Web: http://arxiv.org/abs/2206.07307

June 16, 2022, 1:13 a.m. | Fabian Mentzer, George Toderici, David Minnen, Sung-Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson

cs.CV updates on arXiv.org arxiv.org

We show how transformers can be used to vastly simplify neural video
compression. Previous methods have been relying on an increasing number of
architectural biases and priors, including motion prediction and warping
operations, resulting in complex models. Instead, we independently map input
frames to representations and use a transformer to model their dependencies,
letting it predict the distribution of future representations given the past.
The resulting video compression transformer outperforms previous methods on
standard video compression data sets. Experiments on …

arxiv compression cv transformer video

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