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- license: apache-2.0
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+ ---
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+ license: apache-2.0
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+ ---
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+ # MVInpainter
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+ [NeurIPS 2024] MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
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+ [[arXiv]](https://arxiv.org/pdf/2408.08000) [[Project Page]](https://ewrfcas.github.io/MVInpainter/)
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+ Codes and models will be open-released soon!
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+ Codes organization is working in progress.
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+ ### Dataset preparation (training)
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+ 1. Downloading [Co3dv2](https://github.com/facebookresearch/co3d), [MVImgNet](https://github.com/GAP-LAB-CUHK-SZ/MVImgNet) for MVInpainter-O.
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+ Downloading [Real10k](https://google.github.io/realestate10k/download.html), [DL3DV](https://github.com/DL3DV-10K/Dataset), [Scannet++](https://kaldir.vc.in.tum.de/scannetpp) for MVInpainter-F.
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+ 2. Downloading information of indices and masking formats from [Link](), and put them to ```./data```. Note that we remove some dirty samples from aforementioned datasets. We additionally provide complete foreground masks for MVImgNet through ```CarveKit```.
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+
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+ ### Pretrained weights (training)
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+ Put these weights to ```./check_points```
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+ 1. [SD1.5-inpainting]()
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+ 2. [AnimateDiff weights](). We revise the key name for easier ```peft``` usages.
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+ ## Cite
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+ If you found our program helpful, please consider citing:
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+
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+ ```
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+ @article{cao2024mvinpainter,
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+ title={MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing},
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+ author={Cao, Chenjie and Yu, Chaohui and Fu, Yanwei and Wang, Fan and Xue, Xiangyang},
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+ journal={arXiv preprint arXiv:2408.08000},
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+ year={2024}
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+ }
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+ ```