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.

DeepC-MVS_fast	98.69 1	99.49 13	99.39 15	99.77 35	99.63 99	99.59 47	99.36 184	99.46 138	99.07 9	99.79 18	99.82 44	98.85 31	99.92 63	98.68 84	99.87 38	99.82 31
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepC-MVS	98.35 2	99.30 44	99.19 47	99.64 62	99.82 29	99.23 89	99.62 75	99.55 55	98.94 26	99.63 51	99.95 2	95.82 137	99.94 40	99.37 17	99.97 3	99.73 64
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DeepPCF-MVS	98.18 3	98.81 109	99.37 17	97.12 291	99.60 109	91.75 319	98.61 309	99.44 157	99.35 1	99.83 11	99.85 26	98.70 49	99.81 134	99.02 48	99.91 17	99.81 35

PLC	97.94 4	99.02 85	98.85 89	99.53 79	99.66 93	99.01 111	99.24 220	99.52 76	96.85 202	99.27 127	99.48 186	98.25 73	99.91 72	97.76 162	99.62 102	99.65 89
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
ACMM	97.58 5	98.37 137	98.34 131	98.48 219	99.41 143	97.10 235	99.56 104	99.45 149	98.53 54	99.04 179	99.85 26	93.00 233	99.71 168	98.74 75	97.45 218	98.64 249
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
COLMAP_ROB	97.56 6	98.86 100	98.75 100	99.17 126	99.88 11	98.53 180	99.34 191	99.59 38	97.55 146	98.70 226	99.89 10	95.83 136	99.90 84	98.10 133	99.90 24	99.08 164
Johannes L. SchÃ¶nberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
HY-MVS	97.30 7	98.85 106	98.64 111	99.47 91	99.42 140	99.08 103	99.62 75	99.36 193	97.39 161	99.28 123	99.68 117	96.44 119	99.92 63	98.37 117	98.22 177	99.40 142

ACMH	97.28 8	98.10 157	97.99 154	98.44 226	99.41 143	96.96 250	99.60 83	99.56 48	98.09 89	98.15 261	99.91 5	90.87 281	99.70 174	98.88 57	97.45 218	98.67 233
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
3Dnovator	97.25 9	99.24 53	99.05 58	99.81 27	99.12 205	99.66 35	99.84 9	99.74 10	99.09 8	98.92 197	99.90 7	95.94 132	99.98 5	98.95 53	99.92 12	99.79 44

ACMH+	97.24 10	97.92 188	97.78 173	98.32 234	99.46 134	96.68 260	99.56 104	99.54 62	98.41 63	97.79 276	99.87 19	90.18 288	99.66 181	98.05 142	97.18 231	98.62 257

ACMP	97.20 11	98.06 160	97.94 158	98.45 223	99.37 153	97.01 244	99.44 150	99.49 104	97.54 149	98.45 247	99.79 72	91.95 260	99.72 162	97.91 149	97.49 216	98.62 257
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
LTVRE_ROB	97.16 12	98.02 171	97.90 160	98.40 229	99.23 182	96.80 256	99.70 42	99.60 35	97.12 183	98.18 260	99.70 106	91.73 269	99.72 162	98.39 114	97.45 218	98.68 222
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
3Dnovator+	97.12 13	99.18 57	98.97 71	99.82 24	99.17 197	99.68 31	99.81 15	99.51 85	99.20 4	98.72 219	99.89 10	95.68 141	99.97 11	98.86 64	99.86 48	99.81 35

PCF-MVS	97.08 14	97.66 229	97.06 247	99.47 91	99.61 107	99.09 102	98.04 327	99.25 241	91.24 316	98.51 243	99.70 106	94.55 195	99.91 72	92.76 306	99.85 52	99.42 140
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
TAPA-MVS	97.07 15	97.74 216	97.34 232	98.94 150	99.70 77	97.53 224	99.25 218	99.51 85	91.90 313	99.30 115	99.63 139	98.78 37	99.64 185	88.09 320	99.87 38	99.65 89
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
OpenMVS	96.50 16	98.47 129	98.12 143	99.52 83	99.04 220	99.53 56	99.82 13	99.72 11	94.56 284	98.08 264	99.88 14	94.73 187	99.98 5	97.47 192	99.76 77	99.06 169

PVSNet	96.02 17	98.85 106	98.84 90	98.89 168	99.73 64	97.28 227	98.32 320	99.60 35	97.86 114	99.50 75	99.57 159	96.75 112	99.86 104	98.56 100	99.70 90	99.54 113

IB-MVS	95.67 18	96.22 274	95.44 282	98.57 210	99.21 185	96.70 258	98.65 308	97.74 331	96.71 208	97.27 281	98.54 295	86.03 318	99.92 63	98.47 110	86.30 329	99.10 159
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
PVSNet_0	94.43 19	96.09 278	95.47 280	97.94 265	99.31 168	94.34 303	97.81 328	99.70 15	97.12 183	97.46 278	98.75 286	89.71 291	99.79 141	97.69 172	81.69 333	99.68 82

OpenMVS_ROB	92.34 20	94.38 294	93.70 295	96.41 302	97.38 312	93.17 313	99.06 256	98.75 295	86.58 326	94.84 303	98.26 301	81.53 331	99.32 232	89.01 317	97.87 197	96.76 322

MVE	76.82 21	76.91 316	74.31 318	84.70 323	85.38 343	76.05 342	96.88 334	93.17 345	67.39 338	71.28 340	89.01 339	21.66 353	87.69 341	71.74 339	72.29 336	90.35 336
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
PMVS	70.75 22	75.98 317	74.97 316	79.01 330	70.98 346	55.18 347	93.37 338	98.21 322	65.08 341	61.78 343	93.83 331	21.74 352	92.53 336	78.59 334	91.12 311	89.34 337
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
CMPMVS	69.68 23	94.13 295	94.90 287	91.84 315	97.24 316	80.01 336	98.52 313	99.48 113	89.01 323	91.99 322	99.67 121	85.67 320	99.13 266	95.44 263	97.03 233	96.39 324
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
test_part2					99.81 32	99.83 7				99.77 23

tfpn_ndepth		98.17 148	97.84 166	99.15 129	99.75 48	98.76 161	99.61 81	97.39 335	96.92 199	99.61 56	99.38 213	92.19 258	99.86 104	97.57 180	98.13 188	98.82 191

test_part1								99.48 113				98.96 20			99.84 57	99.83 23

conf200view11		97.78 208	97.45 212	98.77 195	99.72 67	97.86 212	99.59 85	98.74 298	97.93 110	99.26 131	98.62 289	91.75 266	99.83 121	93.22 299	98.18 181	98.61 266

thres100view900		97.76 210	97.45 212	98.69 201	99.72 67	97.86 212	99.59 85	98.74 298	97.93 110	99.26 131	98.62 289	91.75 266	99.83 121	93.22 299	98.18 181	98.37 287

tfpnnormal		97.84 196	97.47 209	98.98 144	99.20 187	99.22 90	99.64 70	99.61 32	96.32 238	98.27 258	99.70 106	93.35 229	99.44 209	95.69 258	95.40 259	98.27 290

tfpn200view9		97.72 219	97.38 225	98.72 199	99.69 79	97.96 207	99.50 125	98.73 306	97.83 119	99.17 157	98.45 297	91.67 271	99.83 121	93.22 299	98.18 181	98.37 287

view600		97.97 179	97.66 188	98.89 168	99.75 48	97.81 215	99.69 44	98.80 290	98.02 102	99.25 134	98.88 274	91.95 260	99.89 92	94.36 283	98.29 173	98.96 180

view800		97.97 179	97.66 188	98.89 168	99.75 48	97.81 215	99.69 44	98.80 290	98.02 102	99.25 134	98.88 274	91.95 260	99.89 92	94.36 283	98.29 173	98.96 180

conf0.05thres1000		97.97 179	97.66 188	98.89 168	99.75 48	97.81 215	99.69 44	98.80 290	98.02 102	99.25 134	98.88 274	91.95 260	99.89 92	94.36 283	98.29 173	98.96 180

tfpn		97.97 179	97.66 188	98.89 168	99.75 48	97.81 215	99.69 44	98.80 290	98.02 102	99.25 134	98.88 274	91.95 260	99.89 92	94.36 283	98.29 173	98.96 180

test11111								99.47 128

CHOSEN 280x420		99.12 67	99.13 52	99.08 133	99.66 93	97.89 210	98.43 316	99.71 13	98.88 30	99.62 54	99.76 85	96.63 115	99.70 174	99.46 14	99.99 1	99.66 86

CANet		99.25 52	99.14 51	99.59 68	99.41 143	99.16 94	99.35 188	99.57 44	98.82 35	99.51 74	99.61 147	96.46 118	99.95 33	99.59 2	99.98 2	99.65 89

Fast-Effi-MVS+-dtu		98.77 115	98.83 93	98.60 207	99.41 143	96.99 246	99.52 116	99.49 104	98.11 86	99.24 139	99.34 231	96.96 105	99.79 141	97.95 147	99.45 105	99.02 173

Effi-MVS+-dtu		98.78 113	98.89 82	98.47 221	99.33 160	96.91 252	99.57 97	99.30 222	98.47 57	99.41 92	98.99 267	96.78 109	99.74 150	98.73 77	99.38 109	98.74 204

CANet_DTU		98.97 92	98.87 84	99.25 119	99.33 160	98.42 192	99.08 251	99.30 222	99.16 5	99.43 87	99.75 90	95.27 150	99.97 11	98.56 100	99.95 6	99.36 145

MVS_0304		99.06 79	98.86 87	99.66 53	99.51 122	99.36 75	99.22 225	99.51 85	98.95 24	99.58 62	99.65 128	93.74 226	99.98 5	99.66 1	99.95 6	99.64 95

MP-MVS-pluss		99.37 37	99.20 46	99.88 4	99.90 3	99.87 2	99.30 198	99.52 76	97.18 177	99.60 58	99.79 72	98.79 36	99.95 33	98.83 68	99.91 17	99.83 23
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HSP-MVS		99.41 32	99.26 43	99.85 17	99.89 8	99.80 13	99.67 55	99.37 192	98.70 45	99.77 23	99.49 180	98.21 74	99.95 33	98.46 111	99.77 75	99.81 35

sam_mvs1												94.86 175

sam_mvs												94.72 188

semantic-postprocess				98.06 257	99.57 114	96.36 269		99.49 104	97.18 177	98.71 220	99.72 102	92.70 245	99.14 263	97.44 195	95.86 252	98.67 233

TSAR-MVS + MP.		99.58 3	99.50 7	99.81 27	99.91 1	99.66 35	99.63 72	99.39 179	98.91 29	99.78 22	99.85 26	99.36 2	99.94 40	98.84 66	99.88 34	99.82 31

xiu_mvs_v1_base_debu		99.29 46	99.27 40	99.34 105	99.63 99	98.97 118	99.12 241	99.51 85	98.86 31	99.84 8	99.47 190	98.18 75	99.99 1	99.50 8	99.31 114	99.08 164

OPM-MVS		98.19 147	98.10 144	98.45 223	98.88 255	97.07 239	99.28 205	99.38 185	98.57 52	99.22 146	99.81 53	92.12 259	99.66 181	98.08 138	97.54 210	98.61 266

ACMMP_Plus		99.47 20	99.34 24	99.88 4	99.87 15	99.86 3	99.47 142	99.48 113	98.05 98	99.76 27	99.86 22	98.82 33	99.93 55	98.82 71	99.91 17	99.84 12

ambc				93.06 310	92.68 331	82.36 333	98.47 315	98.73 306		95.09 301	97.41 320	55.55 341	99.10 271	96.42 245	91.32 310	97.71 317

MPTG		99.49 13	99.36 19	99.89 2	99.90 3	99.86 3	99.36 184	99.47 128	98.79 40	99.68 35	99.81 53	98.43 62	99.97 11	98.88 57	99.90 24	99.83 23

MTGPA								99.47 128

mvs-test1		98.86 100	98.84 90	98.89 168	99.33 160	97.77 220	99.44 150	99.30 222	98.47 57	99.10 167	99.43 199	96.78 109	99.95 33	98.73 77	99.02 133	98.96 180

Effi-MVS+		98.81 109	98.59 120	99.48 88	99.46 134	99.12 100	98.08 326	99.50 99	97.50 151	99.38 99	99.41 204	96.37 121	99.81 134	99.11 41	98.54 163	99.51 121

xiu_mvs_v2_base		99.26 51	99.25 44	99.29 116	99.53 119	98.91 131	99.02 267	99.45 149	98.80 39	99.71 30	99.26 245	98.94 25	99.98 5	99.34 22	99.23 118	98.98 177

xiu_mvs_v1_base		99.29 46	99.27 40	99.34 105	99.63 99	98.97 118	99.12 241	99.51 85	98.86 31	99.84 8	99.47 190	98.18 75	99.99 1	99.50 8	99.31 114	99.08 164

new-patchmatchnet		94.48 292	94.08 293	95.67 304	95.08 324	92.41 316	99.18 232	99.28 233	94.55 285	93.49 317	97.37 322	87.86 312	97.01 323	91.57 309	88.36 318	97.61 318

pmmvs6		96.53 261	96.09 262	97.82 275	98.69 283	95.47 286	99.37 180	99.47 128	93.46 303	97.41 279	99.78 77	87.06 316	99.33 229	96.92 226	92.70 306	98.65 247

pmmvs5		97.52 236	97.30 237	98.16 254	98.57 293	96.73 257	99.27 208	98.90 282	96.14 256	98.37 251	99.53 168	91.54 275	99.14 263	97.51 187	95.87 251	98.63 255

test_post1							99.23 221				65.14 344	94.18 210	99.71 168	97.58 178

test_post											65.99 343	94.65 192	99.73 158

Fast-Effi-MVS+		98.70 119	98.43 126	99.51 85	99.51 122	99.28 83	99.52 116	99.47 128	96.11 258	99.01 182	99.34 231	96.20 126	99.84 114	97.88 151	98.82 150	99.39 143

patchmatchnet-post											98.70 287	94.79 179	99.74 150

Anonymous20231211		90.69 304	89.39 305	94.58 306	94.25 326	88.18 324	99.29 202	99.07 261	82.45 331	92.95 319	97.65 312	63.96 339	97.79 316	89.27 316	85.63 330	97.77 315

pmmvs-eth3d		95.34 287	94.73 288	97.15 289	95.53 322	95.94 277	99.35 188	99.10 256	95.13 272	93.55 316	97.54 319	88.15 311	97.91 313	94.58 277	89.69 315	97.61 318

GG-mvs-BLEND				98.45 223	98.55 294	98.16 199	99.43 155	93.68 343		97.23 282	98.46 296	89.30 295	99.22 256	95.43 264	98.22 177	97.98 301

xiu_mvs_v1_base_debi		99.29 46	99.27 40	99.34 105	99.63 99	98.97 118	99.12 241	99.51 85	98.86 31	99.84 8	99.47 190	98.18 75	99.99 1	99.50 8	99.31 114	99.08 164

Anonymous20231206		96.22 274	96.03 263	96.79 298	97.31 315	94.14 304	99.63 72	99.08 258	96.17 252	97.04 286	99.06 262	93.94 217	97.76 318	86.96 324	95.06 267	98.47 280

MTAPA		99.52 11	99.39 15	99.89 2	99.90 3	99.86 3	99.66 58	99.47 128	98.79 40	99.68 35	99.81 53	98.43 62	99.97 11	98.88 57	99.90 24	99.83 23

MTMP								98.88 284

gm-plane-assit					98.54 295	92.96 314			94.65 280		99.15 253		99.64 185	97.56 182

test9_res														97.49 189	99.72 84	99.75 54

MVP-Stereo		97.81 202	97.75 183	97.99 263	97.53 310	96.60 262	98.96 282	98.85 286	97.22 175	97.23 282	99.36 224	95.28 149	99.46 203	95.51 262	99.78 73	97.92 305
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
TEST9					99.67 83	99.65 38	99.05 258	99.41 169	96.22 248	98.95 193	99.49 180	98.77 40	99.91 72

train_agg		99.02 85	98.77 97	99.77 35	99.67 83	99.65 38	99.05 258	99.41 169	96.28 241	98.95 193	99.49 180	98.76 42	99.91 72	97.63 175	99.72 84	99.75 54

gg-mvs-nofinetune		96.17 276	95.32 283	98.73 198	98.79 267	98.14 200	99.38 178	94.09 342	91.07 318	98.07 267	91.04 336	89.62 293	99.35 225	96.75 232	99.09 128	98.68 222

Patchmatch-test1		98.16 150	98.14 141	98.22 249	99.30 169	95.55 282	99.07 252	98.97 271	97.57 144	99.43 87	99.60 150	92.72 242	99.60 193	97.38 198	99.20 120	99.50 124

Patchmatch-test		97.93 185	97.65 193	98.77 195	99.18 192	97.07 239	99.03 264	99.14 253	96.16 253	98.74 217	99.57 159	94.56 194	99.72 162	93.36 298	99.11 125	99.52 118

test_8					99.67 83	99.61 43	99.03 264	99.41 169	96.28 241	98.93 196	99.48 186	98.76 42	99.91 72

MS-PatchMatch		97.24 251	97.32 235	96.99 292	98.45 298	93.51 312	98.82 296	99.32 219	97.41 159	98.13 262	99.30 239	88.99 297	99.56 196	95.68 259	99.80 69	97.90 306

Patchmatch-RL test		95.84 280	95.81 269	95.95 303	95.61 320	90.57 321	98.24 322	98.39 317	95.10 274	95.20 300	98.67 288	94.78 180	97.77 317	96.28 248	90.02 313	99.51 121

agg_prior3		98.97 92	98.71 103	99.75 38	99.67 83	99.60 45	99.04 263	99.41 169	95.93 263	98.87 203	99.48 186	98.61 54	99.91 72	97.63 175	99.72 84	99.75 54

cdsmvs_eth3d_5k		24.64 323	32.85 324	0.00 336	0.00 350	0.00 351	0.00 341	99.51 85	0.00 345	0.00 347	99.56 161	96.58 116	0.00 348	0.00 345	0.00 347	0.00 345

pcd_1.5k_mvsjas		8.27 325	11.03 326	0.00 336	0.00 350	0.00 351	0.00 341	0.00 353	0.00 345	0.00 347	0.27 347	99.01 11	0.00 348	0.00 345	0.00 347	0.00 345

pcd1.5k->3k		40.85 319	43.49 321	32.93 333	98.95 238	0.00 351	0.00 341	99.53 72	0.00 345	0.00 347	0.27 347	95.32 148	0.00 348	0.00 345	97.30 226	98.80 193

agg_prior1		99.01 88	98.76 99	99.76 37	99.67 83	99.62 41	98.99 273	99.40 176	96.26 244	98.87 203	99.49 180	98.77 40	99.91 72	97.69 172	99.72 84	99.75 54

agg_prior2														97.21 205	99.73 83	99.75 54

agg_prior					99.67 83	99.62 41		99.40 176		98.87 203			99.91 72

tmp_tt		82.80 311	81.52 311	86.66 322	66.61 347	68.44 345	92.79 339	97.92 326	68.96 337	80.04 337	99.85 26	85.77 319	96.15 328	97.86 153	43.89 342	95.39 328

canonicalmvs		99.02 85	98.86 87	99.51 85	99.42 140	99.32 78	99.80 19	99.48 113	98.63 48	99.31 114	98.81 282	97.09 101	99.75 149	99.27 29	97.90 196	99.47 131

anonymousdsp		98.44 131	98.28 136	98.94 150	98.50 296	98.96 122	99.77 24	99.50 99	97.07 188	98.87 203	99.77 82	94.76 185	99.28 241	98.66 85	97.60 204	98.57 274

alignmvs		98.81 109	98.56 122	99.58 71	99.43 139	99.42 70	99.51 120	98.96 273	98.61 50	99.35 108	98.92 273	94.78 180	99.77 145	99.35 18	98.11 190	99.54 113

nrg030		98.64 125	98.42 127	99.28 118	99.05 219	99.69 30	99.81 15	99.46 138	98.04 99	99.01 182	99.82 44	96.69 114	99.38 215	99.34 22	94.59 281	98.78 195

v144192		97.92 188	97.60 197	98.87 179	98.83 264	98.65 169	99.55 109	99.34 205	96.20 249	99.32 113	99.40 208	94.36 202	99.26 249	96.37 247	95.03 268	98.70 212

FIs		98.78 113	98.63 112	99.23 123	99.18 192	99.54 53	99.83 12	99.59 38	98.28 70	98.79 213	99.81 53	96.75 112	99.37 218	99.08 43	96.38 243	98.78 195

v1921920		97.80 204	97.45 212	98.84 187	98.80 265	98.53 180	99.52 116	99.34 205	96.15 255	99.24 139	99.47 190	93.98 216	99.29 240	95.40 265	95.13 266	98.69 217

UA-Net		99.42 29	99.29 36	99.80 29	99.62 103	99.55 52	99.50 125	99.70 15	98.79 40	99.77 23	99.96 1	97.45 92	99.96 19	98.92 55	99.90 24	99.89 2

v1192		97.81 202	97.44 217	98.91 162	98.88 255	98.68 165	99.51 120	99.34 205	96.18 251	99.20 151	99.34 231	94.03 215	99.36 222	95.32 267	95.18 263	98.69 217

FC-MVSNet-test		98.75 116	98.62 115	99.15 129	99.08 213	99.45 67	99.86 8	99.60 35	98.23 75	98.70 226	99.82 44	96.80 108	99.22 256	99.07 44	96.38 243	98.79 194

v1144		97.98 176	97.69 187	98.85 186	98.87 258	98.66 168	99.54 112	99.35 197	96.27 243	99.23 144	99.35 228	94.67 190	99.23 253	96.73 233	95.16 264	98.68 222

sosnet-low-res		0.02 326	0.03 327	0.00 336	0.00 350	0.00 351	0.00 341	0.00 353	0.00 345	0.00 347	0.27 347	0.00 354	0.00 348	0.00 345	0.00 347	0.00 345

HFP-MVS		99.49 13	99.37 17	99.86 12	99.87 15	99.80 13	99.66 58	99.67 22	98.15 80	99.68 35	99.69 112	99.06 8	99.96 19	98.69 82	99.87 38	99.84 12

v148		97.79 206	97.55 199	98.50 216	98.74 276	97.72 223	99.54 112	99.33 213	96.26 244	98.90 200	99.51 175	94.68 189	99.14 263	97.83 155	93.15 301	98.63 255

sosnet		0.02 326	0.03 327	0.00 336	0.00 350	0.00 351	0.00 341	0.00 353	0.00 345	0.00 347	0.27 347	0.00 354	0.00 348	0.00 345	0.00 347	0.00 345

v748		97.52 236	97.23 242	98.41 228	98.69 283	97.23 232	99.87 4	99.45 149	95.72 266	98.51 243	99.53 168	94.13 211	99.30 238	96.78 231	92.39 308	98.70 212

uncertanet		0.02 326	0.03 327	0.00 336	0.00 350	0.00 351	0.00 341	0.00 353	0.00 345	0.00 347	0.27 347	0.00 354	0.00 348	0.00 345	0.00 347	0.00 345

AllTest		98.87 97	98.72 101	99.31 110	99.86 20	98.48 188	99.56 104	99.61 32	97.85 116	99.36 105	99.85 26	95.95 130	99.85 109	96.66 238	99.83 62	99.59 107

TestCases				99.31 110	99.86 20	98.48 188		99.61 32	97.85 116	99.36 105	99.85 26	95.95 130	99.85 109	96.66 238	99.83 62	99.59 107

v7n		97.87 192	97.52 201	98.92 158	98.76 275	98.58 177	99.84 9	99.46 138	96.20 249	98.91 198	99.70 106	94.89 173	99.44 209	96.03 251	93.89 294	98.75 201

v1141		98.05 166	97.76 180	98.91 162	98.91 250	98.78 159	99.57 97	99.35 197	96.41 234	99.23 144	99.36 224	94.93 169	99.27 244	97.38 198	94.72 275	98.68 222

region2R		99.48 17	99.35 22	99.87 6	99.88 11	99.80 13	99.65 68	99.66 25	98.13 82	99.66 46	99.68 117	98.96 20	99.96 19	98.62 90	99.87 38	99.84 12

testing_2		94.44 293	92.93 299	98.98 144	94.16 327	99.00 113	99.42 162	99.28 233	96.60 217	84.86 330	96.84 324	70.91 333	99.27 244	98.23 126	96.08 249	98.68 222

test_normal		97.44 244	96.77 254	99.44 97	97.75 309	99.00 113	99.10 249	98.64 310	97.71 133	93.93 313	98.82 281	87.39 314	99.83 121	98.61 92	98.97 137	99.49 125

v1neww		98.12 154	97.84 166	98.93 153	98.97 233	98.81 150	99.66 58	99.35 197	96.49 222	99.29 119	99.37 217	95.02 162	99.32 232	97.73 166	94.73 273	98.67 233

PS-MVSNAJss		98.92 95	98.92 77	98.90 166	98.78 271	98.53 180	99.78 22	99.54 62	98.07 93	99.00 189	99.76 85	99.01 11	99.37 218	99.13 39	97.23 228	98.81 192

PS-MVSNAJ		99.32 42	99.32 26	99.30 113	99.57 114	98.94 126	98.97 280	99.46 138	98.92 28	99.71 30	99.24 247	99.01 11	99.98 5	99.35 18	99.66 96	98.97 178

jajsoiax		98.43 132	98.28 136	98.88 175	98.60 291	98.43 190	99.82 13	99.53 72	98.19 76	98.63 237	99.80 64	93.22 231	99.44 209	99.22 31	97.50 213	98.77 198

mvs_tets		98.40 135	98.23 138	98.91 162	98.67 286	98.51 185	99.66 58	99.53 72	98.19 76	98.65 235	99.81 53	92.75 239	99.44 209	99.31 25	97.48 217	98.77 198

#test#		99.43 27	99.29 36	99.86 12	99.87 15	99.80 13	99.55 109	99.67 22	97.83 119	99.68 35	99.69 112	99.06 8	99.96 19	98.39 114	99.87 38	99.84 12

EI-MVSNet-UG-set		99.58 3	99.57 1	99.64 62	99.78 35	99.14 98	99.60 83	99.45 149	99.01 13	99.90 1	99.83 37	98.98 18	99.93 55	99.59 2	99.95 6	99.86 5

EI-MVSNet-Vis-set		99.58 3	99.56 3	99.64 62	99.78 35	99.15 97	99.61 81	99.45 149	99.01 13	99.89 2	99.82 44	99.01 11	99.92 63	99.56 5	99.95 6	99.85 8

Regformer-3		99.57 6	99.53 5	99.68 50	99.76 42	99.29 82	99.58 91	99.44 157	99.01 13	99.87 6	99.80 64	98.97 19	99.91 72	99.44 16	99.92 12	99.83 23

Regformer-4		99.59 2	99.54 4	99.73 45	99.76 42	99.41 71	99.58 91	99.49 104	99.02 10	99.88 3	99.80 64	99.00 17	99.94 40	99.45 15	99.92 12	99.84 12

Regformer-1		99.53 9	99.47 8	99.72 47	99.71 72	99.44 68	99.49 133	99.46 138	98.95 24	99.83 11	99.76 85	99.01 11	99.93 55	99.17 36	99.87 38	99.80 40

Regformer-2		99.54 7	99.47 8	99.75 38	99.71 72	99.52 59	99.49 133	99.49 104	98.94 26	99.83 11	99.76 85	99.01 11	99.94 40	99.15 38	99.87 38	99.80 40

v7new		98.12 154	97.84 166	98.93 153	98.97 233	98.81 150	99.66 58	99.35 197	96.49 222	99.29 119	99.37 217	95.02 162	99.32 232	97.73 166	94.73 273	98.67 233

HPM-MVS++		99.39 36	99.23 45	99.87 6	99.75 48	99.84 6	99.43 155	99.51 85	98.68 47	99.27 127	99.53 168	98.64 53	99.96 19	98.44 113	99.80 69	99.79 44

test_prior4						99.56 50	98.99 273

XVS		99.53 9	99.42 11	99.87 6	99.85 23	99.83 7	99.69 44	99.68 19	98.98 19	99.37 101	99.74 95	98.81 34	99.94 40	98.79 72	99.86 48	99.84 12

v1240		97.69 223	97.32 235	98.79 193	98.85 262	98.43 190	99.48 138	99.36 193	96.11 258	99.27 127	99.36 224	93.76 224	99.24 252	94.46 280	95.23 262	98.70 212

test_prior3		99.21 54	99.05 58	99.68 50	99.67 83	99.48 63	98.96 282	99.56 48	98.34 66	99.01 182	99.52 172	98.68 50	99.83 121	97.96 145	99.74 80	99.74 59

v18		96.42 264	95.80 271	98.26 240	98.95 238	98.82 148	99.76 27	99.28 233	94.58 281	94.12 305	97.70 308	95.22 155	98.16 301	94.83 274	87.80 319	97.79 314

pm-mvs1		97.68 225	97.28 239	98.88 175	99.06 216	98.62 173	99.50 125	99.45 149	96.32 238	97.87 272	99.79 72	92.47 252	99.35 225	97.54 184	93.54 297	98.67 233

test_prior2							98.96 282		98.34 66	99.01 182	99.52 172	98.68 50		97.96 145	99.74 80

X-MVStestdata		96.55 260	95.45 281	99.87 6	99.85 23	99.83 7	99.69 44	99.68 19	98.98 19	99.37 101	64.01 345	98.81 34	99.94 40	98.79 72	99.86 48	99.84 12

test_prior				99.68 50	99.67 83	99.48 63		99.56 48					99.83 121			99.74 59

v17		96.42 264	95.81 269	98.25 244	98.94 241	98.80 155	99.76 27	99.28 233	94.57 282	94.18 304	97.71 307	95.23 154	98.16 301	94.86 272	87.73 321	97.80 309

v16		96.39 266	95.76 272	98.26 240	98.96 236	98.81 150	99.76 27	99.28 233	94.57 282	94.10 306	97.70 308	95.04 161	98.16 301	94.70 276	87.77 320	97.80 309

divwei89l23v2f112		98.06 160	97.78 173	98.91 162	98.90 251	98.77 160	99.57 97	99.35 197	96.45 229	99.24 139	99.37 217	94.92 170	99.27 244	97.50 188	94.71 277	98.68 222

v15		96.28 268	95.62 274	98.25 244	98.94 241	98.83 141	99.76 27	99.29 226	94.52 286	94.02 309	97.61 315	95.02 162	98.13 305	94.53 278	86.92 324	97.80 309

旧先验2							98.96 282		96.70 209	99.47 80			99.94 40	98.19 127

新几何2							99.01 271

新几何1				99.75 38	99.75 48	99.59 47		99.54 62	96.76 205	99.29 119	99.64 135	98.43 62	99.94 40	96.92 226	99.66 96	99.72 70

旧先验1					99.74 59	99.59 47		99.54 62			99.69 112	98.47 59			99.68 94	99.73 64

无先验							98.99 273	99.51 85	96.89 200				99.93 55	97.53 185		99.72 70

原ACMM2							98.95 286

原ACMM1				99.65 57	99.73 64	99.33 77		99.47 128	97.46 152	99.12 162	99.66 127	98.67 52	99.91 72	97.70 171	99.69 91	99.71 77

v13		96.24 271	95.58 276	98.25 244	98.98 230	98.83 141	99.75 34	99.29 226	94.35 291	93.89 314	97.60 316	95.17 157	98.11 307	94.27 290	86.86 327	97.81 307

v12		96.24 271	95.58 276	98.23 247	98.96 236	98.81 150	99.76 27	99.29 226	94.42 290	93.85 315	97.60 316	95.12 158	98.09 308	94.32 287	86.85 328	97.80 309

test222					99.75 48	99.49 62	98.91 291	99.49 104	96.42 232	99.34 111	99.65 128	98.28 72			99.69 91	99.72 70

testdata2													99.95 33	96.67 237

segment_acmp												98.96 20

testdata				99.54 75	99.75 48	98.95 123		99.51 85	97.07 188	99.43 87	99.70 106	98.87 29	99.94 40	97.76 162	99.64 99	99.72 70

testdata1							98.85 295		98.32 69

v8		97.95 184	97.63 195	98.93 153	98.95 238	98.81 150	99.80 19	99.41 169	96.03 262	99.10 167	99.42 201	94.92 170	99.30 238	96.94 224	94.08 290	98.66 244

1314		98.68 121	98.54 123	99.11 132	98.89 254	98.65 169	99.27 208	99.49 104	96.89 200	97.99 269	99.56 161	97.72 88	99.83 121	97.74 165	99.27 117	98.84 190

1121		99.09 75	98.87 84	99.75 38	99.74 59	99.60 45	99.27 208	99.48 113	96.82 204	99.25 134	99.65 128	98.38 66	99.93 55	97.53 185	99.67 95	99.73 64

LFMVS		97.90 190	97.35 229	99.54 75	99.52 120	99.01 111	99.39 173	98.24 321	97.10 187	99.65 49	99.79 72	84.79 324	99.91 72	99.28 27	98.38 170	99.69 78

v7		98.05 166	97.78 173	98.87 179	98.99 226	98.67 166	99.64 70	99.34 205	96.31 240	99.29 119	99.51 175	94.78 180	99.27 244	97.03 216	95.15 265	98.66 244

v6		98.12 154	97.84 166	98.94 150	98.94 241	98.83 141	99.66 58	99.34 205	96.49 222	99.30 115	99.37 217	94.95 166	99.34 228	97.77 161	94.74 272	98.67 233

VDD-MVS		97.73 217	97.35 229	98.88 175	99.47 133	97.12 234	99.34 191	98.85 286	98.19 76	99.67 41	99.85 26	82.98 328	99.92 63	99.49 12	98.32 172	99.60 103

v11		96.23 273	95.57 279	98.21 250	98.93 246	98.83 141	99.72 39	99.29 226	94.29 292	94.05 308	97.64 313	94.88 174	98.04 309	92.89 304	88.43 317	97.77 315

VDDNet		97.55 233	97.02 248	99.16 127	99.49 129	98.12 202	99.38 178	99.30 222	95.35 271	99.68 35	99.90 7	82.62 330	99.93 55	99.31 25	98.13 188	99.42 140

v52		97.79 206	97.50 205	98.66 205	98.80 265	98.62 173	99.87 4	99.44 157	95.87 264	99.01 182	99.46 194	94.44 201	99.33 229	96.65 240	93.96 293	98.05 296

V14		96.26 269	95.60 275	98.26 240	98.94 241	98.83 141	99.76 27	99.29 226	94.49 287	93.96 311	97.66 311	94.99 165	98.13 305	94.41 281	86.90 325	97.80 309

v10		97.85 194	97.52 201	98.86 183	98.99 226	98.67 166	99.75 34	99.41 169	95.70 267	98.98 191	99.41 204	94.75 186	99.23 253	96.01 252	94.63 280	98.67 233

V4		97.80 204	97.51 203	98.67 204	98.79 267	98.63 171	99.87 4	99.44 157	95.87 264	99.01 182	99.46 194	94.52 197	99.33 229	96.64 241	93.97 292	98.05 296

VPNet		97.84 196	97.44 217	99.01 140	99.21 185	98.94 126	99.48 138	99.57 44	98.38 64	99.28 123	99.73 98	88.89 298	99.39 214	99.19 33	93.27 299	98.71 208

MVS		97.28 249	96.55 256	99.48 88	98.78 271	98.95 123	99.27 208	99.39 179	83.53 329	98.08 264	99.54 167	96.97 104	99.87 101	94.23 291	99.16 122	99.63 99

v2v482		98.06 160	97.77 177	98.92 158	98.90 251	98.82 148	99.57 97	99.36 193	96.65 212	99.19 154	99.35 228	94.20 207	99.25 250	97.72 170	94.97 269	98.69 217

v1		98.05 166	97.76 180	98.93 153	98.92 248	98.80 155	99.57 97	99.35 197	96.39 236	99.28 123	99.36 224	94.86 175	99.32 232	97.38 198	94.72 275	98.68 222

V42		98.06 160	97.79 171	98.86 183	98.98 230	98.84 138	99.69 44	99.34 205	96.53 221	99.30 115	99.37 217	94.67 190	99.32 232	97.57 180	94.66 278	98.42 283

V9		96.25 270	95.58 276	98.26 240	98.94 241	98.83 141	99.75 34	99.29 226	94.45 289	93.96 311	97.62 314	94.94 167	98.14 304	94.40 282	86.87 326	97.81 307

SD-MVS		99.41 32	99.52 6	99.05 137	99.74 59	99.68 31	99.46 145	99.52 76	99.11 7	99.88 3	99.91 5	99.43 1	97.70 319	98.72 79	99.93 11	99.77 50

GA-MVS		97.85 194	97.47 209	99.00 142	99.38 151	97.99 205	98.57 311	99.15 251	97.04 191	98.90 200	99.30 239	89.83 290	99.38 215	96.70 235	98.33 171	99.62 101

MSLP-MVS++		99.46 21	99.47 8	99.44 97	99.60 109	99.16 94	99.41 166	99.71 13	98.98 19	99.45 83	99.78 77	99.19 4	99.54 199	99.28 27	99.84 57	99.63 99

APDe-MVS		99.66 1	99.57 1	99.92 1	99.77 39	99.89 1	99.75 34	99.56 48	99.02 10	99.88 3	99.85 26	99.18 5	99.96 19	99.22 31	99.92 12	99.90 1

APD-MVS_3200maxsize		99.48 17	99.35 22	99.85 17	99.76 42	99.83 7	99.63 72	99.54 62	98.36 65	99.79 18	99.82 44	98.86 30	99.95 33	98.62 90	99.81 67	99.78 48

ADS-MVSNet2		98.02 171	98.07 149	97.87 270	99.33 160	95.19 292	99.23 221	99.08 258	96.24 246	99.10 167	99.67 121	94.11 212	98.93 290	96.81 229	99.05 131	99.48 127

EI-MVSNet		98.67 122	98.67 107	98.68 202	99.35 156	97.97 206	99.50 125	99.38 185	96.93 198	99.20 151	99.83 37	97.87 82	99.36 222	98.38 116	97.56 208	98.71 208

Regformer		0.02 326	0.03 327	0.00 336	0.00 350	0.00 351	0.00 341	0.00 353	0.00 345	0.00 347	0.27 347	0.00 354	0.00 348	0.00 345	0.00 347	0.00 345

CVMVSNet		98.57 127	98.67 107	98.30 236	99.35 156	95.59 281	99.50 125	99.55 55	98.60 51	99.39 97	99.83 37	94.48 198	99.45 204	98.75 74	98.56 162	99.85 8

pmmvs4		98.13 152	97.90 160	98.81 190	98.61 290	98.87 134	98.99 273	99.21 245	96.44 230	99.06 177	99.58 155	95.90 134	99.11 269	97.18 209	96.11 248	98.46 282

EU-MVSNet		97.98 176	98.03 151	97.81 276	98.72 279	96.65 261	99.66 58	99.66 25	98.09 89	98.35 253	99.82 44	95.25 153	98.01 311	97.41 197	95.30 261	98.78 195

VNet		99.11 71	98.90 80	99.73 45	99.52 120	99.56 50	99.41 166	99.39 179	99.01 13	99.74 29	99.78 77	95.56 142	99.92 63	99.52 7	98.18 181	99.72 70

test-LLR		98.06 160	97.90 160	98.55 214	98.79 267	97.10 235	98.67 305	97.75 329	97.34 163	98.61 240	98.85 278	94.45 199	99.45 204	97.25 203	99.38 109	99.10 159

TESTMET0.1,1		97.55 233	97.27 241	98.40 229	98.93 246	96.53 263	98.67 305	97.61 333	96.96 195	98.64 236	99.28 242	88.63 304	99.45 204	97.30 202	99.38 109	99.21 154

test-mter		97.49 242	97.13 245	98.55 214	98.79 267	97.10 235	98.67 305	97.75 329	96.65 212	98.61 240	98.85 278	88.23 309	99.45 204	97.25 203	99.38 109	99.10 159

VPA-MVSNet		98.29 140	97.95 157	99.30 113	99.16 199	99.54 53	99.50 125	99.58 43	98.27 71	99.35 108	99.37 217	92.53 250	99.65 183	99.35 18	94.46 282	98.72 206

ACMMPR		99.49 13	99.36 19	99.86 12	99.87 15	99.79 17	99.66 58	99.67 22	98.15 80	99.67 41	99.69 112	98.95 24	99.96 19	98.69 82	99.87 38	99.84 12

testgi		97.65 230	97.50 205	98.13 255	99.36 155	96.45 266	99.42 162	99.48 113	97.76 127	97.87 272	99.45 197	91.09 278	98.81 293	94.53 278	98.52 164	99.13 158

test20.03		96.12 277	95.96 266	96.63 299	97.44 311	95.45 287	99.51 120	99.38 185	96.55 220	96.16 295	99.25 246	93.76 224	96.17 327	87.35 323	94.22 287	98.27 290

thres600view7		97.86 193	97.51 203	98.92 158	99.72 67	97.95 209	99.59 85	98.74 298	97.94 109	99.27 127	98.62 289	91.75 266	99.86 104	93.73 295	98.19 180	98.96 180

1111		92.30 301	92.21 302	92.55 312	93.30 328	86.27 325	99.15 237	98.74 298	91.94 311	90.85 325	97.82 305	84.18 325	95.21 329	79.65 332	94.27 286	96.19 325

.test1245		83.42 309	86.17 307	75.15 331	93.30 328	86.27 325	99.15 237	98.74 298	91.94 311	90.85 325	97.82 305	84.18 325	95.21 329	79.65 332	39.90 343	43.98 342

ADS-MVSNet		98.20 146	98.08 147	98.56 212	99.33 160	96.48 265	99.23 221	99.15 251	96.24 246	99.10 167	99.67 121	94.11 212	99.71 168	96.81 229	99.05 131	99.48 127

MP-MVS		99.33 41	99.15 50	99.87 6	99.88 11	99.82 11	99.66 58	99.46 138	98.09 89	99.48 79	99.74 95	98.29 71	99.96 19	97.93 148	99.87 38	99.82 31

testmvs		39.17 321	43.78 320	25.37 335	36.04 349	16.84 350	98.36 317	26.56 350	20.06 343	38.51 345	67.32 341	29.64 349	15.30 347	37.59 343	39.90 343	43.98 342

thres400		97.77 209	97.38 225	98.92 158	99.69 79	97.96 207	99.50 125	98.73 306	97.83 119	99.17 157	98.45 297	91.67 271	99.83 121	93.22 299	98.18 181	98.96 180

test123		39.01 322	42.50 322	28.53 334	39.17 348	20.91 349	98.75 301	19.17 352	19.83 344	38.57 344	66.67 342	33.16 347	15.42 346	37.50 344	29.66 345	49.26 341

thres200		97.61 231	97.28 239	98.62 206	99.64 96	98.03 203	99.26 216	98.74 298	97.68 137	99.09 171	98.32 299	91.66 273	99.81 134	92.88 305	98.22 177	98.03 299

test0.0.03 1		97.71 222	97.42 221	98.56 212	98.41 299	97.82 214	98.78 298	98.63 311	97.34 163	98.05 268	98.98 270	94.45 199	98.98 282	95.04 271	97.15 232	98.89 188

test12356		91.74 302	92.19 303	90.37 320	91.22 332	82.41 332	98.61 309	98.28 319	90.66 319	91.82 323	97.92 303	84.90 323	92.61 335	81.64 331	94.66 278	96.09 326

testus		94.61 291	95.30 284	92.54 313	96.44 318	84.18 329	98.36 317	99.03 266	94.18 293	96.49 291	98.57 294	88.74 299	95.09 331	87.41 322	98.45 167	98.36 289

pmmvs3		94.09 296	93.25 298	96.60 300	94.76 325	94.49 300	98.92 289	98.18 324	89.66 320	96.48 292	98.06 302	86.28 317	97.33 321	89.68 315	87.20 323	97.97 302

testmv		87.91 305	87.80 306	88.24 321	87.68 339	77.50 339	99.07 252	97.66 332	89.27 321	86.47 329	96.22 327	68.35 335	92.49 337	76.63 336	88.82 316	94.72 329

EMVS		80.02 313	79.22 314	82.43 329	91.19 333	76.40 340	97.55 332	92.49 349	66.36 340	83.01 333	91.27 334	64.63 338	85.79 343	65.82 341	60.65 338	85.08 339

E-PMN		80.61 312	79.88 313	82.81 327	90.75 334	76.38 341	97.69 329	95.76 339	66.44 339	83.52 331	92.25 333	62.54 340	87.16 342	68.53 340	61.40 337	84.89 340

test2356		94.07 297	94.46 292	92.89 311	95.18 323	86.13 327	97.60 331	99.06 263	93.61 300	96.15 297	98.28 300	85.60 321	93.95 333	86.68 326	98.00 193	98.59 270

test1235678		92.91 300	93.30 297	91.71 317	93.14 330	83.01 331	98.75 301	98.58 314	92.80 308	92.45 320	97.91 304	88.51 306	93.54 334	82.26 330	95.35 260	98.59 270

PGM-MVS		99.45 22	99.31 31	99.86 12	99.87 15	99.78 21	99.58 91	99.65 30	97.84 118	99.71 30	99.80 64	99.12 7	99.97 11	98.33 121	99.87 38	99.83 23

LCM-MVSNet-Re		97.83 198	98.15 140	96.87 296	99.30 169	92.25 318	99.59 85	98.26 320	97.43 156	96.20 294	99.13 255	96.27 124	98.73 295	98.17 129	98.99 135	99.64 95

LCM-MVSNet		86.80 307	85.22 310	91.53 318	87.81 338	80.96 335	98.23 324	98.99 269	71.05 335	90.13 327	96.51 326	48.45 344	96.88 324	90.51 311	85.30 331	96.76 322

MCST-MVS		99.43 27	99.30 33	99.82 24	99.79 34	99.74 25	99.29 202	99.40 176	98.79 40	99.52 72	99.62 144	98.91 27	99.90 84	98.64 87	99.75 78	99.82 31

mvs_anonymous		99.03 84	98.99 68	99.16 127	99.38 151	98.52 183	99.51 120	99.38 185	97.79 124	99.38 99	99.81 53	97.30 97	99.45 204	99.35 18	98.99 135	99.51 121

MVS_Test		99.10 74	98.97 71	99.48 88	99.49 129	99.14 98	99.67 55	99.34 205	97.31 166	99.58 62	99.76 85	97.65 89	99.82 130	98.87 61	99.07 130	99.46 134

MDA-MVSNet-bldmvs		94.96 289	93.98 294	97.92 267	98.24 302	97.27 228	99.15 237	99.33 213	93.80 298	80.09 336	99.03 265	88.31 308	97.86 315	93.49 297	94.36 284	98.62 257

CDPH-MVS		99.13 62	98.91 79	99.80 29	99.75 48	99.71 27	99.15 237	99.41 169	96.60 217	99.60 58	99.55 164	98.83 32	99.90 84	97.48 190	99.83 62	99.78 48

test12				99.75 38	99.64 96	99.61 43		99.29 226		99.21 148		98.38 66	99.89 92		99.74 80	99.74 59

diffmvs		98.72 118	98.49 124	99.43 100	99.48 132	99.19 91	99.62 75	99.42 166	95.58 269	99.37 101	99.67 121	96.14 127	99.74 150	98.14 131	98.96 138	99.37 144

YYNet1		95.36 286	94.51 291	97.92 267	97.89 305	97.10 235	99.10 249	99.23 243	93.26 305	80.77 334	99.04 264	92.81 238	98.02 310	94.30 288	94.18 288	98.64 249

PMMVS2		86.87 306	85.37 309	91.35 319	90.21 335	83.80 330	98.89 292	97.45 334	83.13 330	91.67 324	95.03 328	48.49 343	94.70 332	85.86 327	77.62 334	95.54 327

MDA-MVSNet_test_wron		95.45 284	94.60 289	98.01 261	98.16 303	97.21 233	99.11 247	99.24 242	93.49 302	80.73 335	98.98 270	93.02 232	98.18 299	94.22 292	94.45 283	98.64 249

tpmvs		97.98 176	98.02 152	97.84 273	99.04 220	94.73 299	99.31 196	99.20 246	96.10 261	98.76 216	99.42 201	94.94 167	99.81 134	96.97 221	98.45 167	98.97 178

PM-MVS		92.96 299	92.23 301	95.14 305	95.61 320	89.98 323	99.37 180	98.21 322	94.80 277	95.04 302	97.69 310	65.06 337	97.90 314	94.30 288	89.98 314	97.54 321

HQP_MVS		98.27 142	98.22 139	98.44 226	99.29 172	96.97 248	99.39 173	99.47 128	98.97 22	99.11 164	99.61 147	92.71 243	99.69 177	97.78 159	97.63 201	98.67 233

plane_prior7					99.29 172	97.03 243

plane_prior6					99.27 177	96.98 247						92.71 243

plane_prior5								99.47 128					99.69 177	97.78 159	97.63 201	98.67 233

plane_prior4											99.61 147

plane_prior3						97.00 245			98.69 46	99.11 164

plane_prior2							99.39 173		98.97 22

plane_prior1					99.26 179

plane_prior						96.97 248	99.21 228		98.45 59						97.60 204

PS-CasMVS		97.93 185	97.59 198	98.95 149	98.99 226	99.06 105	99.68 53	99.52 76	97.13 181	98.31 255	99.68 117	92.44 256	99.05 274	98.51 106	94.08 290	98.75 201

UniMVSNet_NR-MVSNet		98.22 143	97.97 155	98.96 147	98.92 248	98.98 115	99.48 138	99.53 72	97.76 127	98.71 220	99.46 194	96.43 120	99.22 256	98.57 97	92.87 304	98.69 217

PEN-MVS		97.76 210	97.44 217	98.72 199	98.77 274	98.54 179	99.78 22	99.51 85	97.06 190	98.29 257	99.64 135	92.63 247	98.89 291	98.09 134	93.16 300	98.72 206

TransMVSNet (Re)		97.15 252	96.58 255	98.86 183	99.12 205	98.85 137	99.49 133	98.91 280	95.48 270	97.16 284	99.80 64	93.38 228	99.11 269	94.16 293	91.73 309	98.62 257

DTE-MVSNet		97.51 239	97.19 244	98.46 222	98.63 289	98.13 201	99.84 9	99.48 113	96.68 210	97.97 270	99.67 121	92.92 235	98.56 297	96.88 228	92.60 307	98.70 212

DU-MVS		98.08 159	97.79 171	98.96 147	98.87 258	98.98 115	99.41 166	99.45 149	97.87 113	98.71 220	99.50 177	94.82 177	99.22 256	98.57 97	92.87 304	98.68 222

UniMVSNet (Re)		98.29 140	98.00 153	99.13 131	99.00 225	99.36 75	99.49 133	99.51 85	97.95 108	98.97 192	99.13 255	96.30 123	99.38 215	98.36 119	93.34 298	98.66 244

CP-MVSNet		98.09 158	97.78 173	99.01 140	98.97 233	99.24 88	99.67 55	99.46 138	97.25 171	98.48 246	99.64 135	93.79 222	99.06 273	98.63 88	94.10 289	98.74 204

WR-MVS_H		98.13 152	97.87 165	98.90 166	99.02 223	98.84 138	99.70 42	99.59 38	97.27 169	98.40 249	99.19 251	95.53 143	99.23 253	98.34 120	93.78 295	98.61 266

WR-MVS		98.06 160	97.73 184	99.06 135	98.86 261	99.25 87	99.19 231	99.35 197	97.30 167	98.66 229	99.43 199	93.94 217	99.21 260	98.58 95	94.28 285	98.71 208

NR-MVSNet		97.97 179	97.61 196	99.02 139	98.87 258	99.26 86	99.47 142	99.42 166	97.63 140	97.08 285	99.50 177	95.07 160	99.13 266	97.86 153	93.59 296	98.68 222

Baseline_NR-MVSNet		97.76 210	97.45 212	98.68 202	99.09 212	98.29 194	99.41 166	98.85 286	95.65 268	98.63 237	99.67 121	94.82 177	99.10 271	98.07 140	92.89 303	98.64 249

TranMVSNet+NR-MVSNet		97.93 185	97.66 188	98.76 197	98.78 271	98.62 173	99.65 68	99.49 104	97.76 127	98.49 245	99.60 150	94.23 206	98.97 289	98.00 143	92.90 302	98.70 212

TSAR-MVS + GP.		99.36 38	99.36 19	99.36 104	99.67 83	98.61 176	99.07 252	99.33 213	99.00 17	99.82 14	99.81 53	99.06 8	99.84 114	99.09 42	99.42 107	99.65 89

abl_6		99.44 25	99.31 31	99.83 22	99.85 23	99.75 22	99.66 58	99.59 38	98.13 82	99.82 14	99.81 53	98.60 55	99.96 19	98.46 111	99.88 34	99.79 44

n2								0.00 353

nn								0.00 353

mPP-MVS		99.44 25	99.30 33	99.86 12	99.88 11	99.79 17	99.69 44	99.48 113	98.12 84	99.50 75	99.75 90	98.78 37	99.97 11	98.57 97	99.89 32	99.83 23

door-mid								98.05 325

DI_MVS_plusplus_test		97.45 243	96.79 252	99.44 97	97.76 308	99.04 107	99.21 228	98.61 313	97.74 130	94.01 310	98.83 280	87.38 315	99.83 121	98.63 88	98.90 145	99.44 137

XVG-OURS-SEG-HR		98.69 120	98.62 115	98.89 168	99.71 72	97.74 221	99.12 241	99.54 62	98.44 62	99.42 90	99.71 103	94.20 207	99.92 63	98.54 105	98.90 145	99.00 174

DWT-MVSNet_test		97.53 235	97.40 223	97.93 266	99.03 222	94.86 296	99.57 97	98.63 311	96.59 219	98.36 252	98.79 283	89.32 294	99.74 150	98.14 131	98.16 187	99.20 155

MVSFormer		99.17 58	99.12 53	99.29 116	99.51 122	98.94 126	99.88 1	99.46 138	97.55 146	99.80 16	99.65 128	97.39 93	99.28 241	99.03 46	99.85 52	99.65 89

jason		99.13 62	99.03 63	99.45 94	99.46 134	98.87 134	99.12 241	99.26 239	98.03 101	99.79 18	99.65 128	97.02 103	99.85 109	99.02 48	99.90 24	99.65 89
jason: jason.
lupinMVS		99.13 62	99.01 67	99.46 93	99.51 122	98.94 126	99.05 258	99.16 250	97.86 114	99.80 16	99.56 161	97.39 93	99.86 104	98.94 54	99.85 52	99.58 109

test_djsdf		98.67 122	98.57 121	98.98 144	98.70 282	98.91 131	99.88 1	99.46 138	97.55 146	99.22 146	99.88 14	95.73 140	99.28 241	99.03 46	97.62 203	98.75 201

Test4		95.05 288	93.67 296	99.22 124	96.07 319	98.94 126	99.20 230	99.27 238	97.71 133	89.96 328	97.59 318	66.18 336	99.25 250	98.06 141	98.96 138	99.47 131

HPM-MVS_fast		99.51 12	99.40 14	99.85 17	99.91 1	99.79 17	99.76 27	99.56 48	97.72 132	99.76 27	99.75 90	99.13 6	99.92 63	99.07 44	99.92 12	99.85 8

PatchFormer-LS_test		98.01 174	98.05 150	97.87 270	99.15 202	94.76 298	99.42 162	98.93 275	97.12 183	98.84 209	98.59 293	93.74 226	99.80 138	98.55 103	98.17 186	99.06 169

testpf		95.66 282	96.02 265	94.58 306	98.35 300	92.32 317	97.25 333	97.91 328	92.83 307	97.03 287	98.99 267	88.69 301	98.61 296	95.72 257	97.40 222	92.80 331

K. test v3		97.10 254	96.79 252	98.01 261	98.72 279	96.33 270	99.87 4	97.05 336	97.59 141	96.16 295	99.80 64	88.71 300	99.04 275	96.69 236	96.55 240	98.65 247

lessismore_v0				97.79 277	98.69 283	95.44 288		94.75 340		95.71 299	99.87 19	88.69 301	99.32 232	95.89 253	94.93 271	98.62 257

SixPastTwentyTwo		97.50 240	97.33 234	98.03 258	98.65 287	96.23 273	99.77 24	98.68 309	97.14 180	97.90 271	99.93 4	90.45 283	99.18 262	97.00 218	96.43 242	98.67 233

OurMVSNet-221017-0		97.88 191	97.77 177	98.19 252	98.71 281	96.53 263	99.88 1	99.00 268	97.79 124	98.78 214	99.94 3	91.68 270	99.35 225	97.21 205	96.99 234	98.69 217

HPM-MVS		99.42 29	99.28 38	99.83 22	99.90 3	99.72 26	99.81 15	99.54 62	97.59 141	99.68 35	99.63 139	98.91 27	99.94 40	98.58 95	99.91 17	99.84 12

XVG-OURS		98.73 117	98.68 106	98.88 175	99.70 77	97.73 222	98.92 289	99.55 55	98.52 55	99.45 83	99.84 35	95.27 150	99.91 72	98.08 138	98.84 149	99.00 174

XVG-ACMP-BASELINE		97.83 198	97.71 186	98.20 251	99.11 207	96.33 270	99.41 166	99.52 76	98.06 97	99.05 178	99.50 177	89.64 292	99.73 158	97.73 166	97.38 224	98.53 276

LPG-MVS_test		98.22 143	98.13 142	98.49 217	99.33 160	97.05 241	99.58 91	99.55 55	97.46 152	99.24 139	99.83 37	92.58 248	99.72 162	98.09 134	97.51 211	98.68 222

LGP-MVS_train				98.49 217	99.33 160	97.05 241		99.55 55	97.46 152	99.24 139	99.83 37	92.58 248	99.72 162	98.09 134	97.51 211	98.68 222

test11								99.35 197

door								97.92 326

EPNet_dtu		98.03 169	97.96 156	98.23 247	98.27 301	95.54 284	99.23 221	98.75 295	99.02 10	97.82 274	99.71 103	96.11 128	99.48 201	93.04 303	99.65 98	99.69 78
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CHOSEN 1792x2688		99.19 55	99.10 55	99.45 94	99.89 8	98.52 183	99.39 173	99.94 1	98.73 44	99.11 164	99.89 10	95.50 144	99.94 40	99.50 8	99.97 3	99.89 2

EPNet		98.86 100	98.71 103	99.30 113	97.20 317	98.18 198	99.62 75	98.91 280	99.28 2	98.63 237	99.81 53	95.96 129	99.99 1	99.24 30	99.72 84	99.73 64
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS						96.83 253

HQP-NCC					99.19 189		98.98 277		98.24 72	98.66 229

ACMP_Plane					99.19 189		98.98 277		98.24 72	98.66 229

APD-MVS		99.27 49	99.08 56	99.84 21	99.75 48	99.79 17	99.50 125	99.50 99	97.16 179	99.77 23	99.82 44	98.78 37	99.94 40	97.56 182	99.86 48	99.80 40
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
BP-MVS														97.19 207

HQP4-MVS										98.66 229			99.64 185			98.64 249

HQP3-MVS								99.39 179							97.58 206

HQP2-MVS												92.47 252

LP		97.04 255	96.80 251	97.77 278	98.90 251	95.23 290	98.97 280	99.06 263	94.02 294	98.09 263	99.41 204	93.88 219	98.82 292	90.46 312	98.42 169	99.26 152

CNVR-MVS		99.42 29	99.30 33	99.78 33	99.62 103	99.71 27	99.26 216	99.52 76	98.82 35	99.39 97	99.71 103	98.96 20	99.85 109	98.59 94	99.80 69	99.77 50

NCCC		99.34 40	99.19 47	99.79 32	99.61 107	99.65 38	99.30 198	99.48 113	98.86 31	99.21 148	99.63 139	98.72 48	99.90 84	98.25 125	99.63 101	99.80 40

114514_t		98.93 94	98.67 107	99.72 47	99.85 23	99.53 56	99.62 75	99.59 38	92.65 309	99.71 30	99.78 77	98.06 79	99.90 84	98.84 66	99.91 17	99.74 59

CP-MVS		99.45 22	99.32 26	99.85 17	99.83 28	99.75 22	99.69 44	99.52 76	98.07 93	99.53 70	99.63 139	98.93 26	99.97 11	98.74 75	99.91 17	99.83 23

DSMNet-mixed		97.25 250	97.35 229	96.95 294	97.84 306	93.61 311	99.57 97	96.63 337	96.13 257	98.87 203	98.61 292	94.59 193	97.70 319	95.08 270	98.86 148	99.55 111

tpm2		97.44 244	97.34 232	97.74 280	99.15 202	94.36 302	99.45 146	98.94 274	93.45 304	98.90 200	99.44 198	91.35 276	99.59 195	97.31 201	98.07 191	99.29 150

NP-MVS					99.23 182	96.92 251					99.40 208

EG-PatchMatch MVS		95.97 279	95.69 273	96.81 297	97.78 307	92.79 315	99.16 234	98.93 275	96.16 253	94.08 307	99.22 249	82.72 329	99.47 202	95.67 260	97.50 213	98.17 293

tpm cat1		97.39 246	97.36 227	97.50 286	99.17 197	93.73 307	99.43 155	99.31 220	91.27 315	98.71 220	99.08 259	94.31 205	99.77 145	96.41 246	98.50 165	99.00 174

SteuartSystems-ACMMP		99.54 7	99.42 11	99.87 6	99.82 29	99.81 12	99.59 85	99.51 85	98.62 49	99.79 18	99.83 37	99.28 3	99.97 11	98.48 108	99.90 24	99.84 12
Skip Steuart: Steuart Systems R&D Blog.
tpmp4_e23		97.34 247	97.29 238	97.52 284	99.25 181	93.73 307	99.58 91	99.19 249	94.00 295	98.20 259	99.41 204	90.74 282	99.74 150	97.13 211	98.07 191	99.07 168

CostFormer		97.72 219	97.73 184	97.71 281	99.15 202	94.02 305	99.54 112	99.02 267	94.67 279	99.04 179	99.35 228	92.35 257	99.77 145	98.50 107	97.94 195	99.34 147

CR-MVSNet		98.17 148	97.93 159	98.87 179	99.18 192	98.49 186	99.22 225	99.33 213	96.96 195	99.56 66	99.38 213	94.33 203	99.00 280	94.83 274	98.58 159	99.14 156

JIA-IIPM		97.50 240	97.02 248	98.93 153	98.73 277	97.80 219	99.30 198	98.97 271	91.73 314	98.91 198	94.86 330	95.10 159	99.71 168	97.58 178	97.98 194	99.28 151

Patchmtry		97.75 214	97.40 223	98.81 190	99.10 210	98.87 134	99.11 247	99.33 213	94.83 276	98.81 211	99.38 213	94.33 203	99.02 278	96.10 249	95.57 257	98.53 276

PatchT		97.03 256	96.44 257	98.79 193	98.99 226	98.34 193	99.16 234	99.07 261	92.13 310	99.52 72	97.31 323	94.54 196	98.98 282	88.54 318	98.73 155	99.03 171

tpmrst		98.33 138	98.48 125	97.90 269	99.16 199	94.78 297	99.31 196	99.11 255	97.27 169	99.45 83	99.59 152	95.33 147	99.84 114	98.48 108	98.61 156	99.09 163

BH-w/o		98.00 175	97.89 164	98.32 234	99.35 156	96.20 274	99.01 271	98.90 282	96.42 232	98.38 250	99.00 266	95.26 152	99.72 162	96.06 250	98.61 156	99.03 171

tpm		97.67 228	97.55 199	98.03 258	99.02 223	95.01 295	99.43 155	98.54 316	96.44 230	99.12 162	99.34 231	91.83 265	99.60 193	97.75 164	96.46 241	99.48 127

DELS-MVS		99.48 17	99.42 11	99.65 57	99.72 67	99.40 73	99.05 258	99.66 25	99.14 6	99.57 65	99.80 64	98.46 60	99.94 40	99.57 4	99.84 57	99.60 103
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
BH-untuned		98.42 133	98.36 129	98.59 208	99.49 129	96.70 258	99.27 208	99.13 254	97.24 173	98.80 212	99.38 213	95.75 139	99.74 150	97.07 215	99.16 122	99.33 148

RPMNet		96.61 259	95.85 267	98.87 179	99.18 192	98.49 186	99.22 225	99.08 258	88.72 325	99.56 66	97.38 321	94.08 214	99.00 280	86.87 325	98.58 159	99.14 156

no-one		83.04 310	80.12 312	91.79 316	89.44 337	85.65 328	99.32 193	98.32 318	89.06 322	79.79 338	89.16 338	44.86 345	96.67 325	84.33 329	46.78 341	93.05 330

MVSTER		98.49 128	98.32 133	99.00 142	99.35 156	99.02 109	99.54 112	99.38 185	97.41 159	99.20 151	99.73 98	93.86 221	99.36 222	98.87 61	97.56 208	98.62 257

CPTT-MVS		99.11 71	98.90 80	99.74 43	99.80 33	99.46 66	99.59 85	99.49 104	97.03 192	99.63 51	99.69 112	97.27 98	99.96 19	97.82 156	99.84 57	99.81 35

GBi-Net		97.68 225	97.48 207	98.29 237	99.51 122	97.26 229	99.43 155	99.48 113	96.49 222	99.07 173	99.32 236	90.26 285	98.98 282	97.10 212	96.65 236	98.62 257

PVSNet_Blended_VisFu		99.36 38	99.28 38	99.61 66	99.86 20	99.07 104	99.47 142	99.93 2	97.66 139	99.71 30	99.86 22	97.73 87	99.96 19	99.47 13	99.82 66	99.79 44

PVSNet_BlendedMVS		98.86 100	98.80 94	99.03 138	99.76 42	98.79 157	99.28 205	99.91 3	97.42 158	99.67 41	99.37 217	97.53 90	99.88 99	98.98 51	97.29 227	98.42 283

UnsupCasMVSNet_eth		96.44 262	96.12 261	97.40 288	98.65 287	95.65 279	99.36 184	99.51 85	97.13 181	96.04 298	98.99 267	88.40 307	98.17 300	96.71 234	90.27 312	98.40 285

UnsupCasMVSNet_bld		93.53 298	92.51 300	96.58 301	97.38 312	93.82 306	98.24 322	99.48 113	91.10 317	93.10 318	96.66 325	74.89 332	98.37 298	94.03 294	87.71 322	97.56 320

PVSNet_Blended		99.08 77	98.97 71	99.42 101	99.76 42	98.79 157	98.78 298	99.91 3	96.74 206	99.67 41	99.49 180	97.53 90	99.88 99	98.98 51	99.85 52	99.60 103

FMVSNet5		96.43 263	96.19 260	97.15 289	99.11 207	95.89 278	99.32 193	99.52 76	94.47 288	98.34 254	99.07 260	87.54 313	97.07 322	92.61 307	95.72 254	98.47 280

test1		97.68 225	97.48 207	98.29 237	99.51 122	97.26 229	99.43 155	99.48 113	96.49 222	99.07 173	99.32 236	90.26 285	98.98 282	97.10 212	96.65 236	98.62 257

new_pmnet		96.38 267	96.03 263	97.41 287	98.13 304	95.16 294	99.05 258	99.20 246	93.94 296	97.39 280	98.79 283	91.61 274	99.04 275	90.43 313	95.77 253	98.05 296

FMVSNet3		98.03 169	97.76 180	98.84 187	99.39 150	98.98 115	99.40 172	99.38 185	96.67 211	99.07 173	99.28 242	92.93 234	98.98 282	97.10 212	96.65 236	98.56 275

dp		97.75 214	97.80 170	97.59 283	99.10 210	93.71 309	99.32 193	98.88 284	96.48 228	99.08 172	99.55 164	92.67 246	99.82 130	96.52 242	98.58 159	99.24 153

FMVSNet2		97.72 219	97.36 227	98.80 192	99.51 122	98.84 138	99.45 146	99.42 166	96.49 222	98.86 208	99.29 241	90.26 285	98.98 282	96.44 244	96.56 239	98.58 273

FMVSNet1		96.84 257	96.36 258	98.29 237	99.32 167	97.26 229	99.43 155	99.48 113	95.11 273	98.55 242	99.32 236	83.95 327	98.98 282	95.81 255	96.26 246	98.62 257

N_pmnet		94.95 290	95.83 268	92.31 314	98.47 297	79.33 337	99.12 241	92.81 347	93.87 297	97.68 277	99.13 255	93.87 220	99.01 279	91.38 310	96.19 247	98.59 270

cascas		97.69 223	97.43 220	98.48 219	98.60 291	97.30 226	98.18 325	99.39 179	92.96 306	98.41 248	98.78 285	93.77 223	99.27 244	98.16 130	98.61 156	98.86 189

BH-RMVSNet		98.41 134	98.08 147	99.40 102	99.41 143	98.83 141	99.30 198	98.77 294	97.70 135	98.94 195	99.65 128	92.91 237	99.74 150	96.52 242	99.55 103	99.64 95

UGNet		98.87 97	98.69 105	99.40 102	99.22 184	98.72 163	99.44 150	99.68 19	99.24 3	99.18 156	99.42 201	92.74 241	99.96 19	99.34 22	99.94 10	99.53 117
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
WTY-MVS		99.06 79	98.88 83	99.61 66	99.62 103	99.16 94	99.37 180	99.56 48	98.04 99	99.53 70	99.62 144	96.84 107	99.94 40	98.85 65	98.49 166	99.72 70

XXY-MVS		98.38 136	98.09 146	99.24 121	99.26 179	99.32 78	99.56 104	99.55 55	97.45 155	98.71 220	99.83 37	93.23 230	99.63 190	98.88 57	96.32 245	98.76 200

sss		99.17 58	99.05 58	99.53 79	99.62 103	98.97 118	99.36 184	99.62 31	97.83 119	99.67 41	99.65 128	97.37 96	99.95 33	99.19 33	99.19 121	99.68 82

Test_1112_low_res		98.89 96	98.66 110	99.57 72	99.69 79	98.95 123	99.03 264	99.47 128	96.98 194	99.15 159	99.23 248	96.77 111	99.89 92	98.83 68	98.78 153	99.86 5

1112_ss		98.98 90	98.77 97	99.59 68	99.68 82	99.02 109	99.25 218	99.48 113	97.23 174	99.13 160	99.58 155	96.93 106	99.90 84	98.87 61	98.78 153	99.84 12

ab-mvs-re		8.30 324	11.06 325	0.00 336	0.00 350	0.00 351	0.00 341	0.00 353	0.00 345	0.00 347	99.58 155	0.00 354	0.00 348	0.00 345	0.00 347	0.00 345

ab-mvs		98.86 100	98.63 112	99.54 75	99.64 96	99.19 91	99.44 150	99.54 62	97.77 126	99.30 115	99.81 53	94.20 207	99.93 55	99.17 36	98.82 150	99.49 125

TR-MVS		97.76 210	97.41 222	98.82 189	99.06 216	97.87 211	98.87 294	98.56 315	96.63 214	98.68 228	99.22 249	92.49 251	99.65 183	95.40 265	97.79 198	98.95 187

MDTV_nov1_ep13_2view						95.18 293	99.35 188		96.84 203	99.58 62		95.19 156		97.82 156		99.46 134

MDTV_nov1_ep13			98.32 133		99.11 207	94.44 301	99.27 208	98.74 298	97.51 150	99.40 96	99.62 144	94.78 180	99.76 148	97.59 177	98.81 152

MIMVSNet1		95.51 283	95.04 286	96.92 295	97.38 312	95.60 280	99.52 116	99.50 99	93.65 299	96.97 289	99.17 252	85.28 322	96.56 326	88.36 319	95.55 258	98.60 269

MIMVSNet		97.73 217	97.45 212	98.57 210	99.45 138	97.50 225	99.02 267	98.98 270	96.11 258	99.41 92	99.14 254	90.28 284	98.74 294	95.74 256	98.93 141	99.47 131

IterMVS-LS		98.46 130	98.42 127	98.58 209	99.59 111	98.00 204	99.37 180	99.43 165	96.94 197	99.07 173	99.59 152	97.87 82	99.03 277	98.32 123	95.62 256	98.71 208
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CDS-MVSNet		99.09 75	99.03 63	99.25 119	99.42 140	98.73 162	99.45 146	99.46 138	98.11 86	99.46 82	99.77 82	98.01 80	99.37 218	98.70 80	98.92 143	99.66 86
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
ACMMP++_ref															97.19 230

IterMVS		97.83 198	97.77 177	98.02 260	99.58 112	96.27 272	99.02 267	99.48 113	97.22 175	98.71 220	99.70 106	92.75 239	99.13 266	97.46 193	96.00 250	98.67 233
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DP-MVS Recon		99.12 67	98.95 75	99.65 57	99.74 59	99.70 29	99.27 208	99.57 44	96.40 235	99.42 90	99.68 117	98.75 45	99.80 138	97.98 144	99.72 84	99.44 137

MVS_111021_LR		99.41 32	99.33 25	99.65 57	99.77 39	99.51 61	98.94 288	99.85 6	98.82 35	99.65 49	99.74 95	98.51 57	99.80 138	98.83 68	99.89 32	99.64 95

DP-MVS		99.16 60	98.95 75	99.78 33	99.77 39	99.53 56	99.41 166	99.50 99	97.03 192	99.04 179	99.88 14	97.39 93	99.92 63	98.66 85	99.90 24	99.87 4

ACMMP++															97.43 221

HQP-MVS		98.02 171	97.90 160	98.37 231	99.19 189	96.83 253	98.98 277	99.39 179	98.24 72	98.66 229	99.40 208	92.47 252	99.64 185	97.19 207	97.58 206	98.64 249

QAPM		98.67 122	98.30 135	99.80 29	99.20 187	99.67 33	99.77 24	99.72 11	94.74 278	98.73 218	99.90 7	95.78 138	99.98 5	96.96 222	99.88 34	99.76 53

Vis-MVSNet		99.12 67	98.97 71	99.56 74	99.78 35	99.10 101	99.68 53	99.66 25	98.49 56	99.86 7	99.87 19	94.77 184	99.84 114	99.19 33	99.41 108	99.74 59
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS-HIRNet		95.75 281	95.16 285	97.51 285	99.30 169	93.69 310	98.88 293	95.78 338	85.09 328	98.78 214	92.65 332	91.29 277	99.37 218	94.85 273	99.85 52	99.46 134

IS-MVSNet		99.05 81	98.87 84	99.57 72	99.73 64	99.32 78	99.75 34	99.20 246	98.02 102	99.56 66	99.86 22	96.54 117	99.67 179	98.09 134	99.13 124	99.73 64

HyFIR lowres test		99.11 71	98.92 77	99.65 57	99.90 3	99.37 74	99.02 267	99.91 3	97.67 138	99.59 61	99.75 90	95.90 134	99.73 158	99.53 6	99.02 133	99.86 5

EPMVS		97.82 201	97.65 193	98.35 232	98.88 255	95.98 276	99.49 133	94.71 341	97.57 144	99.26 131	99.48 186	92.46 255	99.71 168	97.87 152	99.08 129	99.35 146

PAPM_NR		99.04 82	98.84 90	99.66 53	99.74 59	99.44 68	99.39 173	99.38 185	97.70 135	99.28 123	99.28 242	98.34 69	99.85 109	96.96 222	99.45 105	99.69 78

TAMVS		99.12 67	99.08 56	99.24 121	99.46 134	98.55 178	99.51 120	99.46 138	98.09 89	99.45 83	99.82 44	98.34 69	99.51 200	98.70 80	98.93 141	99.67 85

PAPR		98.63 126	98.34 131	99.51 85	99.40 148	99.03 108	98.80 297	99.36 193	96.33 237	99.00 189	99.12 258	98.46 60	99.84 114	95.23 268	99.37 113	99.66 86

RPSCF		98.22 143	98.62 115	96.99 292	99.82 29	91.58 320	99.72 39	99.44 157	96.61 215	99.66 46	99.89 10	95.92 133	99.82 130	97.46 193	99.10 127	99.57 110

Vis-MVSNet (Re-imp)		98.87 97	98.72 101	99.31 110	99.71 72	98.88 133	99.80 19	99.44 157	97.91 112	99.36 105	99.78 77	95.49 145	99.43 213	97.91 149	99.11 125	99.62 101

test_0402		96.64 258	96.24 259	97.85 272	98.85 262	96.43 267	99.44 150	99.26 239	93.52 301	96.98 288	99.52 172	88.52 305	99.20 261	92.58 308	97.50 213	97.93 304

MVS_111021_HR		99.41 32	99.32 26	99.66 53	99.72 67	99.47 65	98.95 286	99.85 6	98.82 35	99.54 69	99.73 98	98.51 57	99.74 150	98.91 56	99.88 34	99.77 50

CSCG		99.32 42	99.32 26	99.32 109	99.85 23	98.29 194	99.71 41	99.66 25	98.11 86	99.41 92	99.80 64	98.37 68	99.96 19	98.99 50	99.96 5	99.72 70

PatchMatch-RL		98.84 108	98.62 115	99.52 83	99.71 72	99.28 83	99.06 256	99.77 9	97.74 130	99.50 75	99.53 168	95.41 146	99.84 114	97.17 210	99.64 99	99.44 137

API-MVS		99.04 82	99.03 63	99.06 135	99.40 148	99.31 81	99.55 109	99.56 48	98.54 53	99.33 112	99.39 212	98.76 42	99.78 143	96.98 220	99.78 73	98.07 295

Test By Simon												98.75 45

TDRefinement		95.42 285	94.57 290	97.97 264	89.83 336	96.11 275	99.48 138	98.75 295	96.74 206	96.68 290	99.88 14	88.65 303	99.71 168	98.37 117	82.74 332	98.09 294

USDC		97.34 247	97.20 243	97.75 279	99.07 214	95.20 291	98.51 314	99.04 265	97.99 107	98.31 255	99.86 22	89.02 296	99.55 198	95.67 260	97.36 225	98.49 278

EPP-MVSNet		99.13 62	98.99 68	99.53 79	99.65 95	99.06 105	99.81 15	99.33 213	97.43 156	99.60 58	99.88 14	97.14 100	99.84 114	99.13 39	98.94 140	99.69 78

PMMVS		98.80 112	98.62 115	99.34 105	99.27 177	98.70 164	98.76 300	99.31 220	97.34 163	99.21 148	99.07 260	97.20 99	99.82 130	98.56 100	98.87 147	99.52 118

PAPM		97.59 232	97.09 246	99.07 134	99.06 216	98.26 196	98.30 321	99.10 256	94.88 275	98.08 264	99.34 231	96.27 124	99.64 185	89.87 314	98.92 143	99.31 149

ACMMP		99.45 22	99.32 26	99.82 24	99.89 8	99.67 33	99.62 75	99.69 18	98.12 84	99.63 51	99.84 35	98.73 47	99.96 19	98.55 103	99.83 62	99.81 35
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		99.14 61	98.99 68	99.59 68	99.58 112	99.41 71	99.16 234	99.44 157	98.45 59	99.19 154	99.49 180	98.08 78	99.89 92	97.73 166	99.75 78	99.48 127

PatchmatchNet		98.31 139	98.36 129	98.19 252	99.16 199	95.32 289	99.27 208	98.92 277	97.37 162	99.37 101	99.58 155	94.90 172	99.70 174	97.43 196	99.21 119	99.54 113
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PHI-MVS		99.30 44	99.17 49	99.70 49	99.56 117	99.52 59	99.58 91	99.80 8	97.12 183	99.62 54	99.73 98	98.58 56	99.90 84	98.61 92	99.91 17	99.68 82

F-COLMAP		99.19 55	99.04 61	99.64 62	99.78 35	99.27 85	99.42 162	99.54 62	97.29 168	99.41 92	99.59 152	98.42 65	99.93 55	98.19 127	99.69 91	99.73 64

ANet_high		77.30 315	74.86 317	84.62 325	75.88 345	77.61 338	97.63 330	93.15 346	88.81 324	64.27 341	89.29 337	36.51 346	83.93 344	75.89 337	52.31 340	92.33 334

PNet_i23d		79.43 314	77.68 315	84.67 324	86.18 341	71.69 344	96.50 335	93.68 343	75.17 333	71.33 339	91.18 335	32.18 348	90.62 339	78.57 335	74.34 335	91.71 335

wuyk23d		40.18 320	41.29 323	36.84 332	86.18 341	49.12 348	79.73 340	22.81 351	27.64 342	25.46 346	28.45 346	21.98 350	48.89 345	55.80 342	23.56 346	12.51 344

OMC-MVS		99.08 77	99.04 61	99.20 125	99.67 83	98.22 197	99.28 205	99.52 76	98.07 93	99.66 46	99.81 53	97.79 85	99.78 143	97.79 158	99.81 67	99.60 103

MG-MVS		99.13 62	99.02 66	99.45 94	99.57 114	98.63 171	99.07 252	99.34 205	98.99 18	99.61 56	99.82 44	97.98 81	99.87 101	97.00 218	99.80 69	99.85 8

wuykxyi23d		74.42 318	71.19 319	84.14 326	76.16 344	74.29 343	96.00 336	92.57 348	69.57 336	63.84 342	87.49 340	21.98 350	88.86 340	75.56 338	57.50 339	89.26 338

AdaColmap		99.01 88	98.80 94	99.66 53	99.56 117	99.54 53	99.18 232	99.70 15	98.18 79	99.35 108	99.63 139	96.32 122	99.90 84	97.48 190	99.77 75	99.55 111

uanet		0.02 326	0.03 327	0.00 336	0.00 350	0.00 351	0.00 341	0.00 353	0.00 345	0.00 347	0.27 347	0.00 354	0.00 348	0.00 345	0.00 347	0.00 345

ITE_SJBPF				98.08 256	99.29 172	96.37 268		98.92 277	98.34 66	98.83 210	99.75 90	91.09 278	99.62 191	95.82 254	97.40 222	98.25 292

DeepMVS_CX				93.34 309	99.29 172	82.27 334		99.22 244	85.15 327	96.33 293	99.05 263	90.97 280	99.73 158	93.57 296	97.77 199	98.01 300

TinyColmap		97.12 253	96.89 250	97.83 274	99.07 214	95.52 285	98.57 311	98.74 298	97.58 143	97.81 275	99.79 72	88.16 310	99.56 196	95.10 269	97.21 229	98.39 286

MAR-MVS		98.86 100	98.63 112	99.54 75	99.37 153	99.66 35	99.45 146	99.54 62	96.61 215	99.01 182	99.40 208	97.09 101	99.86 104	97.68 174	99.53 104	99.10 159
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
LF4IMVS		97.52 236	97.46 211	97.70 282	98.98 230	95.55 282	99.29 202	98.82 289	98.07 93	98.66 229	99.64 135	89.97 289	99.61 192	97.01 217	96.68 235	97.94 303

MSDG		98.98 90	98.80 94	99.53 79	99.76 42	99.19 91	98.75 301	99.55 55	97.25 171	99.47 80	99.77 82	97.82 84	99.87 101	96.93 225	99.90 24	99.54 113

LS3D		99.27 49	99.12 53	99.74 43	99.18 192	99.75 22	99.56 104	99.57 44	98.45 59	99.49 78	99.85 26	97.77 86	99.94 40	98.33 121	99.84 57	99.52 118

CLD-MVS		98.16 150	98.10 144	98.33 233	99.29 172	96.82 255	98.75 301	99.44 157	97.83 119	99.13 160	99.55 164	92.92 235	99.67 179	98.32 123	97.69 200	98.48 279
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FPMVS		84.93 308	85.65 308	82.75 328	86.77 340	63.39 346	98.35 319	98.92 277	74.11 334	83.39 332	98.98 270	50.85 342	92.40 338	84.54 328	94.97 269	92.46 332

Gipuma		90.99 303	90.15 304	93.51 308	98.73 277	90.12 322	93.98 337	99.45 149	79.32 332	92.28 321	94.91 329	69.61 334	97.98 312	87.42 321	95.67 255	92.45 333
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015

High-resolution multi-view benchmark