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- README.md +35 -0
- annotations.json +3 -0
- inpainted_images.tar.gz +3 -0
- mask_images.tar.gz +3 -0
- original_images.tar.gz +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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annotations.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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task_categories:
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- image-to-image
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language:
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- en
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pretty_name: OABench
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size_categories:
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- 10K<n<100K
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---
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# Diffree's dataset: OABench (Object Addition Benchmark)
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<p align="center">
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<a href="https://opengvlab.github.io/Diffree/"><u>[🌐Project Page]</u></a>
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<a href="https://drive.google.com/file/d/1AdIPA5TK5LB1tnqqZuZ9GsJ6Zzqo2ua6/view"><u>[🎥 Video]</u></a>
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<a href="https://github.com/OpenGVLab/Diffree"><u>[🔍 Code]</u></a>
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<a href="https://arxiv.org/pdf/2407.16982"><u>[📜 Arxiv]</u></a>
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<a href="https://huggingface.co/spaces/LiruiZhao/Diffree"><u>[🤗 Hugging Face Demo]</u></a>
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</p>
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[Diffree](https://arxiv.org/pdf/2407.16982) is a diffusion model that enables the addition of new objects to images using only text descriptions, seamlessly integrating them with consistent background and spatial context.
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In this repo, we provide the dataset OABench of Diffree, and you can use it for training your own model or explore and try our model via [🤗 Hugging Face demo](https://huggingface.co/spaces/LiruiZhao/Diffree).
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## Citation
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If you found this work useful, please consider citing:
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```
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@article{zhao2024diffree,
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title={Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model},
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author={Zhao, Lirui and Yang, Tianshuo and Shao, Wenqi and Zhang, Yuxin and Qiao, Yu and Luo, Ping and Zhang, Kaipeng and Ji, Rongrong},
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journal={arXiv preprint arXiv:2407.16982},
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year={2024}
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}
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```
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annotations.json
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inpainted_images.tar.gz
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mask_images.tar.gz
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original_images.tar.gz
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