File size: 820 Bytes
9ce004f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
---
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. |