Web: http://arxiv.org/abs/2205.11495

Sept. 16, 2022, 1:15 a.m. | William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood

cs.CV updates on arXiv.org arxiv.org

We present a framework for video modeling based on denoising diffusion
probabilistic models that produces long-duration video completions in a variety
of realistic environments. We introduce a generative model that can at
test-time sample any arbitrary subset of video frames conditioned on any other
subset and present an architecture adapted for this purpose. Doing so allows us
to efficiently compare and optimize a variety of schedules for the order in
which frames in a long video are sampled and use …

arxiv diffusion modeling videos

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