The desire to edit photos of cats, cars, or even antique paintings, has never been more accessible thanks to a generative adversarial network (GAN) model called EditGAN. The work��from NVIDIA, the University of Toronto, and MIT researchers��builds off DatasetGAN, an artificial intelligence vision model that can be trained with as few as 16 human-annotated images and performs as effectively as other��
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