README.md

---
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_otf__nn

Scale: 4x   
Network type: RealPLKSR   
Author: Philip Hofmann   
License: CC-BY-4.0   
Purpose: 4x upscaling images, similiar to the 4xBHI_realplksr_dysample_otf model but without noise handling   
Pretrained Model: 4xNomos2_realplksr_dysample   
Training iterations: 251000   
Description: 4x realplksr dysample model to upscale images, trained on the BHI dataset. This is similiar to the 4xBHI_realplksr_dysample_otf model but trained without noise handling capability (_nn -> 'no noise'), since I had trained some models like this in the past to retrain some more details for cases where noise removal simply is not needed.