Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

NOTE: This version uses the SUPIR-v0Q checkpoint and does not include the LLaVA-13b due to the memory constraint. Try https://replicate.com/cjwbw/supir-v0f for the SUPIR-v0F 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}
}