SOURCE-LINKED INTELLIGENCE
Information Capacity of Generative Video Compression: Quantifying the Rate-Compute Exchange at Identical Quality
Under the AI Flow framework, communication networks distribute intelligence across devices, edge servers, and clouds, and computation at the receiver becomes a resource that can substitute for transmitted bits. Generative video compression (GVC) embodies this exchange by sending compact tokens with ultra-low bitrate and letting a generative decoder synthesize the video, yet how much bandwidth savings a unit of decoder compute actually achieves has never been quantified. To fill this vacancy, we model reconstruction quality as a two-factor power law in data rate and decoder compute, which fits
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T07:56:15.000Z
First collected: 2026-09-24T01:22:21.678Z. This is not the publication date.