Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission 事件

Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission arXiv:2606.06273v1 Announce Type: cross Abstract: Lossless pixel-level image transmission is a fundamental regime beyond semantic communications, because exact recovery requires both accurate symbol probability modeling and reliable delivery over noisy channels. This paper proposes DDM-SSCC, a discrete-diffusion-model-based separate source-channel coding framework for lossless image transmission. Different from raste