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H-DDCM: Hadamard Codebooks for Fast Generative Image and Video Compression

Ronai, Or et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitionmachine-learning
Training-free diffusion-based compression methods repurpose the generative priors of a diffusion or a flow model to compress data without retraining them as task-specific codecs. Recent codebook-based approaches such as Turbo-DDCM achieve strong perceptual quality at ultra-low bitrates, but their re
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