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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models have shown great potentials for high-quality image synthesis, and have gained competitive performance on the task of image-to-image translation.

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Cite this as

Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros (2024). Dataset: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. https://doi.org/10.57702/chbci18h

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Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2403.17639
Citation
  • https://doi.org/10.48550/arXiv.2205.07680
Author Jun-Yan Zhu
More Authors
Tinghui Zhou
Alexei A. Efros
Homepage https://arxiv.org/abs/1611.02200