OpenCodePapers
surface-normals-estimation-on-sintel
Surface Normals Estimation
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Code
mAE
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ModelName
ReleaseDate
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Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation
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28.7
Marigold V2 (normals)
2026-09-08
TransNormal-2: Geometry-Grounded Rectified Flow with Edge-Aware Decoding for Precise Normal Estimation
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29.2
TransNormal-2
2026-09-06
Video Generation Models are General-Purpose Vision Learners
29.3
GenCeption Generalist-L
2026-07-10
Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model
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30.3
Lotus-2 (zero-shot)
2025-11-30
NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors
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30.7
NormalCrafter
2025-04-15
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
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32.3
Lotus-D (zero-shot)
2024-09-26
Video Generative Models as Geometry Learner
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33.0
GeoNeXt
2026-08-28
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
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33.4
GeoWizard + E2E FT (zero-shot)
2024-09-17
Rethinking Inductive Biases for Surface Normal Estimation
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34.9
DSINE (zero-shot)
2024-03-01
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