| | --- |
| | license: apache-2.0 |
| | base_model: |
| | - Qwen/Qwen2.5-VL-7B-Instruct |
| | tags: |
| | - IQA |
| | - VQA |
| | - AIGC |
| | --- |
| | ## Model Description |
| | This is a huggingface model card for Q-Insight family 👋 |
| |
|
| | - Q-Insight paper: https://arxiv.org/pdf/2503.22679 |
| | - VQ-Insight paper: https://arxiv.org/pdf/2506.18564 |
| | - RALI paper: https://arxiv.org/pdf/2510.11369 |
| | - Code: https://github.com/bytedance/Q-Insight |
| |
|
| | ## License |
| | This project is licensed under the Apache-2.0 License. It is finetuned from [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) under Apache-2.0. |
| |
|
| | ## Citation |
| | If you find the code helpful in your research or work, please cite the following papers: |
| | ``` |
| | @inproceedings{li2025qinsight, |
| | title={Q-insight: Understanding image quality via visual reinforcement learning}, |
| | author={Li, Weiqi and Zhang, Xuanyu and Zhao, Shijie and Zhang, Yabin and Li, Junlin and Zhang, Li and Zhang, Jian}, |
| | booktitle={Advances in Neural Information Processing Systems}, |
| | year={2025} |
| | } |
| | ``` |
| | ``` |
| | @inproceedings{zhang2025vqinsight, |
| | title={VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning}, |
| | author={Zhang, Xuanyu and Li, Weiqi and Zhao, Shijie and Li, Junlin and Zhang, Li and Zhang, Jian}, |
| | booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, |
| | year={2026} |
| | } |
| | ``` |
| | ``` |
| | @inproceedings{zhao2025reasoning, |
| | title={Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment}, |
| | author={Zhao, Shijie and Zhang, Xuanyu and Li, Weiqi and Li, Junlin and Zhang, Li and Xue, Tianfan and Zhang, Jian}, |
| | booktitle={Proceedings of the International Conference on Learning Representations (ICLR)}, |
| | year={2026} |
| | } |
| | ``` |
