Surface Normal Estimation on iBims-1
13MAEGeoWizard
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GeoWizardGenerative Model=✓, MTL=✓, Inference Steps=12026.06 | 13 | 65.3 | — | — | — | |
| MoGe-2Method category=Geometry-specialized2026.07 | 14.7 | 70.4 | — | — | — | |
| FE2ETraining Data=71K, Zero-shot=true2025.09 | 15.1 | 70.6 | — | — | — | |
| FE2EGenerative Model=✓, MTL=✓, Inference Steps=12026.06 | 15.1 | 70.6 | — | — | — | |
| Edit2PercCategory=Generative dense prediction methods2026.07 | 15.1 | 70.9 | — | — | — | |
| ReChannel-9BCategory=RGB-native field readout, Backbone=FLUX-Klein 9B2026.07 | 15.1 | 71.1 | — | — | — | |
| FE2EMethod category=Generation-based2026.07 | 15.1 | 70.6 | — | — | — | |
| Lotus-2Generative Model=×, MTL=×, Inference Steps=12026.06 | 15.4 | 70.4 | — | — | — | |
| Lotus-2Method category=Generation-based2026.07 | 15.4 | 70.4 | — | — | — | |
| SenseNova-VisionMethod category=Generation-based2026.07 | 15.4 | 69.1 | — | — | — | |
| MVInversezero-shot=true2025.12 | 16 | 0.692 | 0.841 | — | — | |
| Diffusion-E2E-FTzero-shot=true2025.12 | 16.1 | 0.697 | 0.839 | — | — | |
| Diffusion-E2E-FTTraining Data=74K, Zero-shot=true2025.09 | 16.1 | 69.7 | — | — | — | |
| Marigold v1.1Training Data=77K, Zero-shot=true2025.09 | 16.3 | 68.5 | — | — | — | |
| OrchidGenerative Model=✓, MTL=✓, Inference Steps=12026.06 | 16.3 | 68.1 | — | — | — | |
| MarigoldCategory=Generative dense prediction methods2026.07 | 16.3 | 68.5 | — | — | — | |
| SurGe2026.05 | 16.5 | — | — | — | — | |
| MarigoldGenerative Model=✓, MTL=×, Inference Steps=12026.06 | 16.6 | 68 | — | — | — | |
| MUSE-dGenerative Model=×, MTL=✓, Inference Steps=12026.06 | 16.7 | 67.3 | — | — | — | |
| DSINEzero-shot=true2025.12 | 17.1 | 0.674 | 0.823 | — | — | |
| Lotus-Dzero-shot=true2025.12 | 17.1 | 0.664 | 0.83 | — | — | |
| DSINETraining Data=160K, Zero-shot=true2025.09 | 17.1 | 67.4 | — | — | — | |
| Lotus-DTraining Data=59K, Zero-shot=true2025.09 | 17.1 | 66.4 | — | — | — | |
| DSine2026.05 | 17.1 | — | 82.3 | 6.1 | 79 | |
| DSINETraining Data=160K, Zero-shot=true2026.06 | 17.1 | 67.4 | 82.3 | — | — | |
| DSINECategory=Specialized / discriminative methods2026.07 | 17.1 | 67.4 | — | — | — | |
| Lotus-DCategory=Generative dense prediction methods2026.07 | 17.1 | 66.4 | — | — | — | |
| DSINEMethod category=Geometry-specialized2026.07 | 17.1 | 67.4 | — | — | — | |
| Lotus-GTraining Data=59K, Zero-shot=true2025.09 | 17.2 | 66.2 | — | — | — | |
| Marigoldv1.1Generative Model=✓, MTL=×, Inference Steps=12026.06 | 17.2 | 65.6 | — | — | — | |
| UNIGPTraining Data=59K, Zero-shot=true2026.06 | 17.3 | 66.5 | 82.8 | — | — | |
| MUSE-gGenerative Model=✓, MTL=✓, Inference Steps=12026.06 | 17.4 | 65.8 | — | — | — | |
| Lotus-gGenerative Model=✓, MTL=×, Inference Steps=12026.06 | 17.5 | 66.1 | — | — | — | |
| MoGe2026.05 | 17.6 | — | — | — | — | |
| Lotus-dGenerative Model=×, MTL=×, Inference Steps=12026.06 | 17.7 | 64.9 | — | — | — | |
| Omnidata V2zero-shot=true2025.12 | 18.2 | 0.639 | 0.811 | — | — | |
| StableNormalzero-shot=true2025.12 | 18.2 | 0.65 | 0.824 | — | — | |
| GenPerceptTraining Data=74K, Zero-shot=true2025.09 | 18.2 | 64 | — | — | — | |
| StableNormalTraining Data=250K, Zero-shot=true2025.09 | 18.2 | 65 | — | — | — | |
| Omnidata v22026.05 | 18.2 | — | 81.1 | 7 | 77.4 | |
| Omnidata V2Training Data=12.2M, Zero-shot=true2026.06 | 18.2 | 63.9 | 81.1 | — | — | |
| StableNormalTraining Data=250K, Zero-shot=true2026.06 | 18.2 | 65 | 82.4 | — | — | |
| JoDiTraining Data=290K, Zero-shot=true2026.06 | 18.2 | — | — | — | — | |
| Omnidata v2Category=Specialized / discriminative methods2026.07 | 18.2 | 63.9 | — | — | — | |
| GenPerceptCategory=Generative dense prediction methods2026.07 | 18.2 | 64 | — | — | — | |
| MoGe-22026.05 | 18.4 | — | — | — | — | |
| MarigoldTraining Data=74K, Zero-shot=true2025.09 | 18.5 | 64.7 | — | — | — | |
| MarigoldTraining Data=74K, Zero-shot=true2026.06 | 18.5 | 64.7 | — | — | — | |
| MarigoldMethod category=Generation-based2026.07 | 18.5 | 64.7 | — | — | — | |
| OmnidataTraining Data=12.2M, Zero-shot=true2026.06 | 19 | 62.1 | 80.1 | — | — | |
| GeoWizardzero-shot=true2025.12 | 19.3 | 0.63 | 0.803 | — | — | |
| GeoWizardTraining Data=280K, Zero-shot=true2025.09 | 19.3 | 63 | — | — | — | |
| GeoWizardTraining Data=280K, Zero-shot=true2026.06 | 19.3 | 63 | 80.3 | — | — | |
| GeoWizardCategory=Generative dense prediction methods2026.07 | 19.3 | 63 | — | — | — | |
| Metric3Dv2Generative Model=×, MTL=✓, Inference Steps=12026.06 | 19.6 | 69.7 | — | — | — | |
| EESNU2026.05 | 20 | — | 78.2 | 8.4 | 73.4 | |
| IVGT2026.05 | 20.1 | — | 79.6 | 10.6 | 74.4 | |
| Depth Pro2026.05 | 20.3 | — | — | — | — | |
| Depth Anything 32026.05 | 20.7 | — | — | — | — | |
| UniDepthV22026.05 | 20.7 | — | — | — | — | |
| π32026.05 | 21.1 | — | — | — | — | |
| VGGT2026.05 | 21.6 | — | — | — | — | |
| InfiniDepthAlignment and unprojection protocol=uses MoGe-22026.05 | 21.9 | — | — | — | — | |
| DUSt3R2026.05 | 24 | — | — | — | — | |
| MapAnything2026.05 | 25.1 | — | — | — | — | |
| OASIS2026.05 | 32.6 | — | 57.4 | 24.6 | 46.6 | |
| PPDAlignment and unprojection protocol=uses MoGe-22026.05 | 38.2 | — | — | — | — |