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NomosUni rgt multijpg
Good for
Purpose: 4x universal DoF preserving upscaler
4x universal DoF preserving upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos) in neosr with adamw, unet and pixel, perceptual, gan and color losses. Similiar to the last model I released, with same dataset, this is a full RGT model in comparison.
FP32 ONNX conversion is provided in the google drive folder for you to run it.
6 Examples (To check JPG compression handling see Example Nr.4, to check Depth of Field handlin see Example Nr.1 & Nr.6): Slowpics
Training details (8)
- Date
- 2024-02-20
- Dataset
- nomosuni
- Dataset size
- 2989
- Training iterations
- 100000
- Training epochs
- 79
- Training batch size
- 12
- Training HR size
- 128
- Training OTF
- No
Model
Rights
CC-BY-4.0Disclaimer
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