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Transforming long videos into lightweight, reusable knowledge representations could redefine the efficiency of video understanding systems.
Real-time, lightweight image compression is now possible with diffusion models, thanks to a novel architecture that swaps transformers for convolutions and prioritizes compression-focused pre-training.