metadata

license: cc-by-4.0
pipeline_tag: image-to-image
tags:
  - pytorch
  - super-resolution

4xBHI_dat2_multiblurjpg

Scale: 4x
Network type: DAT2
Author: Philip Hofmann
License: CC-BY-4.0
Purpose: 4x upscaling images, handles jpg compression
Pretrained Model: 4xNomos2_hq_dat2
Training iterations: 320000
Description: 4x dat2 upscaling model, trained with down_up,linear, cubic_mitchell, lanczos, gauss and box scaling algos, some average, gaussian and anisotropic blurs and jpg compression. Trained on my BHI sisr dataset.

You can also try out the 4xBHI_dat2_multiblur checkpoint below (trained to 250000 iters), which cannot handle compression but might give just slightly better output on non-degraded input.