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	courty.	delive.	electro	facade	kicker	meadow	office	pipes	playgr.	relief	relief.	terrace	terrai.

LTVRE_ROB	97.71 1	99.33 1	99.47 1	99.16 7	99.16 39	99.11 10	99.39 14	99.16 10	99.26 2	99.22 4	99.51 31	99.75 3	98.54 19	99.71 1	99.47 3	99.52 11	99.46 1
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
COLMAP_ROB	96.84 2	98.75 16	98.82 15	98.66 22	99.14 43	98.79 32	99.30 18	97.67 102	98.33 7	97.82 49	99.20 54	99.18 32	98.76 9	99.27 16	98.96 20	99.29 25	98.03 46
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
3Dnovator	96.31 3	97.22 98	97.19 77	97.25 110	98.14 122	97.95 111	98.03 108	96.77 161	96.42 31	97.14 78	95.11 160	97.59 133	95.14 132	97.79 74	97.72 85	98.26 98	97.76 59

3Dnovator+	96.20 4	97.58 65	97.14 82	98.10 46	98.98 57	97.85 128	98.60 80	98.33 42	96.41 32	97.23 77	94.66 169	97.26 139	96.91 89	97.91 70	97.87 80	98.53 78	98.03 46

DeepC-MVS	96.08 5	98.58 19	98.49 24	98.68 20	99.37 26	98.52 66	99.01 36	98.17 62	97.17 22	98.25 30	99.56 24	99.62 4	98.29 26	98.40 57	98.09 66	98.97 44	98.08 45
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS_fast	95.38 6	97.53 71	97.30 71	97.79 78	98.83 69	97.64 137	98.18 100	97.14 146	95.57 64	97.83 48	97.10 124	98.80 73	96.53 102	97.41 91	97.32 94	98.24 101	97.26 86
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMH	95.26 7	98.75 16	98.93 11	98.54 26	98.86 63	99.01 18	99.58 7	98.10 68	98.67 5	97.30 73	99.18 55	99.42 11	98.40 23	99.19 20	98.86 26	98.99 41	98.19 42
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMH+	94.90 8	98.40 23	98.71 18	98.04 58	98.93 58	98.84 26	99.30 18	97.86 89	97.78 15	94.19 178	98.77 72	99.39 13	98.61 15	99.33 12	99.07 13	99.33 21	97.81 54

OpenMVS	94.63 9	95.75 142	95.04 150	96.58 141	97.85 149	97.55 144	96.71 181	96.07 175	90.15 188	96.47 108	90.77 210	95.95 162	94.41 145	97.01 112	96.95 103	98.00 113	96.90 100

DeepPCF-MVS	94.55 10	97.05 104	97.13 85	96.95 123	96.06 208	97.12 161	98.01 111	95.44 194	95.18 82	97.50 61	97.86 102	98.08 116	97.31 79	97.23 97	97.00 102	97.36 146	97.45 76

ACMM	94.29 11	98.12 36	97.71 57	98.59 24	99.51 16	98.58 60	99.24 20	98.25 50	96.22 39	96.90 89	95.01 163	98.89 61	98.52 20	98.66 43	98.32 55	99.13 30	98.28 41
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMP	94.03 12	97.97 50	97.61 60	98.39 33	99.43 24	98.51 67	98.97 42	98.06 71	94.63 101	96.10 127	96.12 142	99.20 30	98.63 13	98.68 41	98.20 62	99.14 29	97.93 50
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
TAPA-MVS	93.96 13	96.79 115	96.70 113	96.90 128	97.64 163	97.58 140	97.54 141	94.50 214	95.14 83	96.64 102	96.76 128	97.90 123	96.63 94	95.98 153	96.14 139	98.45 88	97.39 79
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PCF-MVS	92.69 14	95.98 135	95.05 149	97.06 118	98.43 88	97.56 143	97.76 126	96.65 167	89.95 190	95.70 142	96.18 141	98.48 101	95.74 118	93.64 197	93.35 193	98.09 110	96.18 126
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLC	92.55 15	96.10 131	95.36 138	96.96 122	98.13 125	96.88 167	96.49 186	96.67 166	94.07 128	95.71 141	91.14 205	96.09 160	96.84 90	96.70 124	96.58 122	97.92 117	96.03 130
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
IB-MVS	92.44 16	93.33 186	92.15 190	94.70 189	97.42 177	96.39 180	95.57 207	94.67 209	86.40 223	93.59 189	78.28 239	95.76 164	89.59 201	95.88 156	95.98 146	97.39 142	96.34 123
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
PMVS	90.51 17	97.77 59	97.98 40	97.53 94	98.68 77	98.14 93	97.67 129	97.03 150	96.43 30	98.38 25	98.72 75	97.03 146	94.44 144	99.37 11	99.30 9	98.98 43	96.86 105
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVE	72.99 18	85.37 233	89.43 206	80.63 234	74.43 242	71.94 244	88.25 241	89.81 226	93.27 144	67.32 242	96.32 137	91.83 188	90.40 192	93.36 198	90.79 209	73.55 241	88.49 211
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CMPMVS	71.81 19	92.34 194	92.85 180	91.75 218	92.70 235	90.43 228	88.84 240	88.56 228	85.87 224	94.35 174	90.98 206	95.89 163	91.14 183	96.14 144	94.83 173	94.93 200	95.78 137
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
Anonymous202405211			97.39 69		98.85 64	98.59 58	97.89 121	97.93 81	94.41 116		97.37 114	96.99 147	93.09 164	98.61 46	98.46 42	99.11 32	97.27 85

Anonymous20240521		97.56 66	97.63 59	97.47 99	98.41 89	99.12 9	98.63 78	98.57 22	95.71 58	95.60 146	93.79 183	98.01 120	94.25 148	99.16 22	98.88 25	99.35 19	98.74 16

our_test_3					97.32 182	95.13 195	97.59 137

SMA-MVS		98.13 35	98.22 30	98.02 61	99.44 23	98.73 45	98.24 99	97.87 88	95.22 79	96.76 96	98.66 78	99.35 15	97.03 86	98.53 52	98.39 48	98.80 60	98.69 18

tfpn111		93.73 183	91.63 196	96.17 156	97.52 169	98.15 90	97.48 145	97.48 119	87.65 206	93.42 192	82.19 233	84.12 200	92.62 171	97.04 106	98.09 66	98.52 79	94.17 171

conf0.01		91.86 198	88.22 210	96.10 158	97.40 178	97.94 114	97.48 145	97.41 134	87.65 206	93.22 198	80.39 235	63.83 237	92.62 171	96.63 127	98.09 66	98.47 86	93.03 187

ESAPD		97.99 45	98.12 34	97.84 74	98.65 79	98.86 24	98.86 55	98.05 73	94.18 124	95.49 149	98.90 63	99.33 16	97.11 83	98.53 52	98.65 36	98.86 57	98.39 37

conf0.002		91.12 206	86.87 221	96.08 159	97.35 181	97.89 123	97.48 145	97.38 136	87.65 206	93.19 199	79.38 237	57.48 242	92.62 171	96.56 129	96.64 118	98.46 87	92.50 190

thresconf0.02		91.75 200	88.21 211	95.87 164	97.38 179	97.14 158	97.27 163	96.85 157	93.04 151	92.39 208	82.19 233	63.31 238	93.10 163	94.43 187	95.06 168	98.23 102	92.32 191

tfpn_n400		95.11 155	93.86 167	96.57 142	98.16 120	97.92 117	97.59 137	97.90 83	95.90 50	92.83 205	89.94 211	83.01 208	94.23 151	97.50 88	97.43 89	98.73 65	95.30 148

tfpnconf		95.11 155	93.86 167	96.57 142	98.16 120	97.92 117	97.59 137	97.90 83	95.90 50	92.83 205	89.94 211	83.01 208	94.23 151	97.50 88	97.43 89	98.73 65	95.30 148

tfpnview11		94.92 160	93.56 171	96.50 146	98.12 126	97.99 107	97.48 145	97.86 89	94.50 111	92.83 205	89.94 211	83.01 208	94.19 153	96.91 117	98.07 74	98.50 82	94.53 163

tfpn1000		94.36 170	93.33 177	95.56 175	98.09 128	98.07 98	97.08 171	97.78 97	94.02 130	89.16 222	91.38 203	80.56 218	92.54 178	96.76 121	98.09 66	98.69 68	94.40 170

tfpn_ndepth		93.27 187	92.11 191	94.61 190	96.96 193	97.93 116	96.87 176	97.49 117	90.91 178	87.89 230	85.98 221	83.53 205	89.77 199	95.91 155	97.31 96	98.67 70	93.25 182

conf200view11		93.79 182	91.75 194	96.17 156	97.52 169	98.15 90	97.48 145	97.48 119	87.65 206	93.42 192	83.03 230	84.12 200	92.62 171	97.04 106	98.09 66	98.52 79	94.17 171

thres100view900		92.93 188	90.89 200	95.31 179	97.52 169	96.82 171	96.41 187	95.08 199	87.65 206	93.56 190	83.03 230	84.12 200	91.12 184	94.53 181	96.91 106	98.17 106	93.21 184

tfpnnormal		97.66 61	97.79 49	97.52 97	98.32 98	98.53 65	98.45 88	97.69 101	97.59 18	96.12 126	97.79 104	96.70 149	95.69 120	98.35 62	98.34 52	98.85 58	97.22 92

tfpn200view9		93.80 181	91.75 194	96.20 154	97.52 169	98.15 90	97.48 145	97.47 121	87.65 206	93.56 190	83.03 230	84.12 200	92.62 171	97.04 106	98.09 66	98.52 79	94.17 171

view600		94.36 170	92.33 187	96.73 133	98.14 122	98.03 103	97.88 122	97.36 139	91.61 166	94.29 175	84.38 225	82.08 213	94.31 147	97.05 105	98.75 31	98.42 91	94.41 168

view800		94.54 166	92.55 182	96.86 130	98.28 104	98.22 82	97.97 114	97.62 105	92.10 162	94.19 178	85.52 223	81.33 216	94.61 140	97.41 91	98.51 39	98.50 82	94.72 160

conf0.05thres1000		95.91 139	94.67 157	97.37 102	98.54 82	98.73 45	98.41 91	98.07 70	96.10 40	94.93 163	92.83 192	80.67 217	95.26 126	98.68 41	98.65 36	98.99 41	97.02 96

tfpn		92.86 189	89.37 207	96.93 125	98.40 90	98.34 77	98.02 110	97.80 95	92.54 155	93.99 181	86.54 220	57.58 241	94.82 135	97.66 83	97.99 77	98.56 74	94.95 157

v1.0		90.15 210	83.75 233	97.62 87	99.21 34	98.80 31	98.31 95	98.30 44	93.60 138	94.74 166	97.94 99	99.24 27	96.58 98	98.42 56	98.27 57	98.56 74	0.00 242

CHOSEN 280x420		91.55 202	90.27 202	93.05 206	94.61 227	88.01 237	96.56 184	94.62 211	88.04 204	94.20 176	92.66 193	86.60 196	90.82 187	95.06 174	91.89 203	87.49 233	89.61 204

CANet		96.81 113	96.50 116	97.17 113	99.10 49	97.96 109	97.86 124	97.51 112	91.30 172	97.75 50	97.64 106	97.89 124	93.39 162	96.98 113	96.73 113	97.40 140	96.99 97

Fast-Effi-MVS+-dtu		94.34 172	93.26 178	95.62 172	97.82 155	95.97 188	95.86 200	99.01 12	86.88 215	93.39 195	90.83 208	95.46 165	90.61 190	94.46 186	94.68 175	97.01 172	94.51 164

Effi-MVS+-dtu		95.94 138	95.08 148	96.94 124	98.54 82	97.38 149	96.66 182	97.89 86	88.68 195	95.92 131	92.90 191	97.28 138	94.18 154	96.68 125	96.13 141	98.45 88	96.51 121

CANet_DTU		94.96 159	94.62 159	95.35 178	98.03 131	96.11 186	96.92 174	95.60 191	88.59 197	97.27 75	95.27 158	96.50 154	88.77 206	95.53 164	95.59 158	95.54 196	94.78 158

MVS_0304		97.18 99	96.84 107	97.58 90	99.15 40	98.19 84	98.11 104	97.81 94	92.36 159	98.06 41	97.43 112	99.06 40	94.24 149	96.80 120	96.54 123	98.12 107	97.52 71

HSP-MVS		97.44 81	97.13 85	97.79 78	99.34 28	98.99 19	99.23 21	98.12 65	93.43 142	95.95 130	97.45 111	99.50 8	96.44 105	96.35 135	95.33 165	97.65 129	98.89 8

TSAR-MVS + MP.		98.15 32	98.23 29	98.06 56	98.47 85	98.16 89	99.23 21	96.87 155	95.58 63	96.72 97	98.41 86	99.06 40	98.05 34	98.99 27	98.90 23	99.00 39	98.51 29

OPM-MVS		98.01 41	98.01 39	98.00 62	99.11 47	98.12 94	98.68 76	97.72 100	96.65 28	96.68 101	98.40 87	99.28 21	97.44 72	98.20 65	97.82 84	98.40 92	97.58 67

ACMMP_Plus		98.12 36	98.08 36	98.18 41	99.34 28	98.74 43	98.97 42	98.00 76	95.13 84	96.90 89	97.54 110	99.27 22	97.18 81	98.72 38	98.45 44	98.68 69	98.69 18

ambc			96.78 110		99.01 54	97.11 162	95.73 205		95.91 49	99.25 2	98.56 81	97.17 141	97.04 85	96.76 121	95.22 167	96.72 181	96.73 111

zzz-MVS		98.14 33	97.78 51	98.55 25	99.58 6	98.58 60	98.98 40	98.48 26	95.98 45	97.39 68	94.73 167	99.27 22	97.98 40	98.81 33	98.64 38	98.90 51	98.46 31

Effi-MVS+		96.46 125	95.28 142	97.85 73	98.64 80	97.16 156	97.15 170	98.75 19	90.27 185	98.03 43	93.93 181	96.21 157	96.55 101	96.34 136	96.69 116	97.97 115	96.33 124

new-patchmatchnet		94.48 167	94.02 164	95.02 186	97.51 174	95.00 196	95.68 206	94.26 216	97.32 20	95.73 139	99.60 20	98.22 113	91.30 181	94.13 191	84.41 222	95.65 195	89.45 205

pmmvs6		98.77 15	99.35 2	98.09 47	98.32 98	98.92 20	98.57 81	99.03 11	99.36 1	96.86 94	99.77 5	99.86 1	96.20 110	99.56 4	99.39 6	99.59 5	98.61 22

pmmvs5		95.70 143	95.22 143	96.26 153	96.55 204	97.24 152	97.50 143	94.99 203	90.95 177	96.87 91	98.47 84	97.40 135	94.45 143	92.86 205	94.98 170	97.23 157	94.64 162

Fast-Effi-MVS+		96.80 114	95.92 133	97.84 74	98.57 81	97.46 148	98.06 106	98.24 51	89.64 192	97.57 59	96.45 134	97.35 137	96.73 92	97.22 98	96.64 118	97.86 118	96.65 114

Anonymous20231211		97.49 77	97.91 42	97.00 121	98.31 101	98.72 48	98.27 97	97.84 92	94.76 96	94.77 165	98.14 95	98.38 105	93.60 160	98.96 29	98.66 35	99.22 27	97.77 57

pmmvs-eth3d		96.84 112	96.22 123	97.56 91	97.63 165	96.38 181	98.74 72	96.91 154	94.63 101	98.26 29	99.43 40	98.28 108	96.58 98	94.52 183	95.54 159	97.24 156	94.75 159

GG-mvs-BLEND		61.03 236	87.02 220	30.71 238	0.74 246	90.01 229	78.90 244	0.74 243	84.56 228	9.46 245	79.17 238	90.69 192	1.37 243	91.74 214	89.13 216	93.04 209	83.83 230

Anonymous20231206		95.69 144	95.68 135	95.70 169	98.32 98	96.95 165	97.37 155	96.65 167	93.33 143	93.61 188	98.70 77	98.03 118	91.04 185	95.07 173	94.59 177	97.20 159	93.09 186

MTAPA										97.43 66		99.27 22

MTMP										97.63 54		99.03 45

gm-plane-assit		91.85 199	87.91 213	96.44 150	99.14 43	98.25 80	99.02 32	97.38 136	95.57 64	98.31 28	99.34 48	51.00 246	88.93 204	93.16 202	91.57 205	95.85 194	86.50 220

train_agg		96.68 119	95.93 132	97.56 91	99.08 51	97.16 156	98.44 90	97.37 138	91.12 175	95.18 155	95.43 155	98.48 101	97.36 75	96.48 131	95.52 160	97.95 116	97.34 84

gg-mvs-nofinetune		94.13 176	93.93 166	94.37 193	97.99 136	95.86 189	95.45 214	99.22 8	97.61 17	95.10 158	99.50 32	84.50 199	81.73 230	95.31 169	94.12 181	96.71 182	90.59 198

MS-PatchMatch		94.84 162	94.76 155	94.94 187	96.38 205	94.69 199	95.90 199	94.03 218	92.49 156	93.81 184	95.79 150	96.38 155	94.54 141	94.70 178	94.85 172	94.97 199	94.43 167

Patchmatch-RL test							17.42 246

tmp_tt				45.72 237	60.00 243	38.74 245	45.50 245	12.18 240	79.58 240	68.42 241	67.62 241	65.04 236	22.12 240	84.83 234	78.72 233	66.08 242

canonicalmvs		97.11 101	96.88 101	97.38 101	98.34 94	98.72 48	97.52 142	97.94 80	95.60 61	95.01 161	94.58 170	94.50 174	96.59 97	97.84 72	98.03 75	98.90 51	98.91 7

anonymousdsp		98.85 14	98.88 13	98.83 14	98.69 76	98.20 83	99.68 1	97.35 140	97.09 23	98.98 12	99.86 1	99.43 10	98.94 6	99.28 15	99.19 12	99.33 21	99.08 4

v144192		97.49 77	96.99 95	98.07 54	98.11 127	97.95 111	99.02 32	97.21 144	94.90 92	98.88 15	99.53 30	98.89 61	97.75 51	95.59 163	95.90 152	97.43 137	96.16 127

v1921920		97.50 76	97.00 93	98.07 54	98.20 114	97.94 114	99.03 31	97.06 148	95.29 78	99.01 11	99.62 18	98.73 83	97.74 52	95.52 165	95.78 156	97.39 142	96.12 129

FC-MVSNet-train		97.65 62	98.16 32	97.05 119	98.85 64	98.85 25	99.34 15	98.08 69	94.50 111	94.41 172	99.21 53	98.80 73	92.66 170	98.98 28	98.85 27	98.96 46	97.94 49

UA-Net		98.66 18	98.60 22	98.73 18	99.83 1	99.28 8	98.56 83	99.24 7	96.04 42	97.12 81	98.44 85	98.95 56	98.17 30	99.15 23	99.00 17	99.48 16	99.33 2

v1192		97.52 72	97.03 91	98.09 47	98.31 101	98.01 105	98.96 45	97.25 143	95.22 79	98.89 14	99.64 14	98.83 69	97.68 57	95.63 162	95.91 151	97.47 134	95.97 132

FC-MVSNet-test		97.54 68	98.26 28	96.70 135	98.87 62	97.79 134	98.49 85	98.56 23	96.04 42	90.39 213	99.65 13	98.67 86	95.15 130	99.23 18	99.07 13	98.73 65	97.39 79

v1144		97.51 73	97.05 89	98.04 58	98.26 107	97.98 108	98.88 54	97.42 130	95.38 74	98.56 20	99.59 23	99.01 47	97.65 59	95.77 160	96.06 145	97.47 134	95.56 143

sosnet-low-res		0.00 239	0.00 241	0.00 241	0.00 247	0.00 248	0.00 249	0.00 244	0.00 245	0.00 248	0.00 244	0.00 249	0.00 244	0.00 243	0.00 242	0.00 246	0.00 242

HFP-MVS		98.17 30	98.02 38	98.35 35	99.36 27	98.62 56	98.79 60	98.46 31	96.24 38	96.53 106	97.13 123	98.98 50	98.02 35	98.20 65	98.42 46	98.95 48	98.54 25

v148		96.99 107	96.70 113	97.34 103	97.89 148	97.23 153	98.33 93	96.96 151	95.57 64	97.12 81	98.99 60	99.40 12	97.23 80	96.22 143	95.45 161	96.50 184	94.02 176

sosnet		0.00 239	0.00 241	0.00 241	0.00 247	0.00 248	0.00 249	0.00 244	0.00 245	0.00 248	0.00 244	0.00 249	0.00 244	0.00 243	0.00 242	0.00 246	0.00 242

v748		98.92 12	98.95 9	98.87 10	98.54 82	98.69 51	99.33 16	98.64 21	98.07 11	99.06 9	99.66 11	99.76 2	98.68 11	99.25 17	98.72 32	99.01 37	98.54 25

v7n		99.03 6	99.03 8	99.02 9	99.09 50	99.11 10	99.57 9	98.82 17	98.21 8	99.25 2	99.84 3	99.59 7	98.76 9	99.23 18	98.83 28	98.63 71	98.40 35

v1141		97.36 89	96.92 97	97.88 71	98.18 117	97.90 121	98.76 63	97.42 130	95.38 74	98.07 39	99.56 24	98.87 64	97.59 67	95.78 157	95.98 146	97.29 151	94.97 155

v1neww		97.30 91	96.88 101	97.78 81	97.99 136	97.87 124	98.75 69	97.46 122	94.54 107	97.62 55	99.48 33	98.76 79	97.65 59	96.09 147	96.15 135	97.20 159	95.28 150

DI_MVS_plusplus_trai		95.48 146	94.51 160	96.61 139	97.13 189	97.30 150	98.05 107	96.79 160	93.75 136	95.08 159	96.38 135	89.76 194	94.95 133	93.97 196	94.82 174	97.64 130	95.63 141

v7new		97.30 91	96.88 101	97.78 81	97.99 136	97.87 124	98.75 69	97.46 122	94.54 107	97.62 55	99.48 33	98.76 79	97.65 59	96.09 147	96.15 135	97.20 159	95.28 150

HPM-MVS++		97.56 66	97.11 87	98.09 47	99.18 38	97.95 111	98.57 81	98.20 56	94.08 127	97.25 76	95.96 148	98.81 72	97.13 82	97.51 86	97.30 97	98.21 103	98.15 43

XVS					99.48 18	98.76 38	99.22 23			96.40 113		98.78 75				98.94 49

v1240		97.43 84	96.87 106	98.09 47	98.25 108	97.92 117	99.02 32	97.06 148	94.77 95	99.09 7	99.68 9	98.51 99	97.78 49	95.25 170	95.81 154	97.32 149	96.13 128

v18		97.40 85	97.04 90	97.81 77	97.90 147	98.42 73	98.71 75	98.17 62	94.06 129	97.34 72	99.40 44	98.59 94	97.60 65	96.05 150	96.12 142	97.14 167	96.67 113

pm-mvs1		98.14 33	98.66 19	97.53 94	97.93 144	98.49 69	98.14 103	98.19 58	97.95 13	96.17 125	99.63 17	98.85 67	95.41 124	98.91 31	98.89 24	99.34 20	97.86 53

X-MVStestdata					99.48 18	98.76 38	99.22 23			96.40 113		98.78 75				98.94 49

v17		97.54 68	97.21 75	97.92 64	98.02 132	98.50 68	98.79 60	98.24 51	94.39 118	97.60 58	99.45 39	98.72 84	97.68 57	96.29 139	96.28 131	97.19 163	96.86 105

v16		97.51 73	97.19 77	97.89 68	97.99 136	98.49 69	98.77 62	98.23 54	94.29 120	97.48 62	99.42 42	98.68 85	97.69 56	96.28 140	96.29 130	97.18 164	96.85 107

divwei89l23v2f112		97.37 87	96.92 97	97.89 68	98.18 117	97.90 121	98.76 63	97.42 130	95.38 74	98.09 37	99.56 24	98.87 64	97.59 67	95.78 157	95.98 146	97.29 151	94.97 155

v15		97.77 59	97.50 68	98.09 47	98.23 109	98.62 56	98.90 51	98.32 43	95.51 71	98.01 44	99.60 20	98.95 56	97.78 49	96.47 132	96.45 126	97.32 149	96.90 100

v13		98.04 40	97.86 45	98.24 38	98.36 93	98.77 34	99.04 30	98.47 28	95.93 48	98.20 34	99.67 10	99.11 34	98.00 37	97.11 102	96.93 105	97.40 140	97.53 69

v12		97.98 47	97.78 51	98.21 39	98.33 95	98.74 43	99.01 36	98.44 33	95.82 55	98.13 35	99.64 14	99.08 38	97.95 41	96.97 114	96.82 108	97.39 142	97.38 82

X-MVS		97.60 64	97.00 93	98.29 36	99.50 17	98.76 38	98.90 51	98.37 38	94.67 100	96.40 113	91.47 202	98.78 75	97.60 65	98.55 49	98.50 40	98.96 46	98.29 38

v8		97.51 73	97.16 80	97.91 65	97.99 136	98.48 71	98.76 63	98.17 62	94.54 107	97.69 52	99.48 33	98.76 79	97.63 64	96.10 146	96.14 139	97.20 159	96.64 115

v7		97.45 80	97.01 92	97.97 63	98.07 129	97.96 109	98.86 55	97.50 114	94.46 114	98.24 31	99.56 24	98.98 50	97.72 53	96.05 150	96.26 133	97.42 138	95.79 136

v6		97.30 91	96.88 101	97.78 81	97.99 136	97.87 124	98.75 69	97.46 122	94.54 107	97.61 57	99.48 33	98.77 78	97.65 59	96.09 147	96.15 135	97.21 158	95.28 150

v11		97.94 52	97.72 56	98.20 40	98.37 92	98.69 51	98.96 45	98.30 44	95.68 59	98.35 27	99.70 8	99.19 31	97.93 42	96.76 121	96.82 108	97.28 154	97.23 90

v52		98.98 9	99.10 6	98.85 12	98.91 59	99.03 16	99.41 12	97.77 98	98.12 9	99.07 8	99.84 3	99.60 5	99.15 2	99.29 14	98.99 18	98.79 63	98.79 11

V14		97.85 55	97.60 61	98.13 44	98.27 105	98.66 54	98.94 47	98.36 39	95.62 60	98.04 42	99.62 18	98.99 48	97.84 47	96.65 126	96.59 121	97.34 148	97.07 95

v10		97.64 63	97.26 72	98.08 52	98.07 129	98.56 63	98.86 55	98.18 61	94.48 113	98.24 31	99.56 24	98.98 50	97.72 53	96.05 150	96.26 133	97.42 138	96.93 99

V4		98.98 9	99.10 6	98.85 12	98.91 59	99.03 16	99.41 12	97.77 98	98.12 9	99.06 9	99.85 2	99.60 5	99.15 2	99.30 13	98.99 18	98.80 60	98.79 11

v2v482		97.33 90	96.84 107	97.90 66	98.19 115	97.83 129	98.74 72	97.44 129	95.42 73	98.23 33	99.46 37	98.84 68	97.46 71	95.51 166	96.10 143	97.36 146	94.72 160

v1		97.37 87	96.92 97	97.89 68	98.18 117	97.91 120	98.76 63	97.42 130	95.38 74	98.09 37	99.55 29	98.88 63	97.59 67	95.78 157	95.98 146	97.29 151	94.98 154

V42		97.10 102	96.97 96	97.26 107	97.64 163	97.60 139	98.45 88	95.99 177	94.44 115	97.35 71	99.40 44	98.63 91	97.34 77	96.33 138	96.38 129	96.82 179	96.00 131

V9		97.91 54	97.70 58	98.17 42	98.30 103	98.70 50	98.98 40	98.40 35	95.72 57	98.07 39	99.64 14	99.04 44	97.90 44	96.82 118	96.71 115	97.37 145	97.23 90

SD-MVS		97.84 56	97.78 51	97.90 66	98.33 95	98.06 99	97.95 115	97.80 95	96.03 44	96.72 97	97.57 108	99.18 32	97.50 70	97.88 71	97.08 100	99.11 32	98.68 20

GA-MVS		94.18 175	92.98 179	95.58 173	97.36 180	96.42 176	96.21 195	95.86 181	90.29 184	95.08 159	96.19 140	85.37 198	92.82 168	94.01 194	94.14 180	96.16 191	94.41 168

MSLP-MVS++		96.66 121	96.46 119	96.89 129	98.02 132	97.71 135	95.57 207	96.96 151	94.36 119	96.19 124	91.37 204	98.24 110	97.07 84	97.69 78	97.89 79	97.52 132	97.95 48

APDe-MVS		98.29 25	98.42 25	98.14 43	99.45 21	98.90 21	99.18 25	98.30 44	95.96 47	95.13 156	98.79 70	99.25 25	97.92 43	98.80 34	98.71 33	98.85 58	98.54 25

TSAR-MVS + COLMAP		96.05 133	95.94 131	96.18 155	97.46 176	96.41 177	97.26 164	95.83 184	94.69 98	95.30 152	98.31 88	96.52 153	94.71 138	95.48 167	94.87 171	96.54 183	95.33 145

CVMVSNet		94.01 179	94.25 162	93.73 200	94.36 229	92.44 211	97.45 151	88.56 228	95.59 62	93.06 203	98.88 64	90.03 193	94.84 134	94.08 192	93.45 189	94.09 201	95.31 146

TSAR-MVS + ACMM		97.54 68	97.79 49	97.26 107	98.23 109	98.10 97	97.71 128	97.88 87	95.97 46	95.57 148	98.71 76	98.57 96	97.36 75	97.74 76	96.81 111	96.83 177	98.59 23

pmmvs4		95.37 150	94.25 162	96.67 138	97.01 192	95.28 194	97.60 136	96.07 175	93.11 149	97.29 74	98.09 97	94.23 177	95.21 128	91.56 215	93.91 185	96.82 179	93.59 180

EU-MVSNet		96.03 134	96.23 122	95.80 167	95.48 222	94.18 200	98.99 38	91.51 223	97.22 21	97.66 53	99.15 56	98.51 99	98.08 32	95.92 154	92.88 198	93.09 208	95.72 140

test-LLR		89.77 215	87.47 217	92.45 211	98.01 134	89.77 230	93.25 232	95.80 185	81.56 236	89.19 220	92.08 198	79.59 220	85.77 223	91.47 217	89.04 217	92.69 212	88.75 208

TESTMET0.1,1		88.60 223	87.47 217	89.93 227	94.23 231	89.77 230	93.25 232	84.47 236	81.56 236	89.19 220	92.08 198	79.59 220	85.77 223	91.47 217	89.04 217	92.69 212	88.75 208

test-mter		89.16 218	88.14 212	90.37 224	94.79 226	91.05 225	93.60 231	85.26 235	81.65 235	88.32 227	92.22 196	79.35 222	87.03 216	92.28 209	90.12 211	93.19 207	90.29 201

ACMMPR		98.31 24	98.07 37	98.60 23	99.58 6	98.83 27	99.09 28	98.48 26	96.25 37	97.03 85	96.81 126	99.09 35	98.39 24	98.55 49	98.45 44	99.01 37	98.53 28

testgi		94.81 163	96.05 128	93.35 203	99.06 52	96.87 169	97.57 140	96.70 164	95.77 56	88.60 225	93.19 189	98.87 64	81.21 231	97.03 111	96.64 118	96.97 174	93.99 177

test20.03		96.08 132	96.80 109	95.25 183	99.19 37	97.58 140	97.24 165	97.56 110	94.95 90	91.91 209	98.58 80	98.03 118	87.88 211	97.43 90	96.94 104	97.69 126	94.05 175

thres600view7		94.34 172	92.31 188	96.70 135	98.19 115	98.12 94	97.85 125	97.45 127	91.49 170	93.98 182	84.27 226	82.02 214	94.24 149	97.04 106	98.76 30	98.49 84	94.47 166

1111		88.65 222	87.69 215	89.78 228	98.84 66	94.02 201	95.79 202	98.19 58	91.57 168	82.27 237	98.19 92	53.19 244	74.80 236	94.98 175	93.04 196	88.80 228	88.82 207

.test1245		69.06 235	63.57 238	75.47 236	98.84 66	94.02 201	95.79 202	98.19 58	91.57 168	82.27 237	98.19 92	53.19 244	74.80 236	94.98 175	5.51 240	2.94 243	7.51 239

ADS-MVSNet		89.89 213	87.70 214	92.43 212	95.52 220	90.91 226	95.57 207	95.33 196	93.19 146	91.21 211	93.41 186	82.12 212	89.05 202	86.21 230	83.77 225	87.92 230	84.31 226

MP-MVS		97.98 47	97.53 66	98.50 27	99.56 9	98.58 60	98.97 42	98.39 36	93.49 140	97.14 78	96.08 144	99.23 28	98.06 33	98.50 54	98.38 49	98.90 51	98.44 33
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs		4.99 237	6.88 239	2.78 240	1.73 244	2.04 247	3.10 247	1.71 241	7.27 243	3.92 247	12.18 242	6.71 247	3.31 242	6.94 241	5.51 240	2.94 243	7.51 239

thres400		94.04 178	91.94 192	96.50 146	97.98 142	97.82 131	97.66 131	96.96 151	90.96 176	94.20 176	83.24 228	82.82 211	93.80 158	96.50 130	98.09 66	98.38 93	94.15 174

test123		4.41 238	5.71 240	2.88 239	1.28 245	2.21 246	3.09 248	1.65 242	6.35 244	4.98 246	8.53 243	3.88 248	3.46 241	5.79 242	5.71 239	2.85 245	7.50 241

thres200		93.98 180	91.90 193	96.40 151	97.66 162	98.12 94	97.20 166	97.45 127	90.16 187	93.82 183	83.08 229	83.74 204	93.80 158	97.04 106	97.48 88	98.49 84	93.70 178

test0.0.03 1		91.17 205	91.50 197	90.80 223	98.01 134	95.46 192	94.22 225	95.80 185	86.55 221	81.75 240	90.83 208	87.93 195	78.48 234	94.51 185	94.11 182	96.50 184	91.08 196

test12356		88.21 225	89.73 205	86.43 233	91.94 237	89.52 233	91.79 235	86.07 233	85.51 225	81.97 239	95.56 154	96.20 158	79.11 233	94.14 190	90.94 208	87.70 232	76.23 236

testus		90.01 211	90.03 204	89.98 225	95.89 213	91.43 223	93.88 228	89.30 227	83.54 232	89.68 218	87.81 218	94.62 171	78.31 235	92.87 204	92.01 202	92.85 210	87.91 214

pmmvs3		91.20 204	91.40 199	90.96 222	91.71 239	91.08 224	95.41 215	81.34 238	87.36 213	94.57 170	95.02 162	94.30 176	90.42 191	94.28 189	89.26 214	92.30 216	88.49 211

testmv		92.35 193	92.53 184	92.13 214	97.16 187	92.68 210	96.31 192	94.61 213	86.68 219	88.16 228	97.27 119	97.09 145	83.28 228	94.52 183	93.39 191	93.26 204	86.10 222

EMVS		86.63 230	84.48 230	89.15 230	95.51 221	83.66 240	90.19 237	86.14 232	91.78 165	88.68 224	93.83 182	81.97 215	89.05 202	92.76 206	76.09 237	85.31 237	71.28 238

E-PMN		86.94 228	85.10 228	89.09 231	95.77 216	83.54 241	89.89 238	86.55 230	92.18 161	87.34 232	94.02 178	83.42 206	89.63 200	93.32 199	77.11 236	85.33 236	72.09 237

test2356		85.48 232	81.66 235	89.94 226	95.36 224	88.71 235	91.69 236	92.78 220	78.28 241	86.79 233	85.80 222	58.29 240	80.44 232	89.39 224	89.17 215	92.60 215	81.98 234

test1235678		92.36 192	92.55 182	92.13 214	97.16 187	92.69 209	96.32 191	94.62 211	86.69 218	88.16 228	97.28 118	97.13 144	83.28 228	94.54 180	93.40 190	93.26 204	86.11 221

PGM-MVS		97.82 58	97.25 73	98.48 29	99.54 11	98.75 42	99.02 32	98.35 41	92.41 158	96.84 95	95.39 156	98.99 48	98.24 27	98.43 55	98.34 52	98.90 51	98.41 34

MCST-MVS		96.79 115	96.08 126	97.62 87	98.78 71	97.52 146	98.01 111	97.32 141	93.20 145	95.84 135	93.97 180	98.12 114	97.34 77	96.34 136	95.88 153	98.45 88	97.51 72

MVS_Test		95.34 152	94.88 154	95.89 163	96.93 194	96.84 170	96.66 182	97.08 147	90.06 189	94.02 180	97.61 107	96.64 150	93.59 161	92.73 207	94.02 183	97.03 171	96.24 125

MDA-MVSNet-bldmvs		95.45 147	95.20 144	95.74 168	94.24 230	96.38 181	97.93 116	94.80 205	95.56 67	96.87 91	98.29 89	95.24 167	96.50 103	98.65 44	90.38 210	94.09 201	91.93 193

CDPH-MVS		96.68 119	95.99 129	97.48 98	99.13 45	97.64 137	98.08 105	97.46 122	90.56 182	95.13 156	94.87 165	98.27 109	96.56 100	97.09 104	96.45 126	98.54 76	97.08 94

casdiffmvs		95.95 137	94.97 153	97.09 115	98.27 105	97.87 124	97.62 135	97.99 77	91.60 167	96.60 103	96.11 143	96.58 152	94.64 139	92.69 208	93.32 194	97.45 136	96.60 116

diffmvs		95.36 151	95.35 139	95.37 177	96.71 201	96.73 172	96.10 196	96.56 170	92.43 157	93.69 187	96.20 139	97.94 121	92.79 169	94.00 195	93.39 191	96.38 189	96.73 111

casdiffmvs1		96.90 108	96.36 120	97.53 94	98.67 78	98.24 81	98.00 113	98.11 67	95.20 81	97.40 67	97.29 117	97.83 125	95.21 128	94.08 192	94.44 178	97.82 119	97.46 75

PMMVS2		86.47 231	92.62 181	79.29 235	92.01 236	85.63 239	93.74 230	86.37 231	93.95 133	54.18 244	98.19 92	97.39 136	58.46 239	96.57 128	93.07 195	90.99 219	83.55 231

PM-MVS		96.85 111	96.62 115	97.11 114	97.13 189	96.51 174	98.29 96	94.65 210	94.84 93	98.12 36	98.59 79	97.20 140	97.41 73	96.24 142	96.41 128	97.09 168	96.56 119

PS-CasMVS		99.08 4	98.90 12	99.28 3	99.65 3	99.56 4	99.59 6	99.39 3	96.36 34	98.83 16	99.46 37	99.09 35	98.62 14	99.51 6	99.36 7	99.63 2	98.97 6

UniMVSNet_NR-MVSNet		98.12 36	97.56 65	98.78 16	99.13 45	98.89 22	98.76 63	98.78 18	93.81 135	98.50 22	98.81 69	97.64 132	97.99 38	98.18 68	97.92 78	99.53 9	97.64 62

PEN-MVS		99.08 4	98.95 9	99.23 5	99.65 3	99.59 2	99.64 2	99.34 5	96.68 27	98.65 19	99.43 40	99.33 16	98.47 21	99.50 7	99.32 8	99.60 4	98.79 11

TransMVSNet (Re)		98.23 26	98.72 17	97.66 86	98.22 112	98.73 45	98.66 77	98.03 75	98.60 6	96.40 113	99.60 20	98.24 110	95.26 126	99.19 20	99.05 16	99.36 18	97.64 62

DTE-MVSNet		99.03 6	98.88 13	99.21 6	99.66 2	99.59 2	99.62 5	99.34 5	96.92 24	98.52 21	99.36 47	98.98 50	98.57 17	99.49 8	99.23 11	99.56 8	98.55 24

DU-MVS		98.23 26	97.74 55	98.81 15	99.23 32	98.77 34	98.76 63	98.88 14	94.10 125	98.50 22	98.87 66	98.32 107	97.99 38	98.40 57	98.08 73	99.49 15	97.64 62

UniMVSNet (Re)		98.23 26	97.85 46	98.67 21	99.15 40	98.87 23	98.74 72	98.84 16	94.27 123	97.94 47	99.01 59	98.39 103	97.82 48	98.35 62	98.29 56	99.51 14	97.78 56

CP-MVSNet		98.91 13	98.61 20	99.25 4	99.63 5	99.50 6	99.55 10	99.36 4	95.53 68	98.77 18	99.11 57	98.64 89	98.57 17	99.42 10	99.28 10	99.61 3	98.78 14

WR-MVS_H		98.97 11	98.82 15	99.14 8	99.56 9	99.56 4	99.54 11	99.42 2	96.07 41	98.37 26	99.34 48	99.09 35	98.43 22	99.45 9	99.41 5	99.53 9	98.86 10

WR-MVS		99.22 3	99.15 4	99.30 2	99.54 11	99.62 1	99.63 4	99.45 1	97.75 16	98.47 24	99.71 7	99.05 43	98.88 7	99.54 5	99.49 2	99.81 1	98.87 9

NR-MVSNet		98.00 43	97.88 44	98.13 44	98.33 95	98.77 34	98.83 58	98.88 14	94.10 125	97.46 65	98.87 66	98.58 95	95.78 117	99.13 24	98.16 64	99.52 11	97.53 69

Baseline_NR-MVSNet		98.17 30	97.90 43	98.48 29	99.23 32	98.59 58	98.83 58	98.73 20	93.97 132	96.95 88	99.66 11	98.23 112	97.90 44	98.40 57	99.06 15	99.25 26	97.42 78

TranMVSNet+NR-MVSNet		98.45 20	98.22 30	98.72 19	99.32 30	99.06 13	98.99 38	98.89 13	95.52 69	97.53 60	99.42 42	98.83 69	98.01 36	98.55 49	98.34 52	99.57 7	97.80 55

TSAR-MVS + GP.		97.26 96	97.33 70	97.18 112	98.21 113	98.06 99	96.38 188	97.66 103	93.92 134	95.23 153	98.48 83	98.33 106	97.41 73	97.63 85	97.35 92	98.18 105	97.57 68

abl_6				96.45 149	97.79 160	97.28 151	97.16 169	96.16 174	89.92 191	95.72 140	91.59 201	97.16 142	94.37 146			97.51 133	95.49 144

mPP-MVS					99.58 6							98.98 50

DWT-MVSNet_training		86.69 229	81.24 236	93.05 206	95.31 225	92.06 217	95.75 204	91.51 223	84.32 229	94.49 171	83.46 227	55.37 243	90.81 188	82.76 237	83.19 228	90.45 222	87.52 216

testpf		81.59 234	76.31 237	87.75 232	93.50 234	83.16 242	89.19 239	95.94 178	73.85 242	90.39 213	80.32 236	61.17 239	73.99 238	76.52 240	75.82 238	83.50 239	83.33 232

SixPastTwentyTwo		99.25 2	99.20 3	99.32 1	99.53 14	99.32 7	99.64 2	99.19 9	98.05 12	99.19 5	99.74 6	98.96 55	99.03 5	99.69 2	99.58 1	99.32 23	99.06 5

LGP-MVS_train		97.96 51	97.53 66	98.45 31	99.45 21	98.64 55	99.09 28	98.27 49	92.99 152	96.04 129	96.57 132	99.29 18	98.66 12	98.73 36	98.42 46	99.19 28	98.09 44

EPNet_dtu		93.45 185	92.51 185	94.55 192	98.39 91	91.67 221	95.46 212	97.50 114	86.56 220	97.38 69	93.52 184	94.20 178	85.82 220	93.31 200	92.53 199	92.72 211	95.76 138
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x2688		94.98 158	94.69 156	95.31 179	97.27 185	95.58 191	97.90 119	95.56 192	95.03 87	93.77 186	95.65 152	99.29 18	95.30 125	91.51 216	91.28 207	92.05 217	94.50 165

EPNet		94.33 174	93.52 173	95.27 181	98.81 70	94.71 198	96.77 178	98.20 56	88.12 203	96.53 106	92.53 194	91.19 189	85.25 225	95.22 171	95.26 166	96.09 192	97.63 66
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
APD-MVS		97.47 79	97.16 80	97.84 74	99.32 30	98.39 75	98.47 87	98.21 55	92.08 163	95.23 153	96.68 130	98.90 60	96.99 87	98.20 65	98.21 59	98.80 60	97.67 60
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
LP		92.03 195	90.19 203	94.17 197	94.52 228	93.87 203	96.79 177	95.05 200	93.58 139	95.62 144	95.68 151	83.37 207	91.78 179	90.73 221	86.99 219	91.27 218	87.09 218

CNVR-MVS		97.03 106	96.77 111	97.34 103	98.89 61	97.67 136	97.64 132	97.17 145	94.40 117	95.70 142	94.02 178	98.76 79	96.49 104	97.78 75	97.29 98	98.12 107	97.47 74

NCCC		96.56 124	95.68 135	97.59 89	99.04 53	97.54 145	97.67 129	97.56 110	94.84 93	96.10 127	87.91 217	98.09 115	96.98 88	97.20 99	96.80 112	98.21 103	97.38 82

CP-MVS		98.00 43	97.57 63	98.50 27	99.47 20	98.56 63	98.91 50	98.38 37	94.71 97	97.01 86	95.20 159	99.06 40	98.20 28	98.61 46	98.46 42	99.02 35	98.40 35

NP-MVS									89.27 193

EG-PatchMatch MVS		97.98 47	97.92 41	98.04 58	98.84 66	98.04 102	97.90 119	96.83 159	95.07 86	98.79 17	99.07 58	99.37 14	97.88 46	98.74 35	98.16 64	98.01 112	96.96 98

tpm cat1		87.19 227	82.78 234	92.33 213	95.66 217	90.61 227	94.19 227	95.27 197	86.97 214	94.38 173	90.91 207	69.40 234	87.21 214	79.57 239	77.82 235	87.25 234	84.18 227

SteuartSystems-ACMMP		98.06 39	97.78 51	98.39 33	99.54 11	98.79 32	98.94 47	98.42 34	93.98 131	95.85 134	96.66 131	99.25 25	98.61 15	98.71 40	98.38 49	98.97 44	98.67 21
Skip Steuart: Steuart Systems R&D Blog.
tpmp4_e23		88.68 221	84.61 229	93.43 201	96.00 210	91.46 222	95.40 216	96.60 169	87.71 205	94.67 168	88.54 215	69.81 232	88.41 208	85.50 232	81.08 232	89.52 225	88.18 213

CostFormer		89.06 219	85.65 227	93.03 208	95.88 214	92.40 212	95.30 217	95.86 181	86.49 222	93.12 202	93.40 187	74.18 227	88.25 209	82.99 236	81.46 230	89.77 224	88.66 210

CR-MVSNet		91.94 197	88.50 209	95.94 162	96.14 207	92.08 215	95.23 218	98.47 28	84.30 230	96.44 109	94.58 170	75.57 224	92.92 165	90.22 222	92.22 200	96.43 187	90.56 199

Patchmtry						92.70 208	95.23 218	98.47 28		96.44 109

PatchT		91.40 203	88.54 208	94.74 188	91.48 240	92.18 214	97.42 153	97.51 112	84.96 227	96.44 109	94.16 177	75.47 225	92.92 165	90.22 222	92.22 200	92.66 214	90.56 199

tpmrst		87.60 226	84.13 232	91.66 219	95.65 218	89.73 232	93.77 229	94.74 207	88.85 194	93.35 197	95.60 153	72.37 231	87.40 213	81.24 238	78.19 234	85.02 238	82.90 233

tpm		89.84 214	86.81 222	93.36 202	96.60 202	91.92 219	95.02 220	97.39 135	86.79 216	96.54 105	95.03 161	69.70 233	87.66 212	88.79 225	86.19 221	86.95 235	89.27 206

DELS-MVS		96.90 108	97.24 74	96.50 146	97.85 149	98.18 85	97.88 122	95.92 180	93.48 141	95.34 151	98.86 68	98.94 59	94.03 155	97.33 95	97.04 101	98.00 113	96.85 107
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
RPMNet		90.52 208	86.27 225	95.48 176	95.95 212	92.08 215	95.55 210	98.12 65	84.30 230	95.60 146	87.49 219	72.78 229	91.24 182	87.93 226	89.34 213	96.41 188	89.98 202

no-one		97.16 100	97.57 63	96.68 137	96.30 206	95.74 190	98.40 92	94.04 217	96.28 36	96.30 119	97.95 98	99.45 9	99.06 4	96.93 116	98.19 63	95.99 193	98.48 30

MVSTER		91.97 196	90.31 201	93.91 198	96.81 196	96.91 166	94.22 225	95.64 190	84.98 226	92.98 204	93.42 185	72.56 230	86.64 219	95.11 172	93.89 186	97.16 166	95.31 146

CPTT-MVS		97.08 103	96.25 121	98.05 57	99.21 34	98.30 78	98.54 84	97.98 78	94.28 121	95.89 133	89.57 214	98.54 97	98.18 29	97.82 73	97.32 94	98.54 76	97.91 52

GBi-Net		95.21 153	95.35 139	95.04 184	96.77 198	98.18 85	97.28 160	97.58 107	88.43 200	90.28 215	96.01 145	92.43 184	90.04 195	97.67 80	97.86 81	98.28 95	96.90 100

PVSNet_Blended_VisFu		97.44 81	97.14 82	97.79 78	99.15 40	98.44 72	98.32 94	97.66 103	93.74 137	97.73 51	98.79 70	96.93 148	95.64 123	97.69 78	96.91 106	98.25 100	97.50 73

PVSNet_BlendedMVS		95.44 148	95.09 146	95.86 165	97.31 183	97.13 159	96.31 192	95.01 201	88.55 198	96.23 120	94.55 173	97.75 127	92.56 176	96.42 133	95.44 162	97.71 123	95.81 134

PVSNet_Blended		95.44 148	95.09 146	95.86 165	97.31 183	97.13 159	96.31 192	95.01 201	88.55 198	96.23 120	94.55 173	97.75 127	92.56 176	96.42 133	95.44 162	97.71 123	95.81 134

FMVSNet5		89.65 216	87.60 216	92.04 216	95.63 219	96.61 173	94.82 223	94.75 206	80.11 239	87.72 231	77.73 240	73.81 228	83.81 227	95.64 161	96.08 144	95.49 197	93.21 184

test1		95.21 153	95.35 139	95.04 184	96.77 198	98.18 85	97.28 160	97.58 107	88.43 200	90.28 215	96.01 145	92.43 184	90.04 195	97.67 80	97.86 81	98.28 95	96.90 100

new_pmnet		90.85 207	92.26 189	89.21 229	93.68 233	89.05 234	93.20 234	84.16 237	92.99 152	84.25 236	97.72 105	94.60 172	86.80 218	93.20 201	91.30 206	93.21 206	86.94 219

FMVSNet3		94.06 177	93.85 169	94.31 196	95.46 223	97.80 133	96.34 189	97.58 107	88.43 200	90.28 215	96.01 145	92.43 184	88.67 207	91.82 213	93.96 184	97.53 131	96.50 122

dps		88.36 224	84.32 231	93.07 205	93.86 232	92.29 213	94.89 222	95.93 179	83.50 233	93.13 200	91.87 200	67.79 235	90.32 193	85.99 231	83.22 227	90.28 223	85.56 223

FMVSNet2		95.77 141	96.20 124	95.27 181	96.77 198	98.18 85	97.28 160	97.90 83	93.12 148	91.37 210	98.25 91	96.05 161	90.04 195	94.96 177	95.94 150	98.28 95	96.90 100

FMVSNet1		97.40 85	98.09 35	96.60 140	97.80 158	98.76 38	98.26 98	98.50 25	96.79 26	93.13 200	99.28 51	98.64 89	92.90 167	97.67 80	97.86 81	99.02 35	97.64 62

N_pmnet		92.46 190	92.38 186	92.55 210	97.91 146	93.47 205	97.42 153	94.01 219	96.40 33	88.48 226	98.50 82	98.07 117	88.14 210	91.04 219	84.30 223	89.35 226	84.85 224

UGNet		96.79 115	97.82 47	95.58 173	97.57 167	98.39 75	98.48 86	97.84 92	95.85 53	94.68 167	97.91 101	99.07 39	87.12 215	97.71 77	97.51 86	97.80 120	98.29 38
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
MDTV_nov1_ep13_2view		94.39 169	93.34 175	95.63 171	97.23 186	95.33 193	97.76 126	96.84 158	94.55 104	97.47 63	98.96 61	97.70 129	93.88 157	92.27 210	86.81 220	90.56 220	87.73 215

MDTV_nov1_ep13		90.30 209	87.32 219	93.78 199	96.00 210	92.97 207	95.46 212	95.39 195	88.61 196	95.41 150	94.45 175	80.39 219	89.87 198	86.58 229	83.54 226	90.56 220	84.71 225

MIMVSNet1		98.22 29	98.51 23	97.87 72	99.40 25	98.82 29	99.31 17	98.53 24	97.39 19	96.59 104	99.31 50	99.23 28	94.76 137	98.93 30	98.67 34	98.63 71	97.25 87

MIMVSNet		93.68 184	93.96 165	93.35 203	97.82 155	96.08 187	96.34 189	98.46 31	91.28 173	86.67 234	94.95 164	94.87 170	84.39 226	94.53 181	94.65 176	96.45 186	91.34 195

IterMVS-LS		96.35 126	95.85 134	96.93 125	97.53 168	98.00 106	97.37 155	97.97 79	95.49 72	96.71 100	98.94 62	93.23 181	94.82 135	93.15 203	95.05 169	97.17 165	97.12 93
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet		94.91 161	95.17 145	94.60 191	97.85 149	96.21 185	96.90 175	96.39 171	90.81 179	93.40 194	97.24 120	94.54 173	85.78 221	96.25 141	96.15 135	97.26 155	95.01 153
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
IterMVS		94.48 167	93.46 174	95.66 170	97.52 169	96.43 175	97.20 166	94.73 208	92.91 154	96.44 109	98.75 74	91.10 190	94.53 142	92.10 212	90.10 212	93.51 203	92.84 189
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MVS_111021_LR		96.86 110	96.72 112	97.03 120	97.80 158	97.06 164	97.04 173	95.51 193	94.55 104	97.47 63	97.35 115	97.68 130	96.66 93	97.11 102	96.73 113	97.69 126	96.57 117

HQP-MVS		95.97 136	95.01 151	97.08 116	98.72 72	97.19 155	97.07 172	96.69 165	91.49 170	95.77 138	92.19 197	97.93 122	96.15 112	94.66 179	94.16 179	98.10 109	97.45 76

QAPM		97.04 105	97.14 82	96.93 125	97.78 161	98.02 104	97.36 157	96.72 162	94.68 99	96.23 120	97.21 121	97.68 130	95.70 119	97.37 93	97.24 99	97.78 122	97.77 57

Vis-MVSNet		98.01 41	98.42 25	97.54 93	96.89 195	98.82 29	99.14 26	97.59 106	96.30 35	97.04 84	99.26 52	98.83 69	96.01 115	98.73 36	98.21 59	98.58 73	98.75 15
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet		88.72 220	86.49 223	91.33 221	91.81 238	85.66 238	87.02 242	96.25 172	81.48 238	94.82 164	96.31 138	92.14 187	90.32 193	87.60 227	83.82 224	87.74 231	78.42 235

HyFIR lowres test		95.05 157	93.54 172	96.81 131	97.81 157	96.88 167	98.18 100	97.46 122	94.28 121	94.98 162	96.57 132	92.89 183	96.15 112	90.90 220	91.87 204	96.28 190	91.35 194

EPMVS		89.28 217	86.28 224	92.79 209	96.01 209	92.00 218	95.83 201	95.85 183	90.78 180	91.00 212	94.58 170	74.65 226	88.93 204	85.00 233	82.88 229	89.09 227	84.09 228

TAMVS		92.46 190	93.34 175	91.44 220	97.03 191	93.84 204	94.68 224	90.60 225	90.44 183	85.31 235	97.14 122	93.03 182	85.78 221	94.34 188	93.67 187	95.22 198	90.93 197

IS_MVSNet		96.62 123	96.48 118	96.78 132	98.46 86	98.68 53	98.61 79	98.24 51	92.23 160	89.63 219	95.90 149	94.40 175	96.23 108	98.65 44	98.77 29	99.52 11	96.76 110

RPSCF		97.83 57	98.27 27	97.31 106	98.23 109	98.06 99	97.44 152	95.79 187	96.90 25	95.81 136	98.76 73	98.61 93	97.70 55	98.90 32	98.36 51	98.90 51	98.29 38

Vis-MVSNet (Re-imp)		96.29 128	96.50 116	96.05 160	97.96 143	97.83 129	97.30 159	97.86 89	93.14 147	88.90 223	96.80 127	95.28 166	95.15 130	98.37 61	98.25 58	99.12 31	95.84 133

MVS_111021_HR		97.27 95	97.11 87	97.46 100	98.46 86	97.82 131	97.50 143	96.86 156	94.97 89	97.13 80	96.99 125	98.39 103	96.82 91	97.65 84	97.38 91	98.02 111	96.56 119

CSCG		98.45 20	98.61 20	98.26 37	99.11 47	99.06 13	98.17 102	97.49 117	97.93 14	97.37 70	98.88 64	99.29 18	98.10 31	98.40 57	97.51 86	99.32 23	99.16 3

PatchMatch-RL		94.79 164	93.75 170	96.00 161	96.80 197	95.00 196	95.47 211	95.25 198	90.68 181	95.80 137	92.97 190	93.64 179	95.67 121	96.13 145	95.81 154	96.99 173	92.01 192

TDRefinement		99.00 8	99.13 5	98.86 11	98.99 56	99.05 15	99.58 7	98.29 48	98.96 4	97.96 46	99.40 44	98.67 86	98.87 8	99.60 3	99.46 4	99.46 17	98.74 16

USDC		96.30 127	95.64 137	97.07 117	97.62 166	96.35 183	97.17 168	95.71 189	95.52 69	99.17 6	98.11 96	97.46 134	95.67 121	95.44 168	93.60 188	97.09 168	92.99 188

EPP-MVSNet		97.29 94	96.88 101	97.76 84	98.70 73	99.10 12	98.92 49	98.36 39	95.12 85	93.36 196	97.39 113	91.00 191	97.65 59	98.72 38	98.91 22	99.58 6	97.92 51

PMMVS		91.67 201	91.47 198	91.91 217	89.43 241	88.61 236	94.99 221	85.67 234	87.50 212	93.80 185	94.42 176	94.88 169	90.71 189	92.26 211	92.96 197	96.83 177	89.65 203

ACMMP		97.99 45	97.60 61	98.45 31	99.53 14	98.83 27	99.13 27	98.30 44	94.57 103	96.39 117	95.32 157	98.95 56	98.37 25	98.61 46	98.47 41	99.00 39	98.45 32
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
CNLPA		96.24 130	95.97 130	96.57 142	97.48 175	97.10 163	96.75 179	94.95 204	94.92 91	96.20 123	94.81 166	96.61 151	96.25 107	96.94 115	95.64 157	97.79 121	95.74 139

PatchmatchNet		89.98 212	86.23 226	94.36 195	96.56 203	91.90 220	96.07 197	96.72 162	90.18 186	96.87 91	93.36 188	78.06 223	91.46 180	84.71 235	81.40 231	88.45 229	83.97 229
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS		97.44 81	97.17 79	97.74 85	98.14 122	98.41 74	98.03 108	97.50 114	92.07 164	98.01 44	97.33 116	98.62 92	96.02 114	98.34 64	98.21 59	98.76 64	97.24 89

OMC-MVS		97.23 97	97.21 75	97.25 110	97.85 149	97.52 146	97.92 117	95.77 188	95.83 54	97.09 83	97.86 102	98.52 98	96.62 95	97.51 86	96.65 117	98.26 98	96.57 117

AdaColmap		95.85 140	94.65 158	97.26 107	98.70 73	97.20 154	97.33 158	97.30 142	91.28 173	95.90 132	88.16 216	96.17 159	96.60 96	97.34 94	96.82 108	97.71 123	95.60 142

DeepMVS_CX						72.99 243	80.14 243	37.34 239	83.46 234	60.13 243	84.40 224	85.48 197	86.93 217	87.22 228		79.61 240	87.32 217

TinyColmap		96.64 122	96.07 127	97.32 105	97.84 154	96.40 178	97.63 134	96.25 172	95.86 52	98.98 12	97.94 99	96.34 156	96.17 111	97.30 96	95.38 164	97.04 170	93.24 183

MAR-MVS		95.51 145	94.49 161	96.71 134	97.92 145	96.40 178	96.72 180	98.04 74	86.74 217	96.72 97	92.52 195	95.14 168	94.02 156	96.81 119	96.54 123	96.85 175	97.25 87
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
MSDG		96.27 129	96.17 125	96.38 152	97.85 149	96.27 184	96.55 185	94.41 215	94.55 104	95.62 144	97.56 109	97.80 126	96.22 109	97.17 101	96.27 132	97.67 128	93.60 179

LS3D		97.93 53	97.80 48	98.08 52	99.20 36	98.77 34	98.89 53	97.92 82	96.59 29	96.99 87	96.71 129	97.14 143	96.39 106	99.04 25	98.96 20	99.10 34	97.39 79

CLD-MVS		96.73 118	96.92 97	96.51 145	98.70 73	97.57 142	97.64 132	92.07 221	93.10 150	96.31 118	98.29 89	99.02 46	95.99 116	97.20 99	96.47 125	98.37 94	96.81 109
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS		94.70 165	94.99 152	94.37 193	95.84 215	93.20 206	96.00 198	91.93 222	95.03 87	94.64 169	94.68 168	93.29 180	90.95 186	98.07 69	97.34 93	96.85 175	93.29 181

Gipuma		98.43 22	98.15 33	98.76 17	99.00 55	98.29 79	97.91 118	98.06 71	99.02 3	99.50 1	96.33 136	98.67 86	99.22 1	99.02 26	98.02 76	98.88 56	97.66 61
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015

High-resolution multi-view benchmark