[D] What is current SOTA in Image to Image Translation?

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

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  • awesome-image-translation

    A collection of awesome resources image-to-image translation.

    Here are basically most of the papers gathered: https://github.com/weihaox/awesome-image-translation.

  • PyTorch-GAN

    PyTorch implementations of Generative Adversarial Networks.

    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.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • 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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