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University of Science and Technology
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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.
Ditching the 2D latent grid unlocks 60%+ bitrate reductions in generative video compression by encoding videos into adaptable 1D latent tokens.
