Chunyi Li1
Haoning Wu2,
Hongkun Hao1,
Zicheng Zhang1,
Tengchuan Kou1,
Chaofeng Chen2,
Xiaohong Liu1,
Lei Bai3,
Weisi Lin2,
Guangtao Zhai1
1Shanghai Jiao Tong University University, 2Nanyang Technological University, 3Shanghai AI Lab
The official repo of AIGC image quality refiners:
Q-Refine: Single optimization in perceptual quality.
G-Refine: General optimization in perceptual/alignment quality.
python PQ-Map.py -p /orignal/image/path
Change draw
to enable a quality map output. multi
for using onr/multiple embedings. (Condisering overall quality, or quality in different aspect)
- ✅ Release the PQ-Map code (Q-Refine and G-Refine)
- Release the AQ-Map code (G-Refine only)
- Release the Q-Refine code
- Release the G-Refine code
- Release the training script
If you have any inquiries, please don't hesitate to reach out via email at lcysyzxdxc@sjtu.edu.cn
If you find G-Refine is helpful, please cite:
@misc{G-Refine,
title={G-Refine: A General Quality Refiner for Text-to-Image Generation},
author={Chunyi Li and Haoning Wu and Hongkun Hao and Zicheng Zhang and Tengchaun Kou and Chaofeng Chen and Lei Bai and Xiaohong Liu and Weisi Lin and Guangtao Zhai},
year={2024},
eprint={2404.18343},
archivePrefix={arXiv},
primaryClass={cs.MM}
}
If you find Q-Refine is helpful, please cite:
@misc{Q-Refine,
title={Q-Refine: A Perceptual Quality Refiner for AI-Generated Image},
author={Chunyi Li and Haoning Wu and Zicheng Zhang and Hongkun Hao and Kaiwei Zhang and Lei Bai and Xiaohong Liu and Xiongkuo Min and Weisi Lin and Guangtao Zhai},
year={2024},
eprint={2401.01117},
archivePrefix={arXiv},
primaryClass={cs.CV}
}