2 papers
cs.CV2026
Dual-Constrained Diffusion Image Compression for Operational Rate-Distortion-Perception Optimization
Sanxin Jiang, Jiro Katto, Heming Sun
The rate-distortion-perception (RDP) trade-off extends classical rate--distortion theory by imposing a distributional constraint on reconstructions, providing a unified framework f…
cs.CV2026
Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion
Jinming Liu, Yuntao Wei, Junyan Lin +5
Learned image compression methods have shown impressive performance but are often highly specialized for either human perception or specific machine vision tasks. This specializati…