Depth Completion on NYU v2 (test)
0.037MAELDCM
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| LDCMZero-shot=true, Output Type=Metric Depth2026.05 | 0.037 | 0.113 | — | — | 0.013 | 0.994 | 1 | |
| PriorDAZero-shot=true, Output Type=Metric Depth2026.05 | 0.047 | 0.122 | — | — | 0.017 | 0.993 | 2.75 | |
| SPNetZero-shot=true, Configuration=Dataset-specific2026.05 | 0.047 | 0.127 | — | — | 0.017 | 0.992 | 2.5 | |
| OMNI-DCZero-shot=true, Output Type=Metric Depth2026.05 | 0.053 | 0.147 | — | — | 0.02 | 0.987 | 4.375 | |
| G2-MonoDepthZero-shot=true, Configuration=Dataset-specific2026.05 | 0.071 | 0.166 | — | — | 0.026 | 0.985 | 7.125 | |
| PromptDAZero-shot=true, Output Type=Metric Depth2026.05 | 0.079 | 0.162 | — | — | 0.028 | 0.989 | 6 | |
| Pow3RZero-shot=true, Output Type=Relative depth (global scale and shift recovered)2026.05 | 0.081 | 0.155 | — | — | 0.031 | 0.988 | 5.625 | |
| VGGTZero-shot=true, Output Type=Relative depth (global scale and shift recovered)2026.05 | 0.087 | 0.168 | — | — | 0.033 | 0.985 | 7 | |
| MoGe V1Zero-shot=true, Output Type=Relative depth (global scale and shift recovered)2026.05 | 0.093 | 0.18 | — | — | 0.037 | 0.979 | 8.75 | |
| WorldMirrorZero-shot=true, Output Type=Relative depth (global scale and shift recovered)2026.05 | 0.121 | 0.217 | — | — | 0.042 | 0.979 | 10.125 | |
| DepthAnythingV2Zero-shot=true, Output Type=Relative depth (global scale and shift recovered)2026.05 | 0.128 | 0.22 | — | — | 0.045 | 0.977 | 11.25 | |
| UniDepth V1Zero-shot=true, Output Type=Metric Depth2026.05 | 0.148 | 0.213 | — | — | 0.056 | 0.981 | 10.375 | |
| MoGe V2Zero-shot=true, Output Type=Metric Depth2026.05 | 0.186 | 0.261 | — | — | 0.07 | 0.963 | 13 | |
| UniDepth V2Zero-shot=true, Output Type=Metric Depth2026.05 | 0.218 | 0.293 | — | — | 0.085 | 0.948 | 14 | |
| DepthProZero-shot=true, Output Type=Metric Depth2026.05 | 0.253 | 0.332 | — | — | 0.096 | 0.929 | 15 | |
| MapAnythingZero-shot=true, Output Type=Metric Depth2026.05 | 0.327 | 0.724 | — | — | 0.132 | 0.885 | 16 | |
| FusionNetTraining Dataset=VOID, NYUv2, Finetuning Epochs=102021.06 | 116.58 | 198.2 | 24.88 | 44.25 | — | — | — | |
| FusionNetTraining Dataset=NYUv2, Finetuning Epochs=102021.06 | 117.49 | 199.31 | 24.89 | 44.06 | — | — | — | |
| FusionNetTraining Dataset=VOID, NYUv2, Finetuning Epochs=12021.06 | 124.46 | 205.27 | 27.37 | 47.56 | — | — | — | |
| ScaffNetTraining Dataset=SceneNet, Finetuning Epochs=02021.06 | 136.55 | 240.63 | 30.77 | 59.1 | — | — | — | |
| FusionNetTraining Dataset=VOID, Finetuning Epochs=02021.06 | 155.2 | 241.42 | 31.77 | 52.62 | — | — | — |