AI RESEARCH
Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression
arXiv CS.AI
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ArXi:2511.06424v2 Announce Type: replace-cross While zero-shot diffusion-based compression methods have seen significant progress in recent years, they remain notoriously slow and computationally demanding. This paper presents an efficient zero-shot diffusion-based compression method that runs substantially faster than existing methods, while maintaining performance that is on par with the state-of-the-art techniques. Our method builds upon the recently proposed Denoising Diffusion Codebook Models (DDCMs) compression scheme.