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Towards extreme video compression using general world knowledge
Video codecs, classical and learned alike, rebuild a generic model of natural video at every receiver and still spend bits on what it cannot predict. A pretrained video-diffusion model has already learned what natural video looks like, and both ends can hold the same copy, so it need not be paid for
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