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@ -67,6 +67,17 @@ If you use this code for your research, please cite our papers.
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year={2021}
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}
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```
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Besides, welcome to cite our CoCosNet v1:
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```
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@inproceedings{zhang2020cross,
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title={Cross-domain Correspondence Learning for Exemplar-based Image Translation},
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author={Zhang, Pan and Zhang, Bo and Chen, Dong and Yuan, Lu and Wen, Fang},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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pages={5143--5153},
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year={2020}
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}
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```
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## Acknowledgments
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*This code borrows heavily from [CocosNet](https://github.com/microsoft/CoCosNet) and [DeepPruner](https://github.com/uber-research/DeepPruner).
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We also thank [SPADE](https://github.com/NVlabs/SPADE) and [RAFT](https://github.com/princeton-vl/RAFT).*
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