Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
NOTE: This version uses the SUPIR-v0F
checkpoint and does not include the LLaVA-13b due to the memory constraint. Try https://replicate.com/cjwbw/supir-v0q for the SUPIR-v0Q
checkpoint or https://replicate.com/cjwbw/supir which is hosted on 80G A100 to include LLaVA-13b model.
SUPIR-v0Q
: Default training settings with paper. High generalization and high image quality in most cases.SUPIR-v0F
: Training with light degradation settings. Stage1 encoder of SUPIR-v0F remains more details when facing light degradations.
BibTeX
@misc{yu2024scaling,
title={Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild},
author={Fanghua Yu and Jinjin Gu and Zheyuan Li and Jinfan Hu and Xiangtao Kong and Xintao Wang and Jingwen He and Yu Qiao and Chao Dong},
year={2024},
eprint={2401.13627},
archivePrefix={arXiv},
primaryClass={cs.CV}
}