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SotA/Computer Vision/Surface Normals Estimation/NYU Depth v2

Surface Normals Estimation on NYU Depth v2

Metric: RMSE (lower is better)

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#Model↕RMSE▲Extra DataPaperDate↕Code
1Metric3Dv2(L, FT)19.2YesMetric3Dv2: A Versatile Monocular Geometric Foun...2024-03-22Code
2Floors are Flat19.3NoFloors are Flat: Leveraging Semantics for Real-T...2019-06-16Code
3PolyMaX(ConvNeXt-L)20.4NoPolyMaX: General Dense Prediction with Mask Tran...2023-11-09Code
4iDisc22.8NoiDisc: Internal Discretization for Monocular Dep...2023-04-13Code
5Bae et al.23.5NoEstimating and Exploiting the Aleatoric Uncertai...2021-09-20Code