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.

DeepPCF-MVS	79.04 1	85.30 15	88.93 6	81.06 25	88.77 28	90.48 4	85.46 39	73.08 21	90.97 2	73.77 30	84.81 16	85.95 13	77.43 17	88.22 6	87.73 6	87.85 65	94.34 3

DeepC-MVS	78.47 2	84.81 20	86.03 23	83.37 13	89.29 25	90.38 5	88.61 20	76.50 1	86.25 17	77.22 18	75.12 33	80.28 37	77.59 16	88.39 5	88.17 5	91.02 5	93.66 12
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	78.24 3	84.27 23	85.50 25	82.85 17	90.46 12	89.24 15	87.83 26	74.24 11	84.88 20	76.23 21	75.26 32	81.05 35	77.62 15	88.02 8	87.62 8	90.69 10	92.41 22
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator+	75.73 4	82.40 28	82.76 33	81.97 22	88.02 30	89.67 11	86.60 30	71.48 29	81.28 36	78.18 15	64.78 68	77.96 43	77.13 21	87.32 17	86.83 15	90.41 21	91.48 30

3Dnovator	73.76 5	79.75 39	80.52 44	78.84 38	84.94 52	87.35 34	84.43 45	65.54 65	78.29 42	73.97 28	63.00 74	75.62 50	74.07 32	85.00 38	85.34 33	90.11 28	89.04 46

PCF-MVS	73.28 6	79.42 42	80.41 45	78.26 41	84.88 53	88.17 30	86.08 32	69.85 36	75.23 50	68.43 49	68.03 58	78.38 40	71.76 47	81.26 69	80.65 70	88.56 53	91.18 33
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
ACMP	73.23 7	79.79 38	80.53 43	78.94 37	85.61 45	85.68 46	85.61 36	69.59 39	77.33 44	71.00 45	74.45 36	69.16 73	71.88 44	83.15 52	83.37 45	89.92 29	90.57 39
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM	72.26 8	78.86 48	78.13 52	79.71 33	86.89 37	83.40 62	86.02 33	70.50 32	75.28 48	71.49 43	63.01 73	69.26 72	73.57 35	84.11 43	83.98 41	89.76 32	87.84 53
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TAPA-MVS	71.42 9	77.69 52	80.05 48	74.94 56	80.68 67	84.52 55	81.36 52	63.14 80	84.77 21	64.82 63	68.72 53	75.91 49	71.86 45	81.62 60	79.55 82	87.80 66	85.24 75
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
OpenMVS	70.44 10	76.15 57	76.82 64	75.37 54	85.01 50	84.79 54	78.99 69	62.07 103	71.27 58	67.88 52	57.91 98	72.36 59	70.15 55	82.23 58	81.41 55	88.12 58	87.78 54

PLC	68.99 11	75.68 58	75.31 68	76.12 52	82.94 56	81.26 75	79.94 59	66.10 60	77.15 45	66.86 58	59.13 87	68.53 79	73.73 34	80.38 80	79.04 86	87.13 80	81.68 122
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
IB-MVS	66.94 12	71.21 77	71.66 82	70.68 78	79.18 75	82.83 67	72.61 141	61.77 107	59.66 111	63.44 68	53.26 147	59.65 102	59.16 128	76.78 139	82.11 50	87.90 62	87.33 57
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
ACMH+	66.54 13	71.36 76	70.09 90	72.85 65	82.59 58	81.13 76	78.56 83	68.04 49	61.55 98	52.52 125	51.50 168	54.14 142	68.56 63	78.85 102	79.50 83	86.82 97	83.94 91

ACMH	65.37 14	70.71 80	70.00 91	71.54 68	82.51 59	82.47 69	77.78 95	68.13 48	56.19 149	46.06 158	54.30 130	51.20 177	68.68 62	80.66 75	80.72 63	86.07 119	84.45 87
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
COLMAP_ROB	62.73 15	67.66 131	66.76 148	68.70 108	80.49 70	77.98 117	75.29 108	62.95 83	63.62 84	49.96 139	47.32 186	50.72 180	58.57 129	76.87 137	75.50 152	84.94 148	75.33 171
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
LTVRE_ROB	59.44 16	61.82 181	62.64 182	60.87 171	72.83 156	77.19 126	64.37 184	58.97 143	33.56 219	28.00 202	52.59 162	42.21 203	63.93 101	74.52 154	76.28 140	77.15 185	82.13 113
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
CMPMVS	47.78 17	62.49 171	62.52 183	62.46 161	70.01 174	70.66 175	62.97 189	51.84 184	51.98 178	56.71 100	42.87 191	53.62 146	57.80 134	72.23 167	70.37 176	75.45 193	75.91 164
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PMVS	39.38 18	46.06 212	43.30 217	49.28 205	62.93 194	38.75 225	41.88 218	53.50 174	33.33 220	35.46 192	28.90 214	31.01 217	33.04 204	58.61 217	54.63 219	68.86 210	57.88 214
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVE	19.12 19	20.47 225	23.27 224	17.20 226	12.66 230	25.41 228	10.52 231	34.14 223	14.79 230	6.53 232	8.79 228	4.68 232	16.64 225	29.49 225	41.63 222	22.73 229	38.11 223
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tfpnconf		64.23 160	66.05 154	62.12 164	76.20 104	75.24 155	67.43 166	61.15 111	54.04 170	36.38 189	55.35 112	51.89 172	46.94 179	77.31 130	76.15 145	84.59 152	72.36 184

tfpnview11		64.33 158	66.17 153	62.18 162	76.25 103	75.23 156	67.45 165	61.16 110	55.50 155	36.38 189	55.35 112	51.89 172	46.96 178	77.28 131	76.10 146	84.86 150	71.85 186

tfpn1000		63.81 163	66.31 150	60.90 170	75.76 111	75.74 150	65.14 180	60.14 132	56.47 144	35.99 191	55.11 114	52.30 168	43.42 189	76.21 145	75.34 153	84.97 147	73.01 183

tfpn_ndepth		65.09 152	67.12 143	62.73 160	75.75 112	76.23 146	68.00 162	60.36 122	58.16 121	40.27 179	54.89 121	54.22 141	46.80 181	76.69 141	75.66 149	85.19 142	73.98 179

conf200view11		68.11 121	68.72 122	67.39 123	77.83 87	78.93 101	74.28 123	62.81 84	56.64 140	46.70 154	52.65 159	53.47 152	56.59 144	80.41 76	78.43 91	86.11 116	80.53 131

thres100view900		67.60 135	68.02 133	67.12 129	77.83 87	77.75 121	73.90 128	62.52 98	56.64 140	46.82 152	52.65 159	53.47 152	55.92 150	78.77 103	77.62 106	85.72 135	79.23 144

tfpnnormal		64.27 159	63.64 176	65.02 145	75.84 110	75.61 151	71.24 151	62.52 98	47.79 195	42.97 173	42.65 192	44.49 200	52.66 169	78.77 103	76.86 120	84.88 149	79.29 143

tfpn200view9		68.11 121	68.72 122	67.40 122	77.83 87	78.93 101	74.28 123	62.81 84	56.64 140	46.82 152	52.65 159	53.47 152	56.59 144	80.41 76	78.43 91	86.11 116	80.52 132

view600		67.63 134	68.36 129	66.77 135	77.84 86	78.66 107	73.74 132	62.62 95	56.04 151	44.98 163	52.86 155	52.83 160	55.48 157	80.36 81	77.75 103	85.95 129	80.02 137

view800		67.35 138	68.22 132	66.35 139	77.83 87	78.62 108	72.97 140	62.58 96	55.71 153	44.13 167	52.69 158	52.24 170	54.58 162	80.27 83	78.19 96	86.01 124	79.79 139

conf0.05thres1000		66.26 144	66.77 147	65.66 142	77.45 96	78.10 112	71.85 148	62.44 101	51.47 182	43.00 172	47.92 181	51.66 175	53.40 165	79.71 90	77.97 99	85.82 131	80.56 129

tfpn		66.58 142	67.18 142	65.88 141	77.82 91	78.45 111	72.07 145	62.52 98	55.35 157	43.21 171	52.54 163	46.12 196	53.68 163	80.02 87	78.23 95	85.99 127	79.55 142

test_full		0.00 228	0.00 229	0.00 230	0.00 233	0.00 235	0.00 236	0.00 232	0.00 233	0.00 236	0.00 232	0.00 236	0.00 232	0.00 231	0.00 230	0.00 234	0.00 231

CHOSEN 280x420		58.70 190	61.88 188	54.98 194	55.45 215	50.55 219	64.92 181	40.36 216	55.21 158	38.13 185	48.31 178	63.76 90	63.03 106	73.73 160	68.58 187	68.00 212	73.04 182

CANet		81.62 33	83.41 30	79.53 34	87.06 35	88.59 26	85.47 38	67.96 51	76.59 46	74.05 27	74.69 34	81.98 28	72.98 39	86.14 32	85.47 31	89.68 35	90.42 40

Fast-Effi-MVS+-dtu		68.34 118	69.47 103	67.01 131	75.15 115	77.97 119	77.12 101	55.40 170	57.87 122	46.68 155	56.17 107	60.39 98	62.36 108	76.32 144	76.25 142	85.35 141	81.34 123

Effi-MVS+-dtu		71.82 73	71.86 81	71.78 67	78.77 77	80.47 90	78.55 84	61.67 109	60.68 103	55.49 106	58.48 91	65.48 86	68.85 61	76.92 136	75.55 151	87.35 72	85.46 71

CANet_DTU		73.29 66	76.96 63	69.00 105	77.04 99	82.06 70	79.49 63	56.30 167	67.85 64	53.29 119	71.12 46	70.37 68	61.81 115	81.59 61	80.96 59	86.09 118	84.73 84

MVS_0304		81.73 32	83.86 29	79.26 35	86.22 42	89.18 18	86.41 31	67.15 55	75.28 48	70.75 46	74.59 35	83.49 24	74.42 30	87.05 22	86.34 23	90.58 13	91.08 34

HSP-MVS		87.45 2	90.22 2	84.22 6	90.00 17	91.80 2	90.59 3	75.80 3	89.93 3	78.35 14	92.54 1	89.18 2	80.89 1	87.99 10	86.29 24	89.70 34	93.85 7

TSAR-MVS + MP.		86.88 5	89.23 4	84.14 7	89.78 20	88.67 25	90.59 3	73.46 20	88.99 5	80.52 7	91.26 3	88.65 3	79.91 4	86.96 24	86.22 25	90.59 12	93.83 8

OPM-MVS		79.68 41	79.28 50	80.15 31	87.99 31	86.77 40	88.52 22	72.72 22	64.55 80	67.65 53	67.87 59	74.33 54	74.31 31	86.37 30	85.25 34	89.73 33	89.81 43

ACMMP_Plus		86.52 7	89.01 5	83.62 11	90.28 13	90.09 7	90.32 6	74.05 14	88.32 8	79.74 9	87.04 10	85.59 16	76.97 23	89.35 1	88.44 3	90.35 23	94.27 5

ambc			53.42 202		64.99 192	63.36 200	49.96 211		47.07 197	37.12 187	28.97 213	16.36 228	41.82 191	75.10 153	67.34 191	71.55 205	75.72 166

MPTG		85.71 11	86.88 17	84.34 4	90.54 11	87.11 37	89.77 11	74.17 12	88.54 7	83.08 2	78.60 26	86.10 12	78.11 10	87.80 12	87.46 9	90.35 23	92.56 20

Effi-MVS+		75.28 60	76.20 65	74.20 61	81.15 63	83.24 63	81.11 53	63.13 81	66.37 66	60.27 75	64.30 70	68.88 77	70.93 54	81.56 62	81.69 53	88.61 51	87.35 56

new-patchmatchnet		46.97 210	49.47 209	44.05 212	62.82 195	56.55 210	45.35 216	52.01 182	42.47 205	17.04 222	35.73 207	35.21 211	21.84 223	61.27 209	54.83 218	65.26 217	60.26 208

pmmvs6		62.41 172	62.88 179	61.87 165	71.38 168	75.18 160	67.76 164	59.45 140	41.64 206	42.52 176	37.33 201	52.91 159	46.87 180	77.67 118	76.26 141	83.23 160	79.18 145

pmmvs5		62.37 175	64.04 173	60.42 172	65.03 191	71.67 172	67.17 168	52.70 180	50.30 184	44.80 164	54.23 135	51.19 178	49.37 174	72.88 163	73.48 164	83.45 158	74.55 174

Fast-Effi-MVS+		73.11 68	73.66 71	72.48 66	77.72 92	80.88 81	78.55 84	58.83 152	65.19 74	60.36 74	59.98 82	62.42 95	71.22 52	81.66 59	80.61 72	88.20 55	84.88 83

Anonymous20231211		51.46 204	50.59 206	52.46 201	67.30 183	66.70 189	55.00 204	59.22 141	29.96 221	17.62 221	19.11 223	28.74 221	35.72 200	66.42 198	69.52 179	79.92 174	73.71 180

pmmvs-eth3d		63.52 164	62.44 185	64.77 148	66.82 187	70.12 176	69.41 157	59.48 139	54.34 168	52.71 121	46.24 187	44.35 201	56.93 142	72.37 164	73.77 162	83.30 159	75.91 164

GG-mvs-BLEND		46.86 211	67.51 138	22.75 224	0.05 231	76.21 147	64.69 182	0.04 229	61.90 94	0.09 234	55.57 109	71.32 62	0.08 229	70.54 183	67.19 193	71.58 204	69.86 190

Anonymous20231206		56.36 195	57.80 198	54.67 195	70.08 173	66.39 190	60.46 196	57.54 159	49.50 192	29.30 199	33.86 209	46.64 194	35.18 201	70.44 185	68.88 184	75.47 192	68.88 194

MTAPA										83.48 1		86.45 11

MTMP										82.66 3		84.91 19

gm-plane-assit		57.00 193	57.62 199	56.28 190	76.10 106	62.43 206	47.62 215	46.57 203	33.84 218	23.24 209	37.52 200	40.19 207	59.61 127	79.81 89	77.55 108	84.55 153	72.03 185

train_agg		84.86 19	87.21 16	82.11 21	90.59 9	85.47 48	89.81 9	73.55 19	83.95 26	73.30 31	89.84 7	87.23 8	75.61 26	86.47 28	85.46 32	89.78 30	92.06 26

gg-mvs-nofinetune		62.55 169	65.05 166	59.62 178	78.72 79	77.61 123	70.83 152	53.63 173	39.71 210	22.04 215	36.36 203	64.32 89	47.53 177	81.16 70	79.03 87	85.00 146	77.17 156

MS-PatchMatch		70.17 90	70.49 88	69.79 98	80.98 66	77.97 119	77.51 97	58.95 144	62.33 91	55.22 109	53.14 150	65.90 85	62.03 110	79.08 100	77.11 117	84.08 155	77.91 151

Patchmatch-RL test							2.85 233

tmp_tt				14.50 227	14.68 229	7.17 232	10.46 232	2.21 228	37.73 213	28.71 201	25.26 220	16.98 226	4.37 228	31.49 224	29.77 224	26.56 228

canonicalmvs		79.16 45	82.37 36	75.41 53	82.33 60	86.38 44	80.80 55	63.18 79	82.90 29	67.34 55	72.79 41	76.07 47	69.62 57	83.46 51	84.41 39	89.20 42	90.60 38

anonymousdsp		65.28 148	67.98 134	62.13 163	58.73 207	73.98 165	67.10 169	50.69 190	48.41 193	47.66 151	54.27 131	52.75 163	61.45 117	76.71 140	80.20 75	87.13 80	89.53 45

v144192		69.34 109	68.68 124	70.12 94	74.06 143	80.54 86	78.08 94	60.54 119	54.99 163	54.13 112	52.92 154	52.80 162	66.73 74	77.13 134	76.72 133	87.15 76	85.63 65

v1921920		69.03 112	68.32 130	69.86 97	74.03 144	80.37 91	77.55 96	60.25 127	54.62 164	53.59 117	52.36 164	51.50 176	66.75 73	77.17 133	76.69 138	86.96 89	85.56 66

FC-MVSNet-train		72.60 71	75.07 69	69.71 100	81.10 65	78.79 106	73.74 132	65.23 67	66.10 69	53.34 118	70.36 48	63.40 92	56.92 143	81.44 63	80.96 59	87.93 61	84.46 86

UA-Net		74.47 62	77.80 54	70.59 81	85.33 46	85.40 50	73.54 134	65.98 63	60.65 104	56.00 105	72.11 42	79.15 38	54.63 160	83.13 53	82.25 49	88.04 59	81.92 120

v1192		69.50 106	68.83 117	70.29 91	74.49 139	80.92 80	78.55 84	60.54 119	55.04 161	54.21 111	52.79 157	52.33 166	66.92 71	77.88 113	77.35 114	87.04 86	85.51 69

FC-MVSNet-test		56.90 194	65.20 164	47.21 206	66.98 184	63.20 201	49.11 213	58.60 155	59.38 114	11.50 226	65.60 65	56.68 119	24.66 217	71.17 176	71.36 173	72.38 202	69.02 193

v1144		69.93 98	69.36 110	70.61 80	74.89 119	80.93 78	79.11 67	60.64 116	55.97 152	55.31 108	53.85 142	54.14 142	66.54 76	78.10 110	77.44 111	87.14 79	85.09 77

sosnet-low-res		0.00 228	0.00 229	0.00 230	0.00 233	0.00 235	0.00 236	0.00 232	0.00 233	0.00 236	0.00 232	0.00 236	0.00 232	0.00 231	0.00 230	0.00 234	0.00 231

HFP-MVS		86.15 9	87.95 12	84.06 8	90.80 5	89.20 17	89.62 13	74.26 10	87.52 9	80.63 6	86.82 11	84.19 22	78.22 9	87.58 13	87.19 11	90.81 6	93.13 18

v148		67.85 127	67.53 137	68.23 111	73.25 150	77.57 125	74.26 126	57.36 162	55.70 154	57.45 89	53.53 143	55.42 131	61.96 111	75.23 151	73.92 161	85.08 144	81.32 124

sosnet		0.00 228	0.00 229	0.00 230	0.00 233	0.00 235	0.00 236	0.00 232	0.00 233	0.00 236	0.00 232	0.00 236	0.00 232	0.00 231	0.00 230	0.00 234	0.00 231

v748		65.12 151	65.24 162	64.98 146	69.77 175	76.45 141	69.47 156	57.06 164	49.93 188	50.70 133	47.87 182	49.50 187	57.14 140	73.64 161	75.18 155	85.75 134	84.14 88

v7n		67.05 141	66.94 145	67.17 127	72.35 157	78.97 100	73.26 139	58.88 145	51.16 183	50.90 132	48.21 179	50.11 183	60.96 118	77.70 116	77.38 112	86.68 108	85.05 79

v1141		69.96 97	69.44 107	70.58 83	74.78 128	80.50 88	78.85 70	60.30 123	56.95 134	56.74 98	54.68 126	56.26 126	65.93 92	77.38 127	76.72 133	86.88 93	83.57 99

v1neww		70.34 85	69.93 93	70.82 71	74.68 134	80.61 84	78.80 75	60.17 128	58.74 118	58.10 85	55.00 117	57.28 114	66.33 82	77.53 121	76.74 128	86.82 97	83.61 94

DI_MVS_plusplus_trai		75.13 61	76.12 66	73.96 62	78.18 81	81.55 71	80.97 54	62.54 97	68.59 63	65.13 62	61.43 75	74.81 52	69.32 59	81.01 73	79.59 80	87.64 68	85.89 64

v7new		70.34 85	69.93 93	70.82 71	74.68 134	80.61 84	78.80 75	60.17 128	58.74 118	58.10 85	55.00 117	57.28 114	66.33 82	77.53 121	76.74 128	86.82 97	83.61 94

HPM-MVS++		87.09 3	88.92 7	84.95 2	92.61 1	87.91 33	90.23 8	76.06 2	88.85 6	81.20 4	87.33 8	87.93 6	79.47 5	88.59 4	88.23 4	90.15 27	93.60 14

XVS					86.63 38	88.68 22	85.00 40			71.81 39		81.92 29				90.47 16

v1240		68.64 117	67.89 136	69.51 101	73.89 146	80.26 94	76.73 103	59.97 135	53.43 172	53.08 120	51.82 167	50.84 179	66.62 75	76.79 138	76.77 121	86.78 103	85.34 73

v18		70.10 91	69.52 102	70.77 74	74.66 137	77.06 130	78.84 72	58.84 151	60.01 109	59.23 77	55.06 115	57.47 109	66.34 81	77.50 125	76.75 126	86.71 104	82.77 108

pm-mvs1		65.62 146	67.42 139	63.53 157	73.66 148	76.39 144	69.66 154	60.87 115	49.73 190	43.97 168	51.24 170	57.00 118	48.16 176	79.89 88	77.84 101	84.85 151	79.82 138

X-MVStestdata					86.63 38	88.68 22	85.00 40			71.81 39		81.92 29				90.47 16

v17		70.03 94	69.43 109	70.72 77	74.75 131	77.09 128	78.78 79	58.85 148	59.53 113	58.72 81	54.87 122	57.39 110	66.38 79	77.60 120	76.75 126	86.83 96	82.80 104

v16		70.07 92	69.46 104	70.79 73	74.74 132	77.08 129	78.79 77	58.86 146	59.75 110	59.15 78	54.87 122	57.33 111	66.38 79	77.61 119	76.77 121	86.81 102	82.79 106

divwei89l23v2f112		69.97 95	69.44 107	70.58 83	74.78 128	80.50 88	78.85 70	60.30 123	56.97 133	56.75 97	54.67 127	56.27 125	65.92 93	77.37 128	76.72 133	86.88 93	83.58 98

v15		69.61 100	68.88 115	70.46 85	74.81 125	77.03 133	78.75 80	58.83 152	57.06 131	57.18 90	54.55 128	56.37 120	66.13 89	77.70 116	76.76 123	87.03 87	82.69 111

v13		69.52 105	68.76 121	70.41 88	74.88 120	77.02 135	78.52 88	58.86 146	56.61 143	56.91 93	54.00 140	56.17 128	66.11 90	77.93 111	76.74 128	87.21 74	82.83 103

v12		69.54 103	68.79 119	70.41 88	74.88 120	77.03 133	78.54 87	58.85 148	56.71 138	56.87 95	54.13 138	56.23 127	66.15 86	77.89 112	76.74 128	87.17 75	82.80 104

X-MVS		83.23 26	85.20 27	80.92 27	89.71 21	88.68 22	88.21 25	73.60 18	82.57 31	71.81 39	77.07 27	81.92 29	71.72 48	86.98 23	86.86 14	90.47 16	92.36 23

v8		70.23 88	69.86 97	70.67 79	74.69 133	79.82 95	78.79 77	59.18 142	58.80 117	58.20 83	55.00 117	57.33 111	66.31 85	77.51 124	76.71 136	86.82 97	83.88 92

v7		70.33 87	69.87 95	70.88 69	74.79 126	81.04 77	79.22 65	60.57 118	57.70 128	56.65 101	54.23 135	55.29 134	66.95 69	78.28 108	77.47 109	87.12 83	85.05 79

v6		70.35 84	69.94 92	70.83 70	74.68 134	80.62 83	78.81 74	60.16 131	58.81 116	58.17 84	55.01 116	57.31 113	66.32 84	77.53 121	76.73 132	86.82 97	83.62 93

v11		69.37 108	68.65 125	70.20 92	74.87 122	76.97 136	78.29 91	58.55 156	56.38 146	56.04 104	54.02 139	54.98 136	66.47 77	78.30 107	76.91 119	86.97 88	83.02 102

v52		65.23 149	66.24 151	64.06 152	61.94 197	76.42 142	72.06 146	54.30 172	49.94 187	50.04 138	47.41 184	52.42 164	60.23 125	75.71 147	76.22 143	85.78 132	85.56 66

V14		69.59 101	68.86 116	70.45 87	74.83 124	77.04 131	78.70 81	58.83 152	56.95 134	57.08 92	54.41 129	56.34 121	66.15 86	77.77 115	76.76 123	87.08 85	82.74 109

v10		70.22 89	69.76 99	70.74 75	74.79 126	80.30 93	79.22 65	59.81 136	57.71 127	56.58 102	54.22 137	55.31 132	66.95 69	78.28 108	77.47 109	87.12 83	85.07 78

V4		65.23 149	66.23 152	64.06 152	61.94 197	76.42 142	72.05 147	54.31 171	49.91 189	50.06 137	47.42 183	52.40 165	60.24 124	75.71 147	76.22 143	85.78 132	85.56 66

v2v482		70.05 93	69.46 104	70.74 75	74.62 138	80.32 92	79.00 68	60.62 117	57.41 129	56.89 94	55.43 111	55.14 135	66.39 78	77.25 132	77.14 116	86.90 90	83.57 99

v1		69.97 95	69.45 106	70.59 81	74.78 128	80.51 87	78.84 72	60.30 123	56.98 132	56.81 96	54.69 125	56.29 124	65.91 94	77.37 128	76.71 136	86.89 92	83.59 96

V42		68.76 116	69.63 100	67.74 116	64.93 193	78.01 113	78.30 90	56.48 166	58.65 120	56.30 103	54.26 133	57.03 117	64.85 98	77.47 126	77.01 118	85.60 137	84.96 81

V9		69.58 102	68.83 117	70.46 85	74.85 123	77.04 131	78.65 82	58.85 148	56.83 137	57.12 91	54.26 133	56.31 122	66.14 88	77.83 114	76.76 123	87.13 80	82.79 106

SD-MVS		86.96 4	89.45 3	84.05 9	90.13 14	89.23 16	89.77 11	74.59 8	89.17 4	80.70 5	89.93 6	89.67 1	78.47 7	87.57 14	86.79 16	90.67 11	93.76 10

GA-MVS		68.14 120	69.17 112	66.93 133	73.77 147	78.50 110	74.45 118	58.28 157	55.11 160	48.44 145	60.08 80	53.99 145	61.50 116	78.43 106	77.57 107	85.13 143	80.54 130

MSLP-MVS++		82.09 30	82.66 34	81.42 23	87.03 36	87.22 36	85.82 35	70.04 35	80.30 37	78.66 13	68.67 55	81.04 36	77.81 13	85.19 37	84.88 37	89.19 43	91.31 31

APDe-MVS		88.00 1	90.50 1	85.08 1	90.95 4	91.58 3	92.03 1	75.53 7	91.15 1	80.10 8	92.27 2	88.34 5	80.80 2	88.00 9	86.99 13	91.09 4	95.16 1

TSAR-MVS + COLMAP		78.34 50	81.64 37	74.48 60	80.13 71	85.01 53	81.73 51	65.93 64	84.75 22	61.68 70	85.79 13	66.27 84	71.39 50	82.91 54	80.78 61	86.01 124	85.98 63

CVMVSNet		62.55 169	65.89 156	58.64 182	66.95 185	69.15 179	66.49 175	56.29 168	52.46 176	32.70 195	59.27 86	58.21 107	50.09 173	71.77 172	71.39 172	79.31 177	78.99 146

TSAR-MVS + ACMM		85.10 18	88.81 9	80.77 28	89.55 22	88.53 27	88.59 21	72.55 23	87.39 10	71.90 36	90.95 4	87.55 7	74.57 28	87.08 21	86.54 20	87.47 70	93.67 11

pmmvs4		67.89 126	67.39 141	68.48 110	71.60 166	73.57 166	74.45 118	60.98 113	64.65 78	57.97 87	54.95 120	51.73 174	61.88 112	73.78 159	75.11 156	83.99 157	77.91 151

EU-MVSNet		54.63 197	58.69 195	49.90 204	56.99 210	62.70 204	56.41 203	50.64 191	45.95 201	23.14 210	50.42 173	46.51 195	36.63 199	65.51 200	64.85 199	75.57 190	74.91 172

test-LLR		64.42 156	64.36 171	64.49 150	75.02 117	63.93 196	66.61 173	61.96 104	54.41 165	47.77 148	57.46 100	60.25 99	55.20 158	70.80 181	69.33 180	80.40 172	74.38 175

TESTMET0.1,1		61.10 183	64.36 171	57.29 186	57.53 209	63.93 196	66.61 173	36.22 220	54.41 165	47.77 148	57.46 100	60.25 99	55.20 158	70.80 181	69.33 180	80.40 172	74.38 175

test-mter		60.84 184	64.62 170	56.42 189	55.99 214	64.18 194	65.39 178	34.23 222	54.39 167	46.21 157	57.40 102	59.49 103	55.86 151	71.02 179	69.65 178	80.87 171	76.20 163

ACMMPR		85.52 12	87.53 14	83.17 16	90.13 14	89.27 14	89.30 14	73.97 15	86.89 14	77.14 19	86.09 12	83.18 25	77.74 14	87.42 15	87.20 10	90.77 7	92.63 19

testgi		54.39 199	57.86 197	50.35 203	71.59 167	67.24 186	54.95 205	53.25 175	43.36 203	23.78 207	44.64 189	47.87 191	24.96 214	70.45 184	68.66 186	73.60 199	62.78 205

test20.03		53.93 200	56.28 200	51.19 202	72.19 159	65.83 191	53.20 207	61.08 112	42.74 204	22.08 214	37.07 202	45.76 198	24.29 218	70.44 185	69.04 182	74.31 197	63.05 204

thres600view7		67.68 130	68.43 128	66.80 134	77.90 82	78.86 104	73.84 129	62.75 86	56.07 150	44.70 166	52.85 156	52.81 161	55.58 154	80.41 76	77.77 102	86.05 121	80.28 134

1111		43.08 214	44.02 216	41.98 213	59.22 203	49.27 221	41.48 219	45.63 207	35.01 215	23.06 211	28.60 215	30.15 218	27.22 209	60.42 212	57.97 214	55.27 223	46.74 220

.test1245		30.81 221	29.14 223	32.77 220	59.22 203	49.27 221	41.48 219	45.63 207	35.01 215	23.06 211	28.60 215	30.15 218	27.22 209	60.42 212	0.10 227	0.01 231	0.43 229

ADS-MVSNet		55.94 196	58.01 196	53.54 200	62.48 196	58.48 208	59.12 200	46.20 204	59.65 112	42.88 174	52.34 165	53.31 157	46.31 183	62.00 208	60.02 212	64.23 218	60.24 210

MP-MVS		85.50 13	87.40 15	83.28 14	90.65 8	89.51 13	89.16 17	74.11 13	83.70 27	78.06 16	85.54 14	84.89 20	77.31 18	87.40 16	87.14 12	90.41 21	93.65 13

testmvs		0.09 226	0.15 227	0.02 228	0.01 232	0.02 233	0.05 234	0.01 230	0.11 231	0.01 235	0.26 231	0.01 235	0.06 231	0.10 229	0.10 227	0.01 231	0.43 229

thres400		67.95 125	68.62 126	67.17 127	77.90 82	78.59 109	74.27 125	62.72 88	56.34 148	45.77 160	53.00 152	53.35 156	56.46 146	80.21 85	78.43 91	85.91 130	80.43 133

test123		0.09 226	0.14 228	0.02 228	0.00 233	0.02 233	0.02 235	0.01 230	0.09 232	0.00 236	0.30 230	0.00 236	0.08 229	0.03 230	0.09 229	0.01 231	0.45 228

thres200		67.98 124	68.55 127	67.30 125	77.89 84	78.86 104	74.18 127	62.75 86	56.35 147	46.48 156	52.98 153	53.54 148	56.46 146	80.41 76	77.97 99	86.05 121	79.78 140

test0.0.03 1		58.80 189	61.58 189	55.56 192	75.02 117	68.45 183	59.58 199	61.96 104	52.74 173	29.57 198	49.75 177	54.56 139	31.46 205	71.19 175	69.77 177	75.75 189	64.57 200

test12356		35.10 220	38.50 219	31.13 221	44.14 223	43.70 224	32.27 224	34.42 221	26.51 225	9.47 227	25.22 221	20.34 225	10.86 226	53.47 219	56.15 215	55.59 222	44.11 221

testus		45.61 213	49.06 211	41.59 214	56.13 213	55.28 212	43.51 217	39.64 218	37.74 212	18.23 219	35.52 208	31.28 215	24.69 216	62.46 207	62.90 204	67.33 213	58.26 213

pmmvs3		47.65 206	49.08 210	45.99 208	44.61 221	54.79 214	50.04 210	31.95 225	33.91 217	29.90 197	30.37 211	33.53 213	46.31 183	63.50 203	63.67 203	73.14 201	63.77 203

testmv		42.58 215	44.36 214	40.49 215	54.63 217	52.76 215	41.21 221	44.37 211	28.83 222	12.87 223	27.16 218	25.03 223	23.01 219	60.83 210	61.13 208	66.88 214	54.81 215

EMVS		20.98 224	17.15 226	25.44 223	39.51 226	19.37 230	12.66 229	39.59 219	19.10 228	6.62 231	9.27 227	4.40 233	22.43 221	17.99 228	24.40 226	31.81 227	25.53 227

E-PMN		21.77 223	18.24 225	25.89 222	40.22 225	19.58 229	12.46 230	39.87 217	18.68 229	6.71 230	9.57 226	4.31 234	22.36 222	19.89 227	27.28 225	33.73 226	28.34 226

test2356		47.20 209	48.62 212	45.54 209	56.38 212	54.89 213	50.62 209	45.08 209	38.65 211	23.40 208	36.23 204	31.10 216	29.31 208	62.76 206	62.49 206	68.48 211	54.23 217

test1235678		42.57 216	44.36 214	40.49 215	54.63 217	52.75 216	41.21 221	44.37 211	28.82 223	12.87 223	27.15 219	25.01 224	23.01 219	60.83 210	61.13 208	66.88 214	54.81 215

PGM-MVS		84.42 22	86.29 22	82.23 20	90.04 16	88.82 21	89.23 16	71.74 28	82.82 30	74.61 26	84.41 17	82.09 27	77.03 22	87.13 19	86.73 18	90.73 9	92.06 26

MCST-MVS		85.13 17	86.62 18	83.39 12	90.55 10	89.82 10	89.29 15	73.89 17	84.38 25	76.03 22	79.01 25	85.90 14	78.47 7	87.81 11	86.11 27	92.11 1	93.29 16

MVS_Test		75.37 59	77.13 62	73.31 64	79.07 76	81.32 74	79.98 58	60.12 133	69.72 62	64.11 65	70.53 47	73.22 56	68.90 60	80.14 86	79.48 84	87.67 67	85.50 70

MDA-MVSNet-bldmvs		53.37 202	53.01 204	53.79 199	43.67 224	67.95 184	59.69 198	57.92 158	43.69 202	32.41 196	41.47 194	27.89 222	52.38 170	56.97 218	65.99 198	76.68 186	67.13 196

CDPH-MVS		82.64 27	85.03 28	79.86 32	89.41 24	88.31 29	88.32 23	71.84 27	80.11 38	67.47 54	82.09 19	81.44 33	71.85 46	85.89 33	86.15 26	90.24 25	91.25 32

diffmvs		73.13 67	75.65 67	70.19 93	74.07 142	77.17 127	78.24 92	57.45 160	72.44 57	64.02 66	69.05 51	75.92 48	64.86 97	75.18 152	75.27 154	82.47 163	84.53 85

PMMVS2		25.60 222	29.75 222	20.76 225	28.00 228	30.93 227	23.10 227	29.18 226	23.14 226	1.46 233	18.23 224	16.54 227	5.08 227	40.22 223	41.40 223	37.76 225	37.79 224

PM-MVS		60.48 185	60.94 192	59.94 175	58.85 206	66.83 188	64.27 185	51.39 186	55.03 162	48.03 147	50.00 176	40.79 206	58.26 132	69.20 192	67.13 195	78.84 179	77.60 153

PS-CasMVS		62.38 174	65.06 165	59.25 181	71.73 161	75.21 159	62.77 191	66.99 57	51.94 180	26.96 204	52.00 166	47.52 193	41.06 194	71.16 177	75.60 150	85.97 128	81.97 119

UniMVSNet_NR-MVSNet		70.59 81	72.19 79	68.72 107	77.72 92	80.72 82	73.81 130	69.65 38	61.99 93	43.23 169	60.54 78	57.50 108	58.57 129	79.56 94	81.07 58	89.34 40	83.97 89

PEN-MVS		62.96 166	65.77 158	59.70 177	73.98 145	75.45 152	63.39 188	67.61 53	52.49 175	25.49 205	53.39 144	49.12 188	40.85 195	71.94 171	77.26 115	86.86 95	80.72 128

TransMVSNet (Re)		64.74 155	65.66 159	63.66 156	77.40 97	75.33 154	69.86 153	62.67 94	47.63 196	41.21 178	50.01 174	52.33 166	45.31 185	79.57 93	77.69 105	85.49 138	77.07 159

DTE-MVSNet		61.85 178	64.96 168	58.22 183	74.32 140	74.39 163	61.01 194	67.85 52	51.76 181	21.91 216	53.28 146	48.17 189	37.74 198	72.22 168	76.44 139	86.52 113	78.49 148

DU-MVS		69.63 99	70.91 85	68.13 113	75.99 107	79.54 96	73.81 130	69.20 43	61.20 101	43.23 169	58.52 89	53.50 149	58.57 129	79.22 98	80.45 73	87.97 60	83.97 89

UniMVSNet (Re)		69.53 104	71.90 80	66.76 136	76.42 102	80.93 78	72.59 142	68.03 50	61.75 97	41.68 177	58.34 95	57.23 116	53.27 167	79.53 95	80.62 71	88.57 52	84.90 82

CP-MVSNet		62.68 168	65.49 161	59.40 180	71.84 160	75.34 153	62.87 190	67.04 56	52.64 174	27.19 203	53.38 145	48.15 190	41.40 193	71.26 174	75.68 148	86.07 119	82.00 117

WR-MVS_H		61.83 180	65.87 157	57.12 187	71.72 162	76.87 137	61.45 193	66.19 58	51.97 179	22.92 213	53.13 151	52.30 168	33.80 203	71.03 178	75.00 157	86.65 109	80.78 127

WR-MVS		63.03 165	67.40 140	57.92 184	75.14 116	77.60 124	60.56 195	66.10 60	54.11 169	23.88 206	53.94 141	53.58 147	34.50 202	73.93 158	77.71 104	87.35 72	80.94 126

NR-MVSNet		68.79 115	70.56 87	66.71 138	77.48 95	79.54 96	73.52 135	69.20 43	61.20 101	39.76 180	58.52 89	50.11 183	51.37 171	80.26 84	80.71 67	88.97 46	83.59 96

Baseline_NR-MVSNet		67.53 136	68.77 120	66.09 140	75.99 107	74.75 161	72.43 143	68.41 46	61.33 100	38.33 184	51.31 169	54.13 144	56.03 149	79.22 98	78.19 96	85.37 140	82.45 112

TranMVSNet+NR-MVSNet		69.25 110	70.81 86	67.43 121	77.23 98	79.46 98	73.48 136	69.66 37	60.43 106	39.56 181	58.82 88	53.48 151	55.74 153	79.59 92	81.21 57	88.89 48	82.70 110

TSAR-MVS + GP.		83.69 24	86.58 20	80.32 29	85.14 47	86.96 38	84.91 43	70.25 34	84.71 23	73.91 29	85.16 15	85.63 15	77.92 12	85.44 34	85.71 30	89.77 31	92.45 21

abl_6				79.05 36	87.27 34	88.85 20	83.62 48	68.25 47	81.68 34	72.94 33	73.79 39	84.45 21	72.55 41			89.66 36	90.64 37

mPP-MVS					89.90 19							81.29 34

DWT-MVSNet_training		67.24 139	65.96 155	68.74 106	76.15 105	74.36 164	74.37 122	56.66 165	61.82 96	60.51 73	58.23 97	49.76 185	65.07 96	70.04 188	70.39 175	79.70 175	77.11 158

testpf		47.41 207	48.47 213	46.18 207	66.30 188	50.67 218	48.15 214	42.60 215	37.10 214	28.75 200	40.97 195	39.01 209	30.82 206	52.95 221	53.74 220	60.46 219	64.87 199

SixPastTwentyTwo		61.84 179	62.45 184	61.12 169	69.20 180	72.20 169	62.03 192	57.40 161	46.54 199	38.03 186	57.14 104	41.72 204	58.12 133	69.67 189	71.58 171	81.94 164	78.30 149

LGP-MVS_train		79.83 37	81.22 40	78.22 43	86.28 41	85.36 51	86.76 29	69.59 39	77.34 43	65.14 61	75.68 31	70.79 64	71.37 51	84.60 39	84.01 40	90.18 26	90.74 36

EPNet_dtu		68.08 123	71.00 84	64.67 149	79.64 72	68.62 182	75.05 114	63.30 78	66.36 67	45.27 162	67.40 61	66.84 83	43.64 188	75.37 150	74.98 158	81.15 168	77.44 154
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x2688		69.20 111	69.26 111	69.13 103	76.86 100	78.93 101	77.27 100	60.12 133	61.86 95	54.42 110	42.54 193	61.61 96	66.91 72	78.55 105	78.14 98	79.23 178	83.23 101

EPNet		79.08 47	80.62 42	77.28 46	88.90 27	83.17 65	83.65 47	72.41 24	74.41 51	67.15 56	76.78 28	74.37 53	64.43 99	83.70 47	83.69 43	87.15 76	88.19 50
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
APD-MVS		86.84 6	88.91 8	84.41 3	90.66 7	90.10 6	90.78 2	75.64 4	87.38 11	78.72 12	90.68 5	86.82 9	80.15 3	87.13 19	86.45 22	90.51 14	93.83 8
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
LP		53.62 201	53.43 201	53.83 198	58.51 208	62.59 205	57.31 201	46.04 206	47.86 194	42.69 175	36.08 205	36.86 210	46.53 182	64.38 202	64.25 201	71.92 203	62.00 207

CNVR-MVS		86.36 8	88.19 11	84.23 5	91.33 3	89.84 8	90.34 5	75.56 5	87.36 12	78.97 11	81.19 22	86.76 10	78.74 6	89.30 2	88.58 1	90.45 20	94.33 4

NCCC		85.34 14	86.59 19	83.88 10	91.48 2	88.88 19	89.79 10	75.54 6	86.67 15	77.94 17	76.55 29	84.99 18	78.07 11	88.04 7	87.68 7	90.46 19	93.31 15

CP-MVS		84.74 21	86.43 21	82.77 18	89.48 23	88.13 32	88.64 19	73.93 16	84.92 19	76.77 20	81.94 20	83.50 23	77.29 20	86.92 25	86.49 21	90.49 15	93.14 17

NP-MVS									80.10 39

EG-PatchMatch MVS		67.24 139	66.94 145	67.60 119	78.73 78	81.35 73	73.28 138	59.49 138	46.89 198	51.42 130	43.65 190	53.49 150	55.50 156	81.38 65	80.66 69	87.15 76	81.17 125

tpm cat1		65.41 147	63.81 175	67.28 126	75.61 113	72.88 167	75.32 107	52.85 177	62.97 88	63.66 67	53.24 148	53.29 158	61.83 114	65.54 199	64.14 202	74.43 196	74.60 173

SteuartSystems-ACMMP		85.99 10	88.31 10	83.27 15	90.73 6	89.84 8	90.27 7	74.31 9	84.56 24	75.88 23	87.32 9	85.04 17	77.31 18	89.01 3	88.46 2	91.14 3	93.96 6
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tpmp4_e23		68.32 119	67.08 144	69.76 99	77.86 85	75.22 158	78.37 89	56.17 169	66.06 70	64.27 64	57.15 103	54.89 137	63.40 103	70.97 180	68.29 190	78.46 180	77.00 160

CostFormer		68.92 113	69.58 101	68.15 112	75.98 109	76.17 148	78.22 93	51.86 183	65.80 71	61.56 71	63.57 71	62.83 93	61.85 113	70.40 187	68.67 185	79.42 176	79.62 141

CR-MVSNet		64.83 154	65.54 160	64.01 154	70.64 171	69.41 177	65.97 176	52.74 178	57.81 124	52.65 122	54.27 131	56.31 122	60.92 119	72.20 169	73.09 165	81.12 169	75.69 167

Patchmtry						65.80 192	65.97 176	52.74 178		52.65 122

PatchT		61.97 177	64.04 173	59.55 179	60.49 201	67.40 185	56.54 202	48.65 197	56.69 139	52.65 122	51.10 171	52.14 171	60.92 119	72.20 169	73.09 165	78.03 181	75.69 167

tpmrst		62.00 176	62.35 186	61.58 166	71.62 165	64.14 195	69.07 158	48.22 201	62.21 92	53.93 114	58.26 96	55.30 133	55.81 152	63.22 204	62.62 205	70.85 206	70.70 189

tpm		62.41 172	63.15 177	61.55 167	72.24 158	63.79 198	71.31 150	46.12 205	57.82 123	55.33 107	59.90 83	54.74 138	53.63 164	67.24 197	64.29 200	70.65 207	74.25 177

DELS-MVS		79.15 46	81.07 41	76.91 48	83.54 54	87.31 35	84.45 44	64.92 69	69.98 59	69.34 48	71.62 45	76.26 46	69.84 56	86.57 27	85.90 28	89.39 39	89.88 42
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		61.71 182	62.88 179	60.34 173	69.51 178	69.41 177	63.48 187	49.23 193	57.81 124	45.64 161	50.51 172	50.12 182	53.13 168	68.17 196	68.49 188	81.07 170	75.62 169

no-one		36.35 219	37.59 220	34.91 218	46.13 219	49.89 220	27.99 226	43.56 213	20.91 227	7.03 229	14.64 225	15.50 229	18.92 224	42.95 222	60.20 211	65.84 216	59.03 212

MVSTER		72.06 72	74.24 70	69.51 101	70.39 172	75.97 149	76.91 102	57.36 162	64.64 79	61.39 72	68.86 52	63.76 90	63.46 102	81.44 63	79.70 77	87.56 69	85.31 74

CPTT-MVS		81.77 31	83.10 32	80.21 30	85.93 43	86.45 43	87.72 27	70.98 31	82.54 32	71.53 42	74.23 38	81.49 32	76.31 25	82.85 55	81.87 51	88.79 50	92.26 24

GBi-Net		70.78 78	73.37 74	67.76 114	72.95 152	78.00 114	75.15 110	62.72 88	64.13 81	51.44 127	58.37 92	69.02 74	57.59 135	81.33 66	80.72 63	86.70 105	82.02 114

PVSNet_Blended_VisFu		76.57 54	77.90 53	75.02 55	80.56 68	86.58 42	79.24 64	66.18 59	64.81 77	68.18 51	65.61 64	71.45 61	67.05 66	84.16 42	81.80 52	88.90 47	90.92 35

PVSNet_BlendedMVS		76.21 55	77.52 57	74.69 58	79.46 73	83.79 59	77.50 98	64.34 73	69.88 60	71.88 37	68.54 56	70.42 66	67.05 66	83.48 49	79.63 78	87.89 63	86.87 59

PVSNet_Blended		76.21 55	77.52 57	74.69 58	79.46 73	83.79 59	77.50 98	64.34 73	69.88 60	71.88 37	68.54 56	70.42 66	67.05 66	83.48 49	79.63 78	87.89 63	86.87 59

FMVSNet5		57.24 192	60.02 194	53.99 197	56.45 211	62.74 203	65.27 179	47.03 202	55.14 159	39.55 182	40.88 196	53.42 155	41.83 190	72.35 165	71.10 174	73.79 198	64.50 201

test1		70.78 78	73.37 74	67.76 114	72.95 152	78.00 114	75.15 110	62.72 88	64.13 81	51.44 127	58.37 92	69.02 74	57.59 135	81.33 66	80.72 63	86.70 105	82.02 114

new_pmnet		38.40 217	42.64 218	33.44 219	37.54 227	45.00 223	36.60 223	32.72 224	40.27 208	12.72 225	29.89 212	28.90 220	24.78 215	53.17 220	52.90 221	56.31 221	48.34 219

FMVSNet3		70.49 82	72.90 76	67.67 118	72.88 155	77.98 117	74.96 116	62.72 88	64.13 81	51.44 127	58.37 92	69.02 74	57.43 138	79.43 96	79.57 81	86.59 111	81.81 121

dps		64.00 162	62.99 178	65.18 143	73.29 149	72.07 170	68.98 159	53.07 176	57.74 126	58.41 82	55.55 110	47.74 192	60.89 121	69.53 190	67.14 194	76.44 188	71.19 188

FMVSNet2		70.39 83	72.67 78	67.72 117	72.95 152	78.00 114	75.15 110	62.69 92	63.29 86	51.25 131	55.64 108	68.49 80	57.59 135	80.91 74	80.35 74	86.70 105	82.02 114

FMVSNet1		68.84 114	70.47 89	66.94 132	71.35 169	77.68 122	74.71 117	62.35 102	56.93 136	49.94 140	50.01 174	64.59 88	57.07 141	81.33 66	80.72 63	86.25 114	82.00 117

N_pmnet		47.35 208	50.13 207	44.11 211	59.98 202	51.64 217	51.86 208	44.80 210	49.58 191	20.76 217	40.65 197	40.05 208	29.64 207	59.84 214	55.15 217	57.63 220	54.00 218

UGNet		72.78 69	77.67 55	67.07 130	71.65 164	83.24 63	75.20 109	63.62 76	64.93 76	56.72 99	71.82 44	73.30 55	49.02 175	81.02 72	80.70 68	86.22 115	88.67 49
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		60.16 186	60.51 193	59.75 176	65.39 190	69.05 180	68.00 162	48.29 199	51.99 177	45.95 159	48.01 180	49.64 186	53.39 166	68.83 193	66.52 196	77.47 183	69.55 192

MDTV_nov1_ep13		64.37 157	65.24 162	63.37 159	68.94 181	70.81 173	72.40 144	50.29 192	60.10 108	53.91 115	60.07 81	59.15 104	57.21 139	69.43 191	67.30 192	77.47 183	69.78 191

MIMVSNet1		49.27 205	53.25 203	44.62 210	44.61 221	61.52 207	53.61 206	52.18 181	41.62 207	18.68 218	28.14 217	41.58 205	25.50 212	68.46 195	69.04 182	73.15 200	62.37 206

MIMVSNet		58.52 191	61.34 190	55.22 193	60.76 200	67.01 187	66.81 170	49.02 195	56.43 145	38.90 183	40.59 198	54.54 140	40.57 196	73.16 162	71.65 170	75.30 194	66.00 198

IterMVS-LS		71.69 74	72.82 77	70.37 90	77.54 94	76.34 145	75.13 113	60.46 121	61.53 99	57.57 88	64.89 67	67.33 81	66.04 91	77.09 135	77.37 113	85.48 139	85.18 76
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet		67.65 132	69.83 98	65.09 144	75.39 114	76.55 140	74.42 121	63.75 75	53.55 171	49.37 143	59.41 85	62.45 94	44.44 186	79.71 90	79.82 76	83.17 161	77.36 155
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
IterMVS		66.36 143	68.30 131	64.10 151	69.48 179	74.61 162	73.41 137	50.79 189	57.30 130	48.28 146	60.64 77	59.92 101	60.85 122	74.14 157	72.66 167	81.80 165	78.82 147
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MVS_111021_LR		78.13 51	79.85 49	76.13 51	81.12 64	81.50 72	80.28 57	65.25 66	76.09 47	71.32 44	76.49 30	72.87 58	72.21 42	82.79 56	81.29 56	86.59 111	87.91 52

HQP-MVS		81.19 34	83.27 31	78.76 39	87.40 33	85.45 49	86.95 28	70.47 33	81.31 35	66.91 57	79.24 24	76.63 45	71.67 49	84.43 41	83.78 42	89.19 43	92.05 28

QAPM		78.47 49	80.22 47	76.43 50	85.03 49	86.75 41	80.62 56	66.00 62	73.77 55	65.35 60	65.54 66	78.02 42	72.69 40	83.71 46	83.36 46	88.87 49	90.41 41

Vis-MVSNet		72.77 70	77.20 61	67.59 120	74.19 141	84.01 57	76.61 105	61.69 108	60.62 105	50.61 135	70.25 49	71.31 63	55.57 155	83.85 45	82.28 48	86.90 90	88.08 51
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet		54.41 198	52.10 205	57.11 188	58.99 205	56.10 211	49.68 212	49.10 194	46.18 200	52.15 126	33.18 210	46.11 197	56.10 148	63.19 205	59.70 213	76.64 187	60.25 209

HyFIR lowres test		69.47 107	68.94 114	70.09 95	76.77 101	82.93 66	76.63 104	60.17 128	59.00 115	54.03 113	40.54 199	65.23 87	67.89 65	76.54 143	78.30 94	85.03 145	80.07 136

EPMVS		60.00 187	61.97 187	57.71 185	68.46 182	63.17 202	64.54 183	48.23 200	63.30 85	44.72 165	60.19 79	56.05 130	50.85 172	65.27 201	62.02 207	69.44 209	63.81 202

TAMVS		59.58 188	62.81 181	55.81 191	66.03 189	65.64 193	63.86 186	48.74 196	49.95 186	37.07 188	54.77 124	58.54 105	44.44 186	72.29 166	71.79 169	74.70 195	66.66 197

IS_MVSNet		73.33 65	77.34 60	68.65 109	81.29 62	83.47 61	74.45 118	63.58 77	65.75 72	48.49 144	67.11 63	70.61 65	54.63 160	84.51 40	83.58 44	89.48 38	86.34 62

RPSCF		67.64 133	71.25 83	63.43 158	61.86 199	70.73 174	67.26 167	50.86 188	74.20 53	58.91 79	67.49 60	69.33 71	64.10 100	71.41 173	68.45 189	77.61 182	77.17 156

Vis-MVSNet (Re-imp)		67.83 128	73.52 72	61.19 168	78.37 80	76.72 139	66.80 171	62.96 82	65.50 73	34.17 194	67.19 62	69.68 70	39.20 197	79.39 97	79.44 85	85.68 136	76.73 162

MVS_111021_HR		80.13 36	81.46 38	78.58 40	85.77 44	85.17 52	83.45 49	69.28 42	74.08 54	70.31 47	74.31 37	75.26 51	73.13 37	86.46 29	85.15 35	89.53 37	89.81 43

CSCG		85.28 16	87.68 13	82.49 19	89.95 18	91.99 1	88.82 18	71.20 30	86.41 16	79.63 10	79.26 23	88.36 4	73.94 33	86.64 26	86.67 19	91.40 2	94.41 2

PatchMatch-RL		67.78 129	66.65 149	69.10 104	73.01 151	72.69 168	68.49 160	61.85 106	62.93 89	60.20 76	56.83 105	50.42 181	69.52 58	75.62 149	74.46 160	81.51 166	73.62 181

TDRefinement		66.09 145	65.03 167	67.31 124	69.73 176	76.75 138	75.33 106	64.55 72	60.28 107	49.72 142	45.63 188	42.83 202	60.46 123	75.75 146	75.95 147	84.08 155	78.04 150

USDC		67.36 137	67.90 135	66.74 137	71.72 162	75.23 156	71.58 149	60.28 126	67.45 65	50.54 136	60.93 76	45.20 199	62.08 109	76.56 142	74.50 159	84.25 154	75.38 170

EPP-MVSNet		74.00 64	77.41 59	70.02 96	80.53 69	83.91 58	74.99 115	62.68 93	65.06 75	49.77 141	68.68 54	72.09 60	63.06 105	82.49 57	80.73 62	89.12 45	88.91 47

PMMVS		65.06 153	69.17 112	60.26 174	55.25 216	63.43 199	66.71 172	43.01 214	62.41 90	50.64 134	69.44 50	67.04 82	63.29 104	74.36 156	73.54 163	82.68 162	73.99 178

ACMMP		83.42 25	85.27 26	81.26 24	88.47 29	88.49 28	88.31 24	72.09 25	83.42 28	72.77 34	82.65 18	78.22 41	75.18 27	86.24 31	85.76 29	90.74 8	92.13 25
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		77.20 53	77.54 56	76.80 49	82.63 57	84.31 56	79.77 60	64.64 70	85.17 18	73.18 32	56.37 106	69.81 69	74.53 29	81.12 71	78.69 89	86.04 123	87.29 58

PatchmatchNet		64.21 161	64.65 169	63.69 155	71.29 170	68.66 181	69.63 155	51.70 185	63.04 87	53.77 116	59.83 84	58.34 106	60.23 125	68.54 194	66.06 197	75.56 191	68.08 195
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS		82.36 29	85.89 24	78.24 42	86.40 40	89.52 12	85.52 37	69.52 41	82.38 33	65.67 59	81.35 21	82.36 26	73.07 38	87.31 18	86.76 17	89.24 41	91.56 29

OMC-MVS		80.26 35	82.59 35	77.54 45	83.04 55	85.54 47	83.25 50	65.05 68	87.32 13	72.42 35	72.04 43	78.97 39	73.30 36	83.86 44	81.60 54	88.15 56	88.83 48

AdaColmap		79.74 40	78.62 51	81.05 26	89.23 26	86.06 45	84.95 42	71.96 26	79.39 41	75.51 24	63.16 72	68.84 78	76.51 24	83.55 48	82.85 47	88.13 57	86.46 61

DeepMVS_CX						18.74 231	18.55 228	8.02 227	26.96 224	7.33 228	23.81 222	13.05 230	25.99 211	25.17 226		22.45 230	36.25 225

TinyColmap		62.84 167	61.03 191	64.96 147	69.61 177	71.69 171	68.48 161	59.76 137	55.41 156	47.69 150	47.33 185	34.20 212	62.76 107	74.52 154	72.59 168	81.44 167	71.47 187

MAR-MVS		79.21 44	80.32 46	77.92 44	87.46 32	88.15 31	83.95 46	67.48 54	74.28 52	68.25 50	64.70 69	77.04 44	72.17 43	85.42 35	85.00 36	88.22 54	87.62 55
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		71.52 75	69.87 95	73.44 63	82.21 61	79.35 99	79.52 62	64.59 71	66.15 68	61.87 69	53.21 149	56.09 129	65.85 95	78.94 101	78.50 90	86.60 110	76.85 161

LS3D		74.08 63	73.39 73	74.88 57	85.05 48	82.62 68	79.71 61	68.66 45	72.82 56	58.80 80	57.61 99	61.31 97	71.07 53	80.32 82	78.87 88	86.00 126	80.18 135

CLD-MVS		79.35 43	81.23 39	77.16 47	85.01 50	86.92 39	85.87 34	60.89 114	80.07 40	75.35 25	72.96 40	73.21 57	68.43 64	85.41 36	84.63 38	87.41 71	85.44 72
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS		51.87 203	50.00 208	54.07 196	66.83 186	57.25 209	60.25 197	50.91 187	50.25 185	34.36 193	36.04 206	32.02 214	41.49 192	58.98 216	56.07 216	70.56 208	59.36 211

Gipuma		36.38 218	35.80 221	37.07 217	45.76 220	33.90 226	29.81 225	48.47 198	39.91 209	18.02 220	8.00 229	8.14 231	25.14 213	59.29 215	61.02 210	55.19 224	40.31 222
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015

High-resolution multi-view benchmark