---
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/4xNomosWebPhoto_esrgan)

# 4xNomosWebPhoto_esrgan

Scale: 4  
Architecture: [ESRGAN](https://github.com/xinntao/Real-ESRGAN)  
Architecture Option: esrgan  

Author: Philip Hofmann  
License: CC-BY-0.4  
Purpose: Restoration  
Subject: Photography  
Input Type: Images  
Release Date: 16.06.2024  

Dataset: Nomos-v2  
Dataset Size: 6000  
OTF (on the fly augmentations): No  
Pretrained Model: RealESRGAN_x4plus  
Iterations: 210'000  
Batch Size: 12  
GT Size: 256  

Description:

4x ESRGAN model for photography, trained with realistic noise, lens blur, jpg and webp re-compression.  
ESRGAN version of [4xNomosWebPhoto_RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_RealPLKSR), trained on the same dataset and in the same way. For more information look into the [4xNomosWebPhoto_RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_RealPLKSR) release, and the pdf file in its attachments.

Showcase:  
[Slow Pics 6 Examples](https://slow.pics/s/Tlfv2z0D?image-fit=cover)  
![Example1](https://github.com/Phhofm/models/assets/14755670/c2c465e3-50f8-4f5f-bfae-45eb864008d0)
![Example2](https://github.com/Phhofm/models/assets/14755670/e8ad1deb-59c6-4e3b-aa75-7563cbc9982a)
![Example3](https://github.com/Phhofm/models/assets/14755670/c24601d1-ab57-4f0b-ae5a-26bd7f76a560)