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README.md
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---
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license: apache-2.0
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language:
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- en
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tags:
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- multimodal
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- image-restoration
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- unified-model
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- BAGEL
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- VLM
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pipeline_tag: image-text-to-text
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---
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# CLEAR: Unlocking Generative Potential for Degraded Image Understanding
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CLEAR is a unified multimodal model that leverages generative capabilities (image restoration) to improve visual understanding of degraded images. It introduces an **interleaved reasoning** paradigm where the model adaptively decides whether to invoke image restoration before answering.
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> [[Paper]](https://arxiv.org/abs/2604.04780) | [[Code]](https://github.com/haoxiangzhao12138/CLEAR) | [[Project Page]](https://haoxiangzhao12138.github.io/CLEAR/) | [[MMD-Bench]](https://huggingface.co/datasets/CUDAOUTOFMEMORY/MMD-Bench)
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## Citation
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```bibtex
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@misc{hao2026clearunlockinggenerativepotential,
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title={CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models},
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author={Xiangzhao Hao and Zefeng Zhang and Zhenyu Zhang and Linhao Yu and Yao Chen and Yiqian Zhang and Haiyun Guo and Shuohuan Wang and Yu Sun},
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year={2026},
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eprint={2604.04780},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2604.04780},
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}
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```
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