- surface_normal_uncertainty VS 2dimageto3dmodel
- surface_normal_uncertainty VS fortuna
- surface_normal_uncertainty VS IGR
- surface_normal_uncertainty VS ipme
- surface_normal_uncertainty VS DIML
- surface_normal_uncertainty VS neural-deferred-shading
- surface_normal_uncertainty VS calibrated-backprojection-network
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surface_normal_uncertainty reviews and mentions
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Non official colab to create normal maps using "Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation" from baegwangbin
I needed normal maps for my movie and I saw in the new ControlNet update that they used https://github.com/baegwangbin/surface_normal_uncertainty to make normals which gave me better results than previous methods. So I decided to make a colab to process all my images because I didn't find how to do it in Automatic 1111.
Stats
baegwangbin/surface_normal_uncertainty is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of surface_normal_uncertainty is Python.
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