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Despite the remarkable progress in deep generative models, synthesizing high-resolution and temporally coherent videos still remains a challenge due to their high-dimensionality and complex temporal dynamics along with large spatial variations.
UCF101: A dataset of 101 human actions classes from videos in the wild
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Attention is all you need
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Eric R Chan, Connor Z Lin, Matthew A Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J Guibas, Jonathan Tremblay, Sameh Khamis, et al · 2022
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Flexible diffusion modeling of long videos
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Autoregressive latent video prediction with high-fidelity image generator
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StyleGAN-V: A continuous video generator with the price, image quality and perks of StyleGAN2
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Diffusion probabilistic modeling for video generation
Ruihan Yang, Prakhar Srivastava, and Stephan Mandt · 2022
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Generating videos with dynamics-aware implicit generative adversarial networks
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Fast sampling of diffusion models with exponential integrator
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Magicvideo: Efficient video generation with latent diffusion models
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, and Jiashi Feng · 2022
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Vidm: Video implicit diffusion models
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