	98.65 209	99.80 197	99.78 6	98.88 234	98.59 175	95.31 219	97.73 251

CVMVSNet		98.56 148	98.47 149	98.82 176	99.11 201	97.67 227	99.74 249	99.47 81	97.57 127	99.06 185	100.00 1	95.72 174	98.97 225	98.21 189	97.33 202	99.83 163

AllTest		98.55 149	98.40 151	98.99 165	99.93 87	97.35 237	100.00 1	99.40 152	97.08 156	99.09 181	99.98 139	93.37 200	99.95 118	96.94 228	99.84 110	99.68 190

DeepPCF-MVS	98.03 4	98.54 150	99.72 15	94.98 300	99.99 45	84.94 326	100.00 1	99.42 119	99.98 1	100.00 1	100.00 1	98.11 120	100.00 1	100.00 1	100.00 1	100.00 1

EPNet_dtu		98.53 151	98.23 159	99.43 135	99.92 90	99.01 150	99.96 198	99.47 81	98.80 35	99.96 87	99.96 158	98.56 111	99.30 211	87.78 317	99.68 115	100.00 1
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
diffmvs		98.52 152	98.11 162	99.73 109	99.59 151	99.47 116	100.00 1	99.19 242	93.68 266	99.70 149	99.75 200	95.07 183	99.84 146	97.57 212	98.48 138	99.89 138

Vis-MVSNet		98.52 152	98.25 156	99.34 144	99.68 132	98.55 169	99.68 265	99.41 150	97.34 140	99.94 108	100.00 1	90.38 251	99.70 164	99.03 153	98.84 129	99.76 178
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Effi-MVS+-dtu		98.51 154	98.86 119	97.47 249	99.77 121	94.21 295	100.00 1	98.94 298	97.61 122	99.91 115	98.75 288	95.89 168	99.51 195	99.36 135	99.48 120	98.68 205

BH-RMVSNet		98.46 155	98.08 164	99.59 121	99.61 146	99.19 138	100.00 1	99.28 216	97.06 158	98.95 189	100.00 1	88.99 269	99.82 150	98.83 162	100.00 1	99.77 176

cascas		98.43 156	98.07 165	99.50 131	99.65 137	99.02 147	100.00 1	99.22 235	94.21 251	99.72 142	99.98 139	92.03 216	99.93 131	99.68 104	98.12 164	99.54 197

ab-mvs		98.42 157	98.02 168	99.61 115	99.71 127	99.00 151	99.10 319	99.64 70	96.70 175	99.04 186	99.81 194	90.64 245	99.98 93	99.64 109	97.93 171	99.84 160

UGNet		98.41 158	98.11 162	99.31 147	99.54 160	98.55 169	99.18 309	100.00 1	98.64 43	99.79 135	99.04 263	87.61 281	100.00 1	99.30 141	99.89 106	99.40 201
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
Fast-Effi-MVS+		98.40 159	98.02 168	99.55 128	99.63 142	99.06 144	100.00 1	99.15 251	95.07 230	99.42 164	99.95 169	93.26 203	99.73 160	97.44 217	98.24 157	99.87 157

Fast-Effi-MVS+-dtu		98.38 160	98.56 144	97.82 238	99.58 155	94.44 292	100.00 1	99.16 250	96.75 170	99.51 159	99.63 226	95.03 185	99.60 171	97.71 208	99.67 116	99.42 200

XVG-OURS		98.30 161	98.36 154	98.13 219	99.58 155	95.91 265	100.00 1	99.36 179	98.69 38	99.23 173	100.00 1	91.20 235	99.92 134	99.34 137	97.82 181	98.56 209

COLMAP_ROB	97.10 7	98.29 162	98.17 161	98.65 183	99.94 85	97.39 234	99.30 296	99.40 152	95.64 214	97.75 255	100.00 1	92.69 210	99.95 118	98.89 157	99.92 103	98.62 208
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ADS-MVSNet2		98.28 163	98.51 147	97.62 242	99.51 171	95.03 272	99.24 300	99.41 150	95.52 221	99.96 87	99.70 207	97.57 130	97.94 300	97.11 225	98.54 134	99.88 150

XVG-OURS-SEG-HR		98.27 164	98.31 155	98.14 216	99.59 151	95.92 264	100.00 1	99.36 179	98.48 47	99.21 174	100.00 1	89.27 266	99.94 129	99.76 96	99.17 121	98.56 209

tpm		98.24 165	98.22 160	98.32 199	99.13 200	95.79 266	99.53 279	99.12 266	95.20 229	99.96 87	99.36 245	97.58 129	99.28 212	97.41 219	96.67 208	99.88 150

Patchmatch-test1		98.23 166	97.91 171	99.17 156	99.41 182	98.25 191	99.99 173	99.45 95	96.91 166	99.76 139	99.69 209	89.65 261	99.37 207	97.55 213	98.79 130	99.89 138

TR-MVS		98.14 167	97.74 175	99.33 145	99.59 151	98.28 185	99.27 297	99.21 239	96.42 193	99.15 179	99.94 173	88.87 271	99.79 155	98.88 158	98.29 154	99.93 122

test0.0.03 1		98.12 168	98.03 167	98.39 192	99.11 201	98.07 207	100.00 1	99.93 31	96.70 175	96.91 276	99.95 169	99.31 53	98.19 283	91.93 292	98.44 141	98.91 203

tpm cat1		98.05 169	97.76 174	98.92 171	99.50 174	97.10 248	99.77 243	99.30 204	90.20 303	99.72 142	98.71 290	97.71 126	99.86 141	96.75 238	98.20 160	99.81 168

PS-MVSNAJss		98.03 170	98.06 166	97.94 233	97.63 292	97.33 240	99.89 218	99.23 233	96.27 200	98.03 242	99.59 230	98.75 104	98.78 243	98.52 177	94.61 239	97.70 264

CR-MVSNet		98.02 171	97.71 178	98.93 169	99.31 193	98.86 157	99.13 317	99.00 296	96.53 187	99.96 87	98.98 274	96.94 152	98.10 292	91.18 295	98.40 144	99.84 160

EI-MVSNet		97.98 172	97.93 170	98.16 215	99.11 201	97.84 223	99.74 249	99.29 208	94.39 246	98.65 209	100.00 1	97.21 135	98.88 234	97.62 211	95.31 219	97.75 219

FIs		97.95 173	97.73 177	98.62 184	98.53 241	99.24 134	100.00 1	99.43 113	96.74 171	97.87 250	99.82 191	95.27 180	98.89 231	98.78 163	93.07 250	97.74 241

FC-MVSNet-test		97.84 174	97.63 179	98.45 189	98.30 250	99.05 145	100.00 1	99.43 113	96.63 182	97.61 259	99.82 191	95.19 182	98.57 268	98.64 171	93.05 251	97.73 251

Patchmatch-test		97.83 175	97.42 181	99.06 159	99.08 204	97.66 228	98.66 330	99.21 239	93.65 268	98.25 236	99.58 231	99.47 38	99.57 176	90.25 306	98.59 133	99.95 109

HQP-MVS		97.73 176	97.85 172	97.39 251	99.07 205	94.82 276	100.00 1	99.40 152	99.04 13	99.17 175	99.97 149	88.61 273	99.57 176	99.79 90	95.58 210	97.77 213

GA-MVS		97.72 177	97.27 186	99.06 159	99.24 198	97.93 216	100.00 1	99.24 230	95.80 212	98.99 188	99.64 222	89.77 259	99.36 208	95.12 258	97.62 199	99.89 138

HQP_MVS		97.71 178	97.82 173	97.37 252	99.00 217	94.80 279	100.00 1	99.40 152	99.00 19	99.08 183	99.97 149	88.58 275	99.55 185	99.79 90	95.57 214	97.76 215

nrg030		97.64 179	97.27 186	98.75 180	98.34 246	99.53 107	100.00 1	99.22 235	96.21 202	98.27 234	99.95 169	94.40 191	98.98 224	99.23 144	89.78 288	97.75 219

TAPA-MVS	96.40 10	97.64 179	97.37 184	98.45 189	99.94 85	95.70 267	100.00 1	99.40 152	97.65 118	99.53 158	100.00 1	99.31 53	99.66 170	80.48 329	100.00 1	100.00 1
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CLD-MVS		97.64 179	97.74 175	97.36 253	99.01 213	94.76 284	100.00 1	99.34 192	99.30 4	99.00 187	99.97 149	87.49 282	99.57 176	99.96 65	95.58 210	97.75 219
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
IterMVS-LS		97.56 182	97.44 180	97.92 236	99.38 190	97.90 217	99.89 218	99.10 268	94.41 245	98.32 230	99.54 236	97.21 135	98.11 289	97.50 216	91.62 263	97.75 219
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test_djsdf		97.55 183	97.38 183	98.07 223	97.50 298	97.99 211	100.00 1	99.13 260	95.46 226	98.47 224	99.85 185	92.01 218	98.59 265	98.63 172	95.36 217	97.62 287

IB-MVS	96.24 12	97.54 184	96.95 191	99.33 145	99.67 133	98.10 205	100.00 1	99.47 81	97.42 135	99.26 172	99.69 209	98.83 99	99.89 137	99.43 127	78.77 328	100.00 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
LFMVS		97.42 185	96.62 203	99.81 90	99.80 112	99.50 108	99.16 315	99.56 72	94.48 244	100.00 1	100.00 1	79.35 326	100.00 1	99.89 77	97.37 201	99.94 113

RPSCF		97.37 186	98.24 157	94.76 302	99.80 112	84.57 327	99.99 173	99.05 291	94.95 233	99.82 132	100.00 1	94.03 193	100.00 1	98.15 191	98.38 149	99.70 188

ACMM	97.17 6	97.37 186	97.40 182	97.29 255	99.01 213	94.64 288	100.00 1	99.25 227	98.07 77	98.44 225	99.98 139	87.38 283	99.55 185	99.25 143	95.19 226	97.69 269
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LPG-MVS_test		97.31 188	97.32 185	97.28 256	98.85 232	94.60 289	100.00 1	99.37 173	97.35 138	98.85 195	99.98 139	86.66 289	99.56 180	99.55 118	95.26 221	97.70 264

FMVSNet3		97.30 189	96.95 191	98.37 194	99.65 137	99.25 132	99.71 257	99.28 216	94.23 249	98.53 219	98.91 281	93.30 202	98.11 289	95.31 254	93.60 244	97.73 251

UniMVSNet (Re)		97.29 190	96.85 195	98.59 187	98.49 242	99.13 141	100.00 1	99.42 119	96.52 188	98.24 237	98.90 282	94.93 186	98.89 231	97.54 215	87.61 306	97.75 219

OPM-MVS		97.21 191	97.18 189	97.32 254	98.08 270	94.66 286	100.00 1	99.28 216	98.65 42	98.92 190	99.98 139	86.03 295	99.56 180	98.28 187	95.41 216	97.72 256

ACMP	97.00 8	97.19 192	97.16 190	97.27 258	98.97 222	94.58 291	100.00 1	99.32 197	97.97 86	97.45 263	99.98 139	85.79 297	99.56 180	99.70 102	95.24 224	97.67 275
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
pmmvs4		97.17 193	96.80 196	98.27 203	97.68 289	98.64 166	100.00 1	99.18 246	94.22 250	98.55 217	99.71 204	93.67 197	98.47 275	95.66 248	92.57 255	97.71 263

anonymousdsp		97.16 194	96.88 193	98.00 229	97.08 309	98.06 208	99.81 234	99.15 251	94.58 240	97.84 251	99.62 228	90.49 248	98.60 263	97.98 200	95.32 218	97.33 304

UniMVSNet_NR-MVSNet		97.16 194	96.80 196	98.22 210	98.38 245	98.41 172	100.00 1	99.45 95	96.14 203	97.76 252	99.64 222	95.05 184	98.50 272	97.98 200	86.84 309	97.75 219

XXY-MVS		97.14 196	96.63 202	98.67 182	98.65 235	98.92 155	99.54 278	99.29 208	95.57 218	97.63 257	99.83 188	87.79 280	99.35 209	98.39 181	92.95 252	97.75 219

WR-MVS		97.09 197	96.64 201	98.46 188	98.43 243	99.09 142	99.97 195	99.33 194	95.62 216	97.76 252	99.67 215	91.17 236	98.56 269	98.49 178	89.28 292	97.74 241

JIA-IIPM		97.09 197	96.34 212	99.36 142	98.88 228	98.59 167	99.81 234	99.43 113	84.81 328	99.96 87	90.34 340	98.55 112	99.52 193	97.00 227	98.28 156	99.98 90

jajsoiax		97.07 199	96.79 198	97.89 237	97.28 307	97.12 246	99.95 204	99.19 242	96.55 185	97.31 266	99.69 209	87.35 285	98.91 228	98.70 167	95.12 230	97.66 277

MIMVSNet		97.06 200	96.73 199	98.05 227	99.38 190	96.64 258	98.47 333	99.35 187	93.41 274	99.48 161	98.53 297	89.66 260	97.70 304	94.16 273	98.11 165	99.80 175

X-MVStestdata		97.04 201	96.06 228	99.98 16	100.00 1	99.94 27	100.00 1	99.75 49	98.67 40	100.00 1	66.97 353	99.16 74	100.00 1	100.00 1	100.00 1	100.00 1

VPA-MVSNet		97.03 202	96.43 210	98.82 176	98.64 236	99.32 125	99.38 290	99.47 81	96.73 173	98.91 192	98.94 279	87.00 287	99.40 205	99.23 144	89.59 289	97.76 215

testpf		97.02 203	96.87 194	97.44 250	99.50 174	95.18 270	95.70 342	99.33 194	91.35 295	98.00 246	99.22 252	96.29 165	98.49 274	94.42 267	98.07 167	98.67 206

mvs_tets		97.00 204	96.69 200	97.94 233	97.41 306	97.27 241	99.60 273	99.18 246	96.51 189	97.35 265	99.69 209	86.53 291	98.91 228	98.84 160	95.09 231	97.65 281

gg-mvs-nofinetune		96.95 205	96.10 226	99.50 131	99.41 182	99.36 124	99.07 323	99.52 74	83.69 331	99.96 87	83.60 348	100.00 1	99.20 213	99.68 104	99.99 87	99.96 104

DU-MVS		96.93 206	96.49 207	98.22 210	98.31 248	98.41 172	100.00 1	99.37 173	96.41 194	97.76 252	99.65 218	92.14 214	98.50 272	97.98 200	86.84 309	97.75 219

Patchmtry		96.81 207	96.37 211	98.14 216	99.31 193	98.55 169	98.91 326	99.00 296	90.45 300	97.92 248	98.98 274	96.94 152	98.12 287	94.27 270	91.53 264	97.75 219

v1neww		96.77 208	96.27 215	98.26 205	98.16 260	98.23 192	100.00 1	99.09 271	93.94 256	98.73 204	99.05 260	91.65 221	98.82 239	95.75 244	90.04 279	97.74 241

v7new		96.77 208	96.27 215	98.26 205	98.16 260	98.23 192	100.00 1	99.09 271	93.94 256	98.73 204	99.05 260	91.65 221	98.82 239	95.75 244	90.04 279	97.74 241

v6		96.77 208	96.26 217	98.29 201	98.10 266	98.27 187	100.00 1	99.09 271	93.95 255	98.73 204	99.06 258	91.51 228	98.86 236	95.83 242	90.04 279	97.74 241

ACMH	96.25 11	96.77 208	96.62 203	97.21 259	98.96 223	94.43 293	99.64 270	99.33 194	97.43 134	96.55 282	99.97 149	83.52 308	99.54 188	99.07 152	95.13 229	97.66 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IterMVS		96.76 212	96.46 209	97.63 240	99.41 182	96.89 252	99.99 173	99.13 260	94.74 237	97.59 260	99.66 217	89.63 263	98.28 282	95.71 246	92.31 257	97.72 256
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CP-MVSNet		96.73 213	96.25 218	98.18 213	98.21 255	98.67 165	99.77 243	99.32 197	95.06 231	97.20 270	99.65 218	90.10 253	98.19 283	98.06 199	88.90 296	97.66 277

WR-MVS_H		96.73 213	96.32 214	97.95 232	98.26 252	97.88 219	99.72 255	99.43 113	95.06 231	96.99 273	98.68 291	93.02 206	98.53 270	97.43 218	88.33 302	97.43 298

v2v482		96.70 215	96.18 219	98.27 203	98.04 275	98.39 174	100.00 1	99.13 260	94.19 252	98.58 216	99.08 257	90.48 249	98.67 258	95.69 247	90.44 277	97.75 219

divwei89l23v2f112		96.68 216	96.15 222	98.25 209	98.03 276	98.27 187	100.00 1	99.09 271	93.79 259	98.59 214	99.04 263	91.54 227	98.73 250	95.29 257	89.99 283	97.75 219

v1141		96.66 217	96.12 224	98.26 205	98.05 273	98.28 185	100.00 1	99.09 271	93.71 260	98.59 214	99.04 263	91.57 225	98.73 250	95.05 259	90.00 282	97.75 219

v1		96.66 217	96.12 224	98.30 200	98.09 267	98.33 180	100.00 1	99.09 271	93.69 265	98.68 207	99.04 263	91.42 232	98.83 238	95.05 259	89.99 283	97.75 219

V42		96.65 219	96.16 221	98.11 222	98.17 259	98.23 192	99.99 173	99.09 271	93.97 253	98.74 203	99.05 260	91.09 241	98.82 239	95.46 252	89.90 286	97.27 305

v7		96.64 220	96.14 223	98.13 219	98.18 257	97.97 213	99.99 173	99.09 271	93.62 270	98.76 201	99.30 248	91.13 238	98.70 255	94.37 268	90.80 272	97.74 241

EU-MVSNet		96.63 221	96.53 205	96.94 267	97.59 294	96.87 253	99.76 246	99.47 81	96.35 197	96.85 278	99.78 198	92.57 211	96.27 322	95.33 253	91.08 269	97.68 271

NR-MVSNet		96.63 221	96.04 229	98.38 193	98.31 248	98.98 152	99.22 308	99.35 187	95.87 207	94.43 298	99.65 218	92.73 209	98.40 278	96.78 236	88.05 303	97.75 219

XVG-ACMP-BASELINE		96.60 223	96.52 206	96.84 278	98.41 244	93.29 303	99.99 173	99.32 197	97.76 105	98.51 222	99.29 249	81.95 314	99.54 188	98.40 180	95.03 232	97.68 271

VDD-MVS		96.58 224	95.99 231	98.34 197	99.52 168	95.33 268	99.18 309	99.38 170	96.64 180	99.77 137	100.00 1	72.51 337	100.00 1	100.00 1	96.94 206	99.70 188

LCM-MVSNet-Re		96.52 225	97.21 188	94.44 303	99.27 196	85.80 325	99.85 225	96.61 343	95.98 205	92.75 306	98.48 298	93.97 195	97.55 305	99.58 116	98.43 142	99.98 90

MVP-Stereo		96.51 226	96.48 208	96.60 286	95.65 319	94.25 294	98.84 328	98.16 320	95.85 211	95.23 292	99.04 263	92.54 212	99.13 215	92.98 285	99.98 94	96.43 314
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
v1144		96.51 226	95.97 233	98.13 219	97.98 280	98.04 210	99.99 173	99.08 279	93.51 273	98.62 212	98.98 274	90.98 244	98.62 260	93.79 278	90.79 273	97.74 241

ACMH+	96.20 13	96.49 228	96.33 213	97.00 264	99.06 209	93.80 298	99.81 234	99.31 202	97.32 141	95.89 289	99.97 149	82.62 312	99.54 188	98.34 184	94.63 238	97.65 281

TranMVSNet+NR-MVSNet		96.45 229	96.01 230	97.79 239	98.00 279	97.62 229	100.00 1	99.35 187	95.98 205	97.31 266	99.64 222	90.09 254	98.00 299	96.89 231	86.80 312	97.75 219

VPNet		96.41 230	95.76 241	98.33 198	98.61 237	98.30 184	99.48 283	99.45 95	96.98 159	98.87 194	99.88 180	81.57 316	98.93 226	99.22 146	87.82 305	97.76 215

PVSNet_0	93.57 19	96.41 230	95.74 242	98.41 191	99.84 97	95.22 269	100.00 1	100.00 1	98.08 76	97.55 261	99.78 198	84.40 302	100.00 1	100.00 1	81.99 320	100.00 1

v144192		96.40 232	95.81 237	98.17 214	97.89 284	98.11 204	99.99 173	99.06 289	93.39 275	98.75 202	99.09 256	90.43 250	98.66 259	93.10 284	90.55 276	97.75 219

VDDNet		96.39 233	95.55 249	98.90 172	99.27 196	97.45 231	99.15 316	99.92 35	91.28 296	99.98 80	100.00 1	73.55 335	100.00 1	99.85 82	96.98 205	99.24 202

tfpnnormal		96.36 234	95.69 246	98.37 194	98.55 239	98.71 162	99.69 263	99.45 95	93.16 281	96.69 281	99.71 204	88.44 277	98.99 223	94.17 271	91.38 266	97.41 299

v8		96.35 235	95.73 243	98.21 212	98.11 265	98.23 192	99.94 208	99.07 281	92.66 285	98.29 232	99.00 273	91.46 230	98.77 246	94.17 271	88.83 298	97.62 287

PS-CasMVS		96.34 236	95.78 240	98.03 228	98.18 257	98.27 187	99.71 257	99.32 197	94.75 235	96.82 279	99.65 218	86.98 288	98.15 285	97.74 207	88.85 297	97.66 277

LTVRE_ROB	95.29 16	96.32 237	96.10 226	96.99 265	98.55 239	93.88 297	99.45 284	99.28 216	94.50 243	96.46 283	99.52 237	84.86 300	99.48 198	97.26 222	95.03 232	97.59 291
Andreas Kuhn, Heiko HirschmÃ¼ller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
v148		96.29 238	95.84 236	97.63 240	97.74 287	96.53 259	100.00 1	99.07 281	93.52 272	98.01 245	99.42 244	91.22 234	98.60 263	96.37 240	87.22 308	97.75 219

DI_MVS_plusplus_test		96.28 239	95.16 262	99.61 115	96.01 316	99.18 139	100.00 1	99.29 208	96.49 190	89.08 313	98.42 302	80.06 321	99.90 135	98.74 166	98.39 146	99.75 179

test_normal		96.24 240	95.12 264	99.60 118	96.00 317	99.16 140	100.00 1	99.29 208	96.43 191	88.96 316	98.40 303	80.06 321	99.90 135	98.53 176	98.39 146	99.75 179

FMVSNet2		96.22 241	95.60 248	98.06 226	99.53 163	98.33 180	99.45 284	99.27 223	93.71 260	98.03 242	98.84 284	84.23 304	98.10 292	93.97 276	93.40 247	97.73 251

LF4IMVS		96.19 242	96.18 219	96.23 292	98.26 252	92.09 312	100.00 1	97.89 330	97.82 100	97.94 247	99.87 181	82.71 311	99.38 206	97.41 219	93.71 243	97.20 306

v1192		96.18 243	95.49 252	98.26 205	98.01 277	98.15 202	99.99 173	99.08 279	93.36 276	98.54 218	98.97 277	89.47 264	98.89 231	91.15 296	90.82 271	97.75 219

testgi		96.18 243	95.93 234	96.93 268	98.98 221	94.20 296	100.00 1	99.07 281	97.16 149	96.06 286	99.86 183	84.08 307	97.79 302	90.38 303	97.80 183	98.81 204

v1921920		96.16 245	95.50 250	98.14 216	97.88 285	97.96 214	99.99 173	99.07 281	93.33 277	98.60 213	99.24 251	89.37 265	98.71 254	91.28 294	90.74 274	97.75 219

Baseline_NR-MVSNet		96.16 245	95.70 244	97.56 245	98.28 251	96.79 255	100.00 1	97.86 331	91.93 291	97.63 257	99.47 242	92.14 214	98.35 280	97.13 224	86.83 311	97.54 294

v10		96.14 247	95.50 250	98.07 223	98.19 256	97.96 214	99.83 227	99.07 281	92.10 289	98.07 241	98.94 279	91.07 242	98.61 261	92.41 291	89.82 287	97.63 285

OurMVSNet-221017-0		96.14 247	95.98 232	96.62 285	97.49 300	93.44 301	99.92 212	98.16 320	95.86 209	97.65 256	99.95 169	85.71 298	98.78 243	94.93 262	94.18 242	97.64 284

GBi-Net		96.07 249	95.80 238	96.89 270	99.53 163	94.87 273	99.18 309	99.27 223	93.71 260	98.53 219	98.81 285	84.23 304	98.07 295	95.31 254	93.60 244	97.72 256

test1		96.07 249	95.80 238	96.89 270	99.53 163	94.87 273	99.18 309	99.27 223	93.71 260	98.53 219	98.81 285	84.23 304	98.07 295	95.31 254	93.60 244	97.72 256

v7n		96.06 251	95.42 256	97.99 231	97.58 295	97.35 237	99.86 224	99.11 267	92.81 284	97.91 249	99.49 240	90.99 243	98.92 227	92.51 288	88.49 301	97.70 264

PEN-MVS		96.01 252	95.48 254	97.58 244	97.74 287	97.26 242	99.90 215	99.29 208	94.55 241	96.79 280	99.55 234	87.38 283	97.84 301	96.92 230	87.24 307	97.65 281

v1240		95.96 253	95.25 260	98.07 223	97.91 283	97.87 221	99.96 198	99.07 281	93.24 279	98.64 211	98.96 278	88.98 270	98.61 261	89.58 309	90.92 270	97.75 219

pmmvs5		95.94 254	95.61 247	96.95 266	97.42 304	94.66 286	100.00 1	98.08 324	93.60 271	97.05 272	99.43 243	87.02 286	98.46 276	95.76 243	92.12 258	97.72 256

PatchT		95.90 255	94.95 268	98.75 180	99.03 211	98.39 174	99.08 321	99.32 197	85.52 324	99.96 87	94.99 333	97.94 122	98.05 298	80.20 330	98.47 140	99.81 168

USDC		95.90 255	95.70 244	96.50 287	98.60 238	92.56 310	100.00 1	98.30 316	97.77 103	96.92 274	99.94 173	81.25 320	99.45 201	93.54 282	94.96 234	97.49 295

V4		95.89 257	95.36 257	97.49 247	97.65 291	97.40 233	99.88 221	99.07 281	92.19 287	98.08 239	99.01 271	90.20 252	98.72 252	93.57 281	88.63 299	96.34 315

LP		95.89 257	95.35 258	97.51 246	98.92 225	95.15 271	98.66 330	99.39 166	89.43 314	97.22 269	99.03 268	94.37 192	97.74 303	83.71 324	97.44 200	99.63 195

v52		95.88 259	95.35 258	97.48 248	97.66 290	97.38 236	99.88 221	99.07 281	92.19 287	98.09 238	99.02 270	90.06 255	98.72 252	93.58 280	88.61 300	96.34 315

pm-mvs1		95.76 260	95.01 266	98.00 229	98.23 254	97.45 231	99.24 300	99.04 294	93.13 282	95.93 288	99.72 202	86.28 292	98.84 237	95.62 250	87.92 304	97.72 256

SixPastTwentyTwo		95.71 261	95.49 252	96.38 289	97.42 304	93.01 304	99.84 226	98.23 317	94.75 235	95.98 287	99.97 149	85.35 299	98.43 277	94.71 263	93.17 249	97.69 269

MS-PatchMatch		95.66 262	95.87 235	95.05 298	97.80 286	89.25 320	98.88 327	99.30 204	96.35 197	96.86 277	99.01 271	81.35 319	99.43 202	93.30 283	99.98 94	96.46 313

DTE-MVSNet		95.52 263	94.99 267	97.08 261	97.49 300	96.45 260	100.00 1	99.25 227	93.82 258	96.17 284	99.57 233	87.81 279	97.18 306	94.57 264	86.26 314	97.62 287

TinyColmap		95.50 264	95.12 264	96.64 284	98.69 234	93.00 305	99.40 288	97.75 332	96.40 195	96.14 285	99.87 181	79.47 325	99.50 196	93.62 279	94.72 237	97.40 300

v748		95.47 265	94.95 268	97.04 262	97.46 303	94.76 284	99.93 210	99.10 268	91.95 290	97.11 271	99.18 253	89.94 258	98.68 256	94.01 275	85.88 315	97.67 275

K. test v3		95.46 266	95.14 263	96.40 288	97.53 297	93.40 302	99.99 173	99.23 233	95.49 224	92.70 307	99.73 201	84.26 303	98.12 287	93.94 277	93.38 248	97.68 271

FMVSNet5		95.32 267	95.43 255	94.99 299	99.39 189	92.99 306	99.25 299	99.24 230	90.45 300	97.44 264	98.45 299	95.78 171	94.39 331	87.02 318	91.88 261	97.59 291

DSMNet-mixed		95.18 268	95.21 261	95.08 297	96.03 315	90.21 318	99.65 269	93.64 348	92.91 283	98.34 229	97.40 310	90.05 256	95.51 329	91.02 297	97.86 176	99.51 199

RPMNet		95.10 269	93.82 272	98.93 169	99.31 193	98.86 157	99.13 317	99.38 170	79.82 336	99.96 87	95.13 331	95.69 175	98.10 292	77.54 336	98.40 144	99.84 160

TransMVSNet (Re)		94.78 270	93.72 273	97.93 235	98.34 246	97.88 219	99.23 306	97.98 328	91.60 293	94.55 296	99.71 204	87.89 278	98.36 279	89.30 314	84.92 316	97.56 293

FMVSNet1		94.45 271	93.63 275	96.89 270	98.87 230	94.87 273	99.18 309	99.27 223	90.95 299	97.31 266	98.81 285	72.89 336	98.07 295	92.61 286	92.81 253	97.72 256

test_0402		94.35 272	93.70 274	96.32 290	97.92 282	93.60 299	99.61 272	98.85 303	88.19 320	94.68 295	99.48 241	80.01 324	98.58 267	89.39 312	95.15 228	96.77 310

UnsupCasMVSNet_eth		94.25 273	93.89 271	95.34 296	97.63 292	92.13 311	99.73 253	99.36 179	94.88 234	92.78 304	98.63 294	82.72 310	96.53 312	94.57 264	84.73 317	97.36 301

MVS-HIRNet		94.12 274	92.73 283	98.29 201	99.33 192	95.95 263	99.38 290	99.19 242	74.54 338	98.26 235	86.34 344	86.07 293	99.06 218	91.60 293	99.87 109	99.85 159

new_pmnet		94.11 275	93.47 277	96.04 294	96.60 312	92.82 307	99.97 195	98.91 301	90.21 302	95.26 291	98.05 307	85.89 296	98.14 286	84.28 323	92.01 260	97.16 307

pmmvs6		93.64 276	92.87 281	95.94 295	97.47 302	91.41 317	98.92 325	99.02 295	87.84 321	95.01 293	99.61 229	77.24 331	98.77 246	94.33 269	86.41 313	97.63 285

v18		93.55 277	92.42 285	96.91 269	98.12 263	98.26 190	99.83 227	98.74 305	89.99 305	88.94 317	95.64 320	92.02 217	96.54 309	90.27 305	78.26 329	95.94 323

v17		93.53 278	92.42 285	96.88 274	98.09 267	98.16 200	99.83 227	98.74 305	89.95 306	89.05 314	95.65 319	91.99 219	96.54 309	90.31 304	78.15 331	95.95 321

Patchmatch-RL test		93.49 279	93.63 275	93.05 311	91.78 328	83.41 328	98.21 335	96.95 339	91.58 294	91.05 309	97.64 309	99.40 46	95.83 326	94.11 274	81.95 321	99.91 125

v16		93.48 280	92.34 287	96.89 270	98.13 262	98.19 198	99.82 232	98.74 305	89.94 307	88.90 318	95.62 321	91.65 221	96.54 309	90.03 307	78.22 330	95.95 321

Anonymous20231206		93.45 281	93.17 279	94.30 305	95.00 323	89.69 319	99.98 189	98.43 315	93.30 278	94.50 297	98.59 295	90.52 247	95.73 327	77.46 337	90.73 275	97.48 297

v15		93.28 282	92.08 288	96.87 275	98.07 271	98.22 196	99.82 232	98.74 305	89.83 308	88.74 320	95.44 325	91.55 226	96.47 313	89.70 308	76.87 333	95.93 324

V14		93.24 283	92.04 289	96.87 275	98.07 271	98.20 197	99.80 237	98.74 305	89.76 310	88.64 321	95.53 322	91.47 229	96.47 313	89.49 310	76.84 334	95.92 325

V9		93.20 284	91.99 291	96.85 277	98.05 273	98.16 200	99.77 243	98.73 311	89.67 311	88.64 321	95.44 325	91.34 233	96.47 313	89.46 311	76.79 335	95.92 325

v13		93.18 285	91.97 292	96.81 280	98.12 263	98.12 203	99.74 249	98.73 311	89.47 313	88.52 323	95.40 329	91.72 220	96.41 316	89.23 316	76.77 336	95.92 325

v12		93.18 285	91.97 292	96.80 281	98.09 267	98.10 205	99.76 246	98.73 311	89.61 312	88.45 324	95.41 328	91.63 224	96.39 318	89.32 313	76.76 337	95.91 328

v11		93.14 287	91.93 294	96.77 283	98.01 277	98.17 199	99.72 255	98.74 305	89.39 315	88.81 319	95.49 324	91.15 237	96.29 320	86.78 319	79.25 326	95.86 330

test20.03		93.11 288	92.85 282	93.88 310	95.19 322	91.83 313	100.00 1	98.87 302	93.68 266	92.76 305	98.88 283	89.20 267	92.71 336	77.88 335	89.19 293	97.09 308

EG-PatchMatch MVS		92.94 289	92.49 284	94.29 306	95.87 318	87.07 324	99.07 323	98.11 323	93.19 280	88.98 315	98.66 293	70.89 338	99.08 217	92.43 290	95.21 225	96.72 311

Test4		92.63 290	90.45 301	99.17 156	92.81 327	99.02 147	99.98 189	99.13 260	96.60 183	82.04 336	96.27 315	51.35 345	98.75 249	97.55 213	98.36 150	99.75 179

MDA-MVSNet_test_wron		92.61 291	91.09 297	97.19 260	96.71 311	97.26 242	100.00 1	99.14 255	88.61 317	67.90 344	98.32 306	89.03 268	96.57 308	90.47 302	89.59 289	97.74 241

test2356		92.55 292	93.94 270	88.39 318	93.49 326	78.42 332	100.00 1	99.40 152	91.64 292	93.93 300	98.74 289	91.11 239	88.67 341	79.37 332	97.79 184	98.08 211

YYNet1		92.44 293	90.92 298	97.03 263	96.20 313	97.06 249	99.99 173	99.14 255	88.21 319	67.93 343	98.43 301	88.63 272	96.28 321	90.64 298	89.08 295	97.74 241

MIMVSNet1		91.96 294	91.20 295	94.23 307	94.94 324	91.69 315	99.34 293	99.22 235	88.23 318	94.18 299	98.45 299	75.52 334	93.41 335	79.37 332	91.49 265	97.60 290

TDRefinement		91.93 295	90.48 300	96.27 291	81.60 343	92.65 309	99.10 319	97.61 335	93.96 254	93.77 302	99.85 185	80.03 323	99.53 192	97.82 206	70.59 340	96.63 312

OpenMVS_ROB	88.34 20	91.89 296	91.12 296	94.19 308	95.55 320	87.63 323	99.26 298	98.03 325	86.61 323	90.65 312	96.82 311	70.14 339	98.78 243	86.54 320	96.50 209	96.15 317

N_pmnet		91.88 297	93.37 278	87.40 320	97.24 308	66.33 345	99.90 215	91.05 350	89.77 309	95.65 290	98.58 296	90.05 256	98.11 289	85.39 321	92.72 254	97.75 219

pmmvs-eth3d		91.73 298	90.67 299	94.92 301	91.63 330	92.71 308	99.90 215	98.54 314	91.19 297	88.08 325	95.50 323	79.31 327	96.13 323	90.55 301	81.32 323	95.91 328

MDA-MVSNet-bldmvs		91.65 299	89.94 302	96.79 282	96.72 310	96.70 257	99.42 287	98.94 298	88.89 316	66.97 346	98.37 304	81.43 317	95.91 325	89.24 315	89.46 291	97.75 219

testus		91.61 300	92.92 280	87.70 319	93.91 325	74.98 336	100.00 1	98.19 319	92.59 286	93.90 301	98.68 291	81.43 317	90.77 339	79.82 331	97.71 192	97.34 303

testing_2		90.79 301	88.26 307	98.35 196	89.11 334	98.56 168	99.70 259	99.14 255	93.70 264	73.80 339	94.06 335	55.19 342	98.76 248	97.17 223	92.50 256	97.74 241

CMPMVS	66.12 22	90.65 302	92.04 289	86.46 322	96.18 314	66.87 344	98.03 336	99.38 170	83.38 332	85.49 331	99.55 234	77.59 330	98.80 242	94.44 266	94.31 241	93.72 335
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs3		90.62 303	89.36 304	94.40 304	90.53 332	91.49 316	100.00 1	96.73 341	84.21 330	93.65 303	96.65 312	82.56 313	94.83 330	82.28 326	77.62 332	96.89 309

new-patchmatchnet		90.30 304	89.46 303	92.84 312	90.77 331	88.55 322	99.83 227	98.80 304	90.07 304	87.86 326	95.00 332	78.77 328	94.30 332	84.86 322	79.15 327	95.68 332

UnsupCasMVSNet_bld		89.50 305	88.00 308	93.99 309	95.30 321	88.86 321	98.52 332	99.28 216	85.50 327	87.80 327	94.11 334	61.63 341	96.96 307	90.63 299	79.26 325	96.15 317

1111		88.62 306	89.13 305	87.08 321	87.71 335	77.22 333	99.96 198	97.71 333	85.51 325	83.47 334	96.26 316	95.76 172	90.96 337	66.63 343	89.17 294	93.07 336

PM-MVS		88.39 307	87.41 309	91.31 313	91.73 329	82.02 330	99.79 238	96.62 342	91.06 298	90.71 311	95.73 318	48.60 347	95.96 324	90.56 300	81.91 322	95.97 320

test1235678		88.02 308	88.73 306	85.90 324	87.57 337	71.70 340	100.00 1	97.42 336	87.52 322	86.19 329	96.39 314	81.60 315	87.93 342	70.72 340	91.18 268	98.08 211

test12356		86.30 309	87.15 310	83.77 328	84.24 340	72.00 338	99.94 208	96.80 340	84.63 329	85.16 332	96.51 313	77.02 332	86.31 345	70.06 341	89.93 285	93.00 337

.test1245		85.18 310	84.81 311	86.28 323	87.71 335	77.22 333	99.96 198	97.71 333	85.51 325	83.47 334	96.26 316	95.76 172	90.96 337	66.63 343	50.30 344	90.64 340

Gipuma		84.73 311	83.50 312	88.40 317	97.50 298	82.21 329	88.87 345	99.05 291	65.81 341	85.71 330	90.49 339	53.70 343	96.31 319	78.64 334	91.74 262	86.67 344
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
Anonymous20231211		84.35 312	82.41 313	90.15 314	89.14 333	78.88 331	98.71 329	98.22 318	70.20 340	86.88 328	95.44 325	47.11 349	95.72 328	81.14 327	74.88 338	95.84 331

testmvs		80.17 313	81.95 314	74.80 334	58.54 354	59.58 352	100.00 1	87.14 354	76.09 337	99.61 153	100.00 1	67.06 340	74.19 353	98.84 160	50.30 344	90.64 340

testmv		79.83 314	79.77 315	79.99 331	78.22 347	63.55 348	99.67 266	95.51 346	80.89 334	76.24 338	92.90 337	52.16 344	86.10 346	62.45 346	79.90 324	90.33 342

test123		79.44 315	79.23 317	80.05 330	80.03 345	71.72 339	100.00 1	77.93 357	62.52 342	94.81 294	99.69 209	78.21 329	74.53 352	92.57 287	27.33 352	93.90 333

PMMVS2		79.15 316	77.28 318	84.76 327	82.34 342	72.66 337	99.70 259	95.11 347	71.68 339	84.78 333	90.87 338	32.05 352	89.99 340	75.53 338	63.45 341	91.64 338

LCM-MVSNet		79.01 317	76.93 319	85.27 326	78.28 346	68.01 343	96.57 340	98.03 325	55.10 346	82.03 337	93.27 336	31.99 353	93.95 333	82.72 325	74.37 339	93.84 334

FPMVS		77.92 318	79.45 316	73.34 336	76.87 348	46.81 355	98.24 334	99.05 291	59.89 345	73.55 340	98.34 305	36.81 351	86.55 343	80.96 328	91.35 267	86.65 345

tmp_tt		75.80 319	74.26 320	80.43 329	52.91 356	53.67 354	87.42 347	97.98 328	61.80 343	67.04 345	100.00 1	76.43 333	96.40 317	96.47 239	28.26 351	91.23 339

no-one		74.65 320	71.03 321	85.51 325	80.99 344	75.42 335	99.70 259	97.15 337	81.02 333	66.48 347	80.55 351	29.10 354	93.65 334	73.74 339	30.53 350	87.47 343

E-PMN		70.72 321	70.06 322	72.69 338	83.92 341	65.48 347	99.95 204	92.72 349	49.88 349	72.30 341	86.26 345	47.17 348	77.43 350	53.83 350	44.49 346	75.17 352

PNet_i23d		69.93 322	67.61 324	76.86 332	75.89 349	62.08 351	97.85 337	88.23 352	61.04 344	55.65 349	84.10 347	19.35 356	83.21 347	66.45 345	59.98 342	85.29 347

EMVS		69.88 323	69.09 323	72.24 339	84.70 339	65.82 346	99.96 198	87.08 355	49.82 350	71.51 342	84.74 346	49.30 346	75.32 351	50.97 351	43.71 347	75.59 351

MVE	68.59 21	67.22 324	64.68 326	74.84 333	74.67 351	62.32 350	95.84 341	90.87 351	50.98 348	58.72 348	81.05 349	12.20 360	78.95 349	61.06 348	56.75 343	83.24 348
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
ANet_high		66.05 325	63.44 327	73.88 335	61.14 353	63.45 349	95.68 343	87.18 353	79.93 335	47.35 350	80.68 350	22.35 355	72.33 354	61.24 347	35.42 349	85.88 346

PMVS	60.66 23	65.98 326	65.05 325	68.75 340	55.06 355	38.40 356	88.19 346	96.98 338	48.30 351	44.82 352	88.52 342	12.22 359	86.49 344	67.58 342	83.79 319	81.35 349
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuykxyi23d		62.75 327	59.23 328	73.34 336	61.53 352	59.39 353	93.28 344	86.17 356	53.70 347	46.89 351	77.89 352	12.35 357	79.96 348	60.86 349	40.35 348	80.68 350

pcd1.5k->3k		40.07 328	42.58 329	32.57 341	97.97 281	0.00 358	0.00 349	99.25 227	0.00 353	0.00 354	0.14 355	91.10 240	0.00 356	0.00 353	94.75 235	97.70 264

wuyk23d		28.28 329	29.73 331	23.92 342	75.89 349	32.61 357	66.50 348	12.88 358	16.09 352	14.59 353	16.59 354	12.35 357	32.36 355	39.36 352	13.36 353	6.79 353

cdsmvs_eth3d_5k		24.41 330	32.55 330	0.00 343	0.00 357	0.00 358	0.00 349	99.39 166	0.00 353	0.00 354	100.00 1	93.55 199	0.00 356	0.00 353	0.00 354	0.00 354

ab-mvs-re		8.33 331	11.11 332	0.00 343	0.00 357	0.00 358	0.00 349	0.00 359	0.00 353	0.00 354	100.00 1	0.00 361	0.00 356	0.00 353	0.00 354	0.00 354

pcd_1.5k_mvsjas		8.24 332	10.99 333	0.00 343	0.00 357	0.00 358	0.00 349	0.00 359	0.00 353	0.00 354	0.14 355	98.75 104	0.00 356	0.00 353	0.00 354	0.00 354

sosnet-low-res		0.01 333	0.02 334	0.00 343	0.00 357	0.00 358	0.00 349	0.00 359	0.00 353	0.00 354	0.14 355	0.00 361	0.00 356	0.00 353	0.00 354	0.00 354

sosnet		0.01 333	0.02 334	0.00 343	0.00 357	0.00 358	0.00 349	0.00 359	0.00 353	0.00 354	0.14 355	0.00 361	0.00 356	0.00 353	0.00 354	0.00 354

uncertanet		0.01 333	0.02 334	0.00 343	0.00 357	0.00 358	0.00 349	0.00 359	0.00 353	0.00 354	0.14 355	0.00 361	0.00 356	0.00 353	0.00 354	0.00 354

Regformer		0.01 333	0.02 334	0.00 343	0.00 357	0.00 358	0.00 349	0.00 359	0.00 353	0.00 354	0.14 355	0.00 361	0.00 356	0.00 353	0.00 354	0.00 354

uanet		0.01 333	0.02 334	0.00 343	0.00 357	0.00 358	0.00 349	0.00 359	0.00 353	0.00 354	0.14 355	0.00 361	0.00 356	0.00 353	0.00 354	0.00 354

GSMVS																99.91 125

test_part3							100.00 1		98.23 64		100.00 1		100.00 1	100.00 1

test_part2					100.00 1	99.99 1				100.00 1

test_part1								99.42 119				99.53 24			100.00 1	100.00 1

sam_mvs1												99.29 60				99.91 125

sam_mvs												99.33 49

semantic-postprocess				97.62 242	99.40 186	96.83 254		99.14 255	94.65 239	97.55 261	99.72 202	89.64 262	98.31 281	95.62 250	92.05 259	97.73 251

ambc				88.45 316	86.84 338	70.76 342	97.79 339	98.02 327		90.91 310	95.14 330	38.69 350	98.51 271	94.97 261	84.23 318	96.09 319

MTGPA								99.42 119

test_post1							99.32 294				88.24 343	99.33 49	99.59 173	98.31 185

test_post											89.05 341	99.49 35	99.59 173

patchmatchnet-post											97.79 308	99.41 45	99.54 188

GG-mvs-BLEND				99.59 121	99.54 160	99.49 111	99.17 314	99.52 74		99.96 87	99.68 214	100.00 1	99.33 210	99.71 100	99.99 87	99.96 104

MTMP								99.18 246

gm-plane-assit					99.52 168	97.26 242			95.86 209		100.00 1		99.43 202	98.76 165

test9_res														100.00 1	100.00 1	100.00 1

TEST9					100.00 1	99.95 19	100.00 1	99.42 119	97.65 118	100.00 1	100.00 1	99.53 24	99.97 97

test_8					100.00 1	99.91 38	100.00 1	99.42 119	97.70 109	100.00 1	100.00 1	99.51 29	99.98 93

agg_prior2														100.00 1	100.00 1	100.00 1

agg_prior					100.00 1	99.88 58		99.42 119		100.00 1			99.97 97

TestCases				98.99 165	99.93 87	97.35 237		99.40 152	97.08 156	99.09 181	99.98 139	93.37 200	99.95 118	96.94 228	99.84 110	99.68 190

test_prior4						99.93 32	100.00 1

test_prior2							100.00 1		98.82 33	100.00 1	100.00 1	99.47 38		100.00 1	100.00 1

test_prior				99.90 70	100.00 1	99.75 83		99.73 54					99.97 97			100.00 1

旧先验2							100.00 1		98.11 75	100.00 1			100.00 1	99.67 106

新几何2							100.00 1

新几何1				99.99 5	100.00 1	99.96 10		99.81 41	97.89 93	100.00 1	100.00 1	99.20 70	100.00 1	97.91 204	100.00 1	100.00 1

旧先验1					99.99 45	99.88 58		99.82 40			100.00 1	99.27 64			100.00 1	100.00 1

无先验							100.00 1	99.80 42	97.98 84				100.00 1	99.33 138		100.00 1

原ACMM2							100.00 1

原ACMM1				99.93 60	100.00 1	99.80 78		99.66 69	98.18 66	100.00 1	100.00 1	99.43 43	100.00 1	99.50 125	100.00 1	100.00 1

test222					99.99 45	99.90 44	100.00 1	99.69 68	97.66 112	100.00 1	100.00 1	99.30 59			100.00 1	100.00 1

testdata2													100.00 1	97.36 221

segment_acmp												99.55 23

testdata				99.66 113	99.99 45	98.97 154		99.73 54	97.96 88	100.00 1	100.00 1	99.42 44	100.00 1	99.28 142	100.00 1	100.00 1

testdata1							100.00 1		98.77 37

test12				99.95 46	99.99 45	99.89 48		99.42 119		100.00 1		99.24 66	99.97 97		100.00 1	100.00 1

plane_prior7					99.00 217	94.78 283

plane_prior6					99.06 209	94.80 279						88.58 275

plane_prior5								99.40 152					99.55 185	99.79 90	95.57 214	97.76 215

plane_prior4											99.97 149

plane_prior3						94.79 282			99.03 16	99.08 183

plane_prior2							100.00 1		99.00 19

plane_prior1					99.02 212

plane_prior						94.80 279	100.00 1		99.03 16						95.58 210

n2								0.00 359

nn								0.00 359

door-mid								96.32 344

lessismore_v0				96.05 293	97.55 296	91.80 314		99.22 235		91.87 308	99.91 177	83.50 309	98.68 256	92.48 289	90.42 278	97.68 271

LGP-MVS_train				97.28 256	98.85 232	94.60 289		99.37 173	97.35 138	98.85 195	99.98 139	86.66 289	99.56 180	99.55 118	95.26 221	97.70 264

test11								99.42 119

door								96.13 345

HQP5-MVS						94.82 276

HQP-NCC					99.07 205		100.00 1		99.04 13	99.17 175

ACMP_Plane					99.07 205		100.00 1		99.04 13	99.17 175

BP-MVS														99.79 90

HQP4-MVS										99.17 175			99.57 176			97.77 213

HQP3-MVS								99.40 152							95.58 210

HQP2-MVS												88.61 273

NP-MVS					99.07 205	94.81 278					99.97 149

MDTV_nov1_ep13_2view						99.24 134	99.56 276		96.31 199	99.96 87		98.86 98		98.92 156		99.89 138

MDTV_nov1_ep13			98.94 108		99.53 163	98.36 178	99.39 289	99.46 93	96.54 186	99.99 75	99.63 226	98.92 94	99.86 141	98.30 186	98.71 132

ACMMP++_ref															94.58 240

ACMMP++															95.17 227

Test By Simon												99.10 77

ITE_SJBPF				96.84 278	98.96 223	93.49 300		98.12 322	98.12 74	98.35 228	99.97 149	84.45 301	99.56 180	95.63 249	95.25 223	97.49 295

DeepMVS_CX				89.98 315	98.90 226	71.46 341		99.18 246	97.61 122	96.92 274	99.83 188	86.07 293	99.83 148	96.02 241	97.65 198	98.65 207

High-resolution multi-view benchmark