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Google Leverages Transformers to Vastly Simplify Neural Video Compression With SOTA Results

Neural network-based approaches have made significant progress on video compression over the last several years, reaching performance on par with classical codec-based methods. These novel neural approaches however are challenging to implement, as they tend to require complex hand-crafted connections between their many sub-components…

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