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| 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} | |
| } | |
| ``` |