Depth Completion on NYU-Depth v2 (test)
0.085RMSEDMD3C
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DMD3C2025.03 | 0.085 | 1.1 | — | — | — | — | — | 99.7 | — | — | — | — | — | — | |
| DMD3C2026.01 | 0.085 | 1.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| GBPN2026.01 | 0.085 | 1.1 | — | — | — | — | — | — | — | — | — | — | 89.1 | 95.9 | |
| DeCoTRFeature Representation=3D, Global Attention=true2024.03 | 0.086 | — | — | — | — | — | 1.2 | 99.6 | 99.9 | 100 | — | — | — | — | |
| TPVDYear=20242025.03 | 0.086 | 1 | — | — | — | — | — | 99.7 | — | — | — | — | — | — | |
| TPVD2026.01 | 0.086 | 1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeCoTRFeature Representation=3D, Global Attention=false2024.03 | 0.087 | — | — | — | — | — | 1.2 | 99.6 | 99.9 | 100 | — | — | — | — | |
| OGNI-DC2026.01 | 0.087 | 1.1 | — | — | — | — | — | — | — | — | — | — | 88.3 | 95.6 | |
| BP-Net (Pre. + MF + Post.)Pre-processing (Pre.)=true, Multi-modal fusion (MF.)=true, Post-processing (Post.)=true2024.03 | 0.0887 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PointDCFeature Representation=3D2024.03 | 0.089 | — | — | — | — | — | 1.2 | 99.6 | 99.9 | 100 | — | — | — | — | |
| BEV@DC2024.03 | 0.089 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| BP-Net2024.03 | 0.089 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| MSPNNumber of sparse depths=5002024.04 | 0.089 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| PointDCYear=20232025.03 | 0.089 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| BEV@DCYear=20232025.03 | 0.089 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| BP-NetYear=20242025.03 | 0.089 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| BEV@DC2026.01 | 0.089 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BP-Net2026.01 | 0.089 | 1.2 | — | — | — | — | — | — | — | — | — | — | 87.2 | 95.3 | |
| BP-NetArchitecture=2D-based, Sampling=Uniform sparse depth2026.03 | 0.089 | 1.2 | — | 99.6 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| BP-Net (Pre. + MF)Pre-processing (Pre.)=true, Multi-modal fusion (MF.)=true, Post-processing (Post.)=false2024.03 | 0.0896 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RigNetNumber of sparse samples=5002021.07 | 0.09 | 1.3 | — | — | — | — | — | 99.6 | 99.9 | 100 | — | — | — | — | |
| RigNetFeature Representation=2D2024.03 | 0.09 | — | — | — | — | — | 1.3 | 99.6 | 99.9 | 100 | — | — | — | — | |
| DySPNFeature Representation=2D2024.03 | 0.09 | — | — | — | — | — | 1.2 | 99.6 | 99.9 | 100 | — | — | — | — | |
| CompletionFormerFeature Representation=2D2024.03 | 0.09 | — | — | — | — | — | 1.2 | — | — | — | — | — | — | — | |
| PointFusionFeature Representation=3D2024.03 | 0.09 | — | — | — | — | — | 1.4 | 99.6 | 99.9 | 100 | — | — | — | — | |
| GraphCSPNFeature Representation=3D2024.03 | 0.09 | — | — | — | — | — | 1.2 | 99.6 | 99.9 | 100 | — | — | — | — | |
| RigNet2024.03 | 0.09 | 1.3 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| DySPN2024.03 | 0.09 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| CFormer2024.03 | 0.09 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RigNetNumber of sparse depths=5002024.04 | 0.09 | 1.3 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| DySPNNumber of sparse depths=5002024.04 | 0.09 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| Zhang et al.Number of sparse depths=5002024.04 | 0.09 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RigNetYear=20222025.03 | 0.09 | 1.3 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| DySPNYear=20222025.03 | 0.09 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| CFormerYear=20232025.03 | 0.09 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DySPN2026.01 | 0.09 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CFormer2026.01 | 0.09 | 1.2 | — | — | — | — | — | — | — | — | — | — | 87.5 | 95.3 | |
| DySPNArchitecture=2D-based, Sampling=Uniform sparse depth2026.03 | 0.09 | 1.2 | — | 99.6 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| PointFusionArchitecture=2D-3D joint, Sampling=Uniform sparse depth2026.03 | 0.09 | 1.4 | — | 99.6 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| BP-Net (MF + Post.)Pre-processing (Pre.)=false, Multi-modal fusion (MF.)=true, Post-processing (Post.)=true2024.03 | 0.09 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LRRU2024.03 | 0.091 | 1.1 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| LRRUYear=20232025.03 | 0.091 | 1.1 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| ImprovingDCYear=20242025.03 | 0.091 | 1.1 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| LRRU2026.01 | 0.091 | 1.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ImprovingDC2026.01 | 0.091 | 1.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CFormerArchitecture=2D-based, Sampling=Uniform sparse depth2026.03 | 0.091 | 1.2 | — | 99.6 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| DFUArchitecture=2D-3D joint, Sampling=Uniform sparse depth2026.03 | 0.091 | 1.1 | — | 99.6 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| BP-Net (MF only)Pre-processing (Pre.)=false, Multi-modal fusion (MF.)=true, Post-processing (Post.)=false2024.03 | 0.0917 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NLSPNSamples=5002020.10 | 0.092 | — | — | 99.6 | 99.9 | 100 | 1.2 | — | — | — | — | — | — | — | |
| NLSPN#params (M)=25.84, Iterative post-refinement=true2021.04 | 0.092 | 1.2 | — | 99.6 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| NLSPNSetting=T* => T, Sampling Pixels=5002022.03 | 0.092 | 1.2 | — | — | — | — | — | 99.6 | 99.9 | 100 | — | — | — | — | |
| NLSPNNumber of sparse samples=5002021.07 | 0.092 | 1.2 | — | — | — | — | — | 99.6 | 99.9 | 100 | — | — | — | — | |
| NLSPNFeature Representation=2D2024.03 | 0.092 | — | — | — | — | — | 1.2 | 99.6 | 99.9 | 100 | — | — | — | — | |
| NLSPN2024.03 | 0.092 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| NLSPNNumber of sparse depths=5002024.04 | 0.092 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| NLSPNYear=20202025.03 | 0.092 | 1.2 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| NLSPN2026.01 | 0.092 | 1.2 | — | — | — | — | — | — | — | — | — | — | 88 | 95.4 | |
| NLSPNArchitecture=2D-based, Sampling=Uniform sparse depth2026.03 | 0.092 | 1.2 | — | 99.6 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| ToFormerArchitecture=2D-3D joint, Sampling=Uniform sparse depth2026.03 | 0.095 | 1.3 | — | 99.5 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| CostDCNetFeature Representation=3D2024.03 | 0.096 | — | — | — | — | — | 1.3 | 99.5 | 99.9 | 100 | — | — | — | — | |
| TWISENumber of sparse samples=5002021.07 | 0.097 | 1.3 | — | — | — | — | — | 99.6 | 99.9 | 100 | — | — | — | — | |
| TWISEFeature Representation=2D2024.03 | 0.097 | — | — | — | — | — | 1.3 | 99.6 | 99.9 | 100 | — | — | — | — | |
| TWISENumber of sparse depths=5002024.04 | 0.097 | 1.3 | — | — | — | — | — | 99.6 | — | — | — | — | — | — | |
| GuideNetSamples=5002020.10 | 0.101 | — | — | 99.5 | 99.9 | 100 | 1.5 | — | — | — | — | — | — | — | |
| GuideNetNumber of sparse samples=5002021.07 | 0.101 | 1.5 | — | — | — | — | — | 99.5 | 99.9 | 100 | — | — | — | — | |
| GuideNetFeature Representation=2D2024.03 | 0.101 | — | — | — | — | — | 1.5 | 99.5 | 99.9 | 100 | — | — | — | — | |
| GuideNet2024.03 | 0.101 | 1.5 | — | — | — | — | — | 99.5 | — | — | — | — | — | — | |
| GuideNetNumber of sparse depths=5002024.04 | 0.101 | 1.5 | — | — | — | — | — | 99.5 | — | — | — | — | — | — | |
| CSPN++Year=20202025.03 | 0.101 | 1.5 | — | — | — | — | — | 99.5 | — | — | — | — | — | — | |
| GuideNet2026.01 | 0.101 | 1.5 | — | — | — | — | — | — | — | — | — | — | 82 | 93.9 | |
| GuideNetArchitecture=2D-based, Sampling=Uniform sparse depth2026.03 | 0.101 | 1.5 | — | 99.5 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| DSNSamples=5002020.10 | 0.102 | — | — | 99.4 | 99.9 | 100 | 1.2 | — | — | — | — | — | — | — | |
| RDF-GANSetting=T* => T, Sampling Pixels=5002022.03 | 0.103 | 1.6 | — | — | — | — | — | 99.4 | 99.9 | 100 | — | — | — | — | |
| Plane-Residual Representation#params (M)=14.34, Iterative post-refinement=false2021.04 | 0.104 | 1.4 | — | 99.4 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| PRRSetting=T* => T, Sampling Pixels=5002022.03 | 0.104 | 1.4 | — | — | — | — | — | 99.4 | 99.9 | 100 | — | — | — | — | |
| PRNetNumber of sparse samples=5002021.07 | 0.104 | 1.4 | — | — | — | — | — | 99.4 | 99.9 | 100 | — | — | — | — | |
| PRNetFeature Representation=3D2024.03 | 0.104 | — | — | — | — | — | 1.4 | 99.4 | 99.9 | 100 | — | — | — | — | |
| PRNetArchitecture=2D-3D joint, Sampling=Uniform sparse depth2026.03 | 0.104 | 1.4 | — | 99.4 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| ACMNetNumber of sparse samples=5002021.07 | 0.105 | 1.5 | — | — | — | — | — | 99.4 | 99.9 | 100 | — | — | — | — | |
| ACMNetFeature Representation=2D2024.03 | 0.105 | — | — | — | — | — | 1.5 | 99.4 | 99.9 | 100 | — | — | — | — | |
| ACMNet2024.03 | 0.105 | 1.5 | — | — | — | — | — | 99.4 | — | — | — | — | — | — | |
| ACMNetYear=20212025.03 | 0.105 | 1.5 | — | — | — | — | — | 99.4 | — | — | — | — | — | — | |
| ACMNet2026.01 | 0.105 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ACMNetArchitecture=2D-3D joint, Sampling=Uniform sparse depth2026.03 | 0.105 | 1.5 | — | 99.4 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| FCFRNetNumber of sparse samples=5002021.07 | 0.106 | 1.5 | — | — | — | — | — | 99.5 | 99.9 | 100 | — | — | — | — | |
| FCFR2024.03 | 0.106 | 1.5 | — | — | — | — | — | 99.5 | — | — | — | — | — | — | |
| FCFRYear=20212025.03 | 0.106 | 1.5 | — | — | — | — | — | 99.5 | — | — | — | — | — | — | |
| OMNI-DCArchitecture=2D-based, Sampling=Uniform sparse depth2026.03 | 0.111 | 1.4 | — | 99.4 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| Xu et al.Samples=5002020.10 | 0.112 | — | — | 99.5 | 99.9 | 100 | 1.8 | — | — | — | — | — | — | — | |
| Depth-Normal#params (M)=28.99, Iterative post-refinement=true2021.04 | 0.112 | 1.8 | — | 99.5 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| Xu et al.Number of sparse samples=5002021.07 | 0.112 | 1.8 | — | — | — | — | — | 99.5 | 99.9 | 100 | — | — | — | — | |
| DepthNormalFeature Representation=2D2024.03 | 0.112 | — | — | — | — | — | 1.8 | 99.5 | 99.9 | 100 | — | — | — | — | |
| GAENetArchitecture=2D-3D joint, Sampling=Uniform sparse depth2026.03 | 0.114 | 1.8 | — | 99.3 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| DeepLiDARSamples=5002020.10 | 0.115 | — | — | 99.3 | 99.9 | 100 | 2.2 | — | — | — | — | — | — | — | |
| DeepLiDAR#params (M)=53.44, Iterative post-refinement=false2021.04 | 0.115 | 2.2 | — | 99.3 | 99.9 | 100 | — | — | — | — | — | — | — | — | |
| DeepLidarSetting=T* => T, Sampling Pixels=5002022.03 | 0.115 | 2.2 | — | — | — | — | — | 99.3 | 99.9 | 100 | — | — | — | — | |
| DLIDARNumber of sparse samples=5002021.07 | 0.115 | 2.2 | — | — | — | — | — | 99.3 | 99.9 | 100 | — | — | — | — | |
| DeepLiDARFeature Representation=2D2024.03 | 0.115 | — | — | — | — | — | 2.2 | 99.3 | 99.9 | 100 | — | — | — | — | |
| DeepLiDAR2024.03 | 0.115 | 2.2 | — | — | — | — | — | 99.3 | — | — | — | — | — | — | |
| CSPN++2024.03 | 0.115 | — | — | — | — | — | — | — | — | — | — | — | — | — |