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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
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+ <div align="center">
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+ [[Paper](https://arxiv.org/abs/2504.07960)] &emsp; [[Project Page](https://visualcloze.github.io/)] &emsp; [[Github](https://github.com/lzyhha/VisualCloze)]
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+ </div>
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+ <div align="center">
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+ [[🤗 Online Demo](https://huggingface.co/spaces/VisualCloze/VisualCloze)] &emsp; [[🤗 Dataset Card](https://huggingface.co/datasets/VisualCloze/Graph200K)]
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+ </div>
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+ ## 🌠 Key Features:
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+ An in-context learning based universal image generation framework.
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+ 1. Support various in-domain tasks.
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+ 2. Generalize to <strong><span style="color:hotpink"> unseen tasks</span></strong> through in-context learning.
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+ 3. Unify multiple tasks into one step and generate both target image and intermediate results.
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+ 4. Support reverse-engineering a set of conditions from a target image.
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+ 🔥 Examples are shown in the [project page](https://visualcloze.github.io/).