3D Reconstruction On Dtu

Acc

Comp

Overall

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	Acc	Comp	Overall
transmvsnet-global-context-aware-multi-view	0.321	0.289	0.305
deep-stereo-using-adaptive-thin-volume	0.338	0.349	0.344
epp-mvsnet-epipolar-assembling-based-depth	0.413	0.296	0.355
structure-from-motion-revisited	0.400	0.664	0.532
when-epipolar-constraint-meets-non-local-1	0.329	0.253	0.291
mvsnet-depth-inference-for-unstructured-multi	0.396	0.527	0.462
3d-r2n2-a-unified-approach-for-single-and	0.397	0.884	0.630
curvature-guided-dynamic-scale-networks-for-1	0.351	0.278	0.315
massively-parallel-multiview-stereopsis-by	0.283	0.873	0.578
geomvsnet-learning-multi-view-stereo-with	0.331	0.259	0.295
gomvs-geometrically-consistent-cost	0.347	0.227	0.287
cascade-cost-volume-for-high-resolution-multi	0.325	0.385	0.355
cost-volume-pyramid-based-depth-inference-for	0.296	0.406	0.351
aa-rmvsnet-adaptive-aggregation-recurrent	0.376	0.339	0.357
visibility-aware-multi-view-stereo-network	0.369	0.361	0.365
gc-mvsnet-multi-view-multi-scale	0.330	0.260	0.295
ib-mvs-an-iterative-algorithm-for-deep-multi	0.334	0.309	0.321
multi-view-stereo-representation-revist	0.326	0.268	0.297
generalized-binary-search-network-for-highly	0.312	0.293	0.303
mvsformer-revealing-the-devil-in-transformer	0.3090	0.2521	0.2805
cost-volume-pyramid-network-with-multi	0.379	0.278	0.328
mvsformer-learning-robust-image	0.327	0.251	0.289
rethinking-depth-estimation-for-multi-view	0.352	0.278	0.315
patchmatchnet-learned-multi-view-patchmatch	0.427	0.277	0.352