[D] Edit Videos With CLIP - StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2 by Ivan Skorokhodov et al. explained in 5 minutes (by Casual GAN Papers)

While we have seen several new SOTA image generation models pop up over the last year, video generation still remains lackluster, to say the least. But does it have to be? The authors of StyleGAN-V certainly don’t think so! By adapting the generator from StyleGAN2 to work with motion conditions, developing a hypernetwork-based discriminator, and designing a clever acyclic positional encoding, Ivan Skorohodov and the team at KAUST and Snap Inc. deliver a model that generates videos of arbitrary length …

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