metadata
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
4xBHI_realplksr_dysample_multiblur
Scale: 4x
Network type: RealPLKSR
Author: Philip Hofmann
License: CC-BY-4.0
Purpose: 4x upscaling images, can handle some blur, jpeg and webp compression
Pretrained Model: 4xNomos2_realplksr_dysample
Training iterations: 354000
Description: 4x realplksr dysample model to upscale images, trained on the BHI dataset. Similiar to the 4xBHI_realplksr_dysample_multi model, the LR had made use of the same multiscaling, but additionally, compression handling had been added for jpeg and webp compression, plus I made use of average, gaussian and anisotropic blur for sharper results.