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.CV2024
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs
Jinming Liu, Yuntao Wei, Junyan Lin +5
We present a new image compression paradigm to achieve ``intelligently coding for machine'' by cleverly leveraging the common sense of Large Multimodal Models (LMMs). We are motiva…