jarrentwu1031 / ccpl

Contrastive Coherence Preserving Loss for Versatile Style Transfer

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Input

Output

Examples

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Run time and cost

This model costs approximately $0.00097 to run on Replicate, or 1030 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 5 seconds.

Readme

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer (ECCV 2022 Oral)

@inproceedings{wu2022ccpl,
  title={CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer},
  author={Wu, Zijie and Zhu, Zhen and Du, Junping and Bai, Xiang},
  year={2022},
  booktitle={ECCV},
}

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Inspirations for CCPL

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Details of CCPL

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Artistic Style Transfer

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Photo-realistic Style Transfer

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Super-resolution PST

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Short-term Temporal Consistency

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Long-term Temporal Consistency

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Image-to-image translation

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Acknowledgments

The code is based on project AdaIN and CUT. We sincerely thank them for their great work.