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license: apache-2.0
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license: apache-2.0
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datasets:
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- BLIP3o/BLIP3o-Pretrain-Long-Caption
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- BLIP3o/BLIP3o-Pretrain-Short-Caption
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- BLIP3o/BLIP3o-Pretrain-JourneyDB
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base_model:
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- OpenGVLab/InternVL3-1B
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This repository contains the model (**autoencoders**) presented in the paper UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing.
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UniLIP proposes a unified, CLIP-based encoder featuring both rich semantics and fine-grained image details. Through a **two-stage and self-distillation training** for reconstruction, we empower CLIP to achieve excellent reconstruction results **without compromising its original understanding abilities**. Leveraging this powerful unified representation, UniLIP excels across understanding, generation, and editing tasks.
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For more details, please refer to the original paper and the GitHub repository:
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Paper: [UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface](https://www.arxiv.org/abs/2507.23278)
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GitHub: https://github.com/nnnth/UniLIP
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