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Here are basically most of the papers gathered: https://github.com/weihaox/awesome-image-translation.
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I also happen to know of a old (but it checks out) mass-port-to-pytorch github: https://github.com/eriklindernoren/PyTorch-GAN . That one is handy for more seeing what kind of models are out there, but they're probably not SOTA.
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contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
For unpaired image-to-image translation, the SOTA is probably Contrastive Unpaired Translation, which is developed by the same group that developed CycleGAN and is kind of the successor algorithm.
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