Scale: 4
Architecture: 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, trained on the same dataset and in the same way. For more information look into the 4xNomosWebPhoto_RealPLKSR release, and the pdf file in its attachments.

Showcase:
Slow Pics 6 Examples