DeepMind’s AI learns to generate realistic videos by watching YouTube clips

The team reports that after being trained on Google’s AI-accelerating third-generation Tensor Processing Units for between 12 and 96 hours, DVD-GAN managed to create videos with object composition, movement, and even complicated textures like the side of an ice rink. It struggled to create coherent objects at higher resolutions where movement consisted of a much larger number of pixels, but the researchers note that, evaluated on UCF-101 (a smaller data set of 13,320 videos of human actions), DVD-GAN produced samples with a state-of-the-art Inception Score of 32.97. – Kyle Wiggers, VentureBeat » https://ift.tt/2M05aMc
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