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--- |
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license: mit |
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--- |
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# LEGO-Diffusion checkpoint repository |
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### For implementation details, please refer to our [Github Repo](https://github.com/JegZheng/LEGODiffusion) |
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#### ImageNet pretrained checkpoints |
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<table><tbody> |
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<!-- START TABLE --> |
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<!-- TABLE HEADER --> |
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<th align="left">model</th> |
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<th align="left">FID</th> |
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<th align="left">IS</th> |
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<!-- TABLE BODY --> |
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<tr> |
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<td align="left">LEGO-L-PG</td> |
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<td align="left">2.16</td> |
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<td align="left">78.7</td> |
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</tr> |
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<tr> |
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<td align="left">LEGO-L-PR</td> |
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<td align="left">2.29</td> |
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<td align="left">78.7</td> |
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</tr> |
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<tr> |
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<td align="left">LEGO-XL-U</td> |
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<td align="left">2.59</td> |
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<td align="left">338.08</td> |
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</tr> |
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</tbody></table> |
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### BibTex |
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Please cite our work if you find it is helpful. Thank you! |
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``` |
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@inproceedings{ |
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zheng2024learning, |
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title={Learning Stackable and Skippable {LEGO} Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling}, |
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author={Huangjie Zheng and Zhendong Wang and Jianbo Yuan and Guanghan Ning and Pengcheng He and Quanzeng You and Hongxia Yang and Mingyuan Zhou}, |
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booktitle={The Twelfth International Conference on Learning Representations}, |
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year={2024}, |
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url={https://openreview.net/forum?id=qmXedvwrT1} |
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} |
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``` |
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