[D] Is the GAN architecture currently old-fashioned?

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/MachineLearning

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  • joliGAN

    Semantic Image-to-Image Translation for Domain Adaptation

    We use https://github.com/jolibrain/joliGAN which is a lib for image2image with additional "semantic" constraints. I.e. when there's a need to conserve labels, physics, anything between the two domains. This lib aggregates and improves on existing works.

  • projected-gan

    [NeurIPS'21] Projected GANs Converge Faster

    If you are looking for more traditional noise -> xxx GANs, go for https://github.com/autonomousvision/projected_gan/. Another recent work is https://github.com/nupurkmr9/vision-aided-gan.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • vision-aided-gan

    Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)

    If you are looking for more traditional noise -> xxx GANs, go for https://github.com/autonomousvision/projected_gan/. Another recent work is https://github.com/nupurkmr9/vision-aided-gan.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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