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Normal RG0 BC1

4xESRGANby RunDevelopment

A 4x upscaler for BC1-compressed normal maps with a zeroed-out B channel. The output normals will also have a constant-zero B channel. Use external software or image editing plugins to properly normalize the generated normals and generate the Z component (if necessary). E.g. chaiNNer can do this with Normalize Normal Map node. Do not rely on this network producing unit vectors.

Dataset transformation:
The LR have been compressed with various BC1 compression settings (dithering, weighting) using Texconv version 2021.11.8.1. Since the contents of the B channel influence the R and G channels during compression, the LR were given a B channel that was either the Z component of the normal, a random constant color, or a random texture (usually the G channel of the associated albedo) before compression. The LR + B channel was then compressed and the resulting BC1-compressed DDS was converted back into a PNG and had its B channel zeroed out.

More information: https://github.com/RunDevelopment/ESRGAN-models/blob/main/normals/README.md

Training details (8)
Date
2022-04-02
Dataset
Custom. See description.
Dataset size
577
Training iterations
100000
Training epochs
89
Training batch size
8
Training HR size
128
Training OTF
No

Model

Architecture
ESRGAN
Scale
4x
Size
64nf23nb
Color Mode

Rights

CC0-1.0
Private use
Commercial use
Distribution
Modifications
No Liability & Warranty
Disclaimer

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