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

[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xbhi_realplksr)  


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.