AI RESEARCH
CoD-Lite: Real-Time Diffusion-Based Generative Image Compression
arXiv CS.CV
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ArXi:2604.12525v1 Announce Type: new Recent advanced diffusion methods typically derive strong generative priors by scaling diffusion transformers. However, scaling fails to generalize when adapted for real-time compression scenarios that demand lightweight models. In this paper, we explore the design of real-time and lightweight diffusion codecs by addressing two pivotal questions. First, does diffusion pre-