metadata
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
4xBHI_realplksr_dysample_real
Scale: 4x
Network type: RealPLKSR
Author: Philip Hofmann
License: CC-BY-4.0
Purpose: 4x upscaling images, handling some blur, some noise, and compression
Pretrained Model: 4xNomos2_realplksr_dysample
Training iterations: 380000
Description: 4x realplksr dysample model to upscale images, trained on the BHI dataset. This is with a created LR set where I used wtp_destroyer to add blur (50% chance), my ludvae200 model to add noise (50% chance), and then wtp to add compression, scaling, recompression (50% chance), scaling.