Image-to-Image Translation
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Approaches:
- Paired
- Unparied
CycleGAN
- Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | J. Zhu, T. Park, P. Isola, and A. Efros - Semantic Scholar
- CycleGAN: Learning to Translate Images (Without Paired Training Data) | Sarah Wolf - Towards Data Science
An approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples Image-to-Image Translation | Yongfu Hao