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JoliGEN is an integrated framework for training custom generative AI image-to-image models, by JoliBrain.

Main Features:

  • JoliGEN implements both GAN and Diffusion models for unpaired and paired image to image translation tasks, including domain and style adaptation with conservation of semantics such as image and object classes, masks, ...

  • JoliGEN generative AI capabilities are targeted at real world applications such as Controled Image Generation, Augmented Reality, Dataset Smart Augmentation and object insertion, Synthetic to Real transforms.

@killian31 killian31 closed this Oct 17, 2023
@killian31 killian31 deleted the feat_joliGEN branch October 17, 2023 08:56
@killian31 killian31 restored the feat_joliGEN branch October 17, 2023 08:56
@killian31 killian31 reopened this Oct 17, 2023
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