3 papers
cs.CV2025
Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields
Yixin Gao, Xiaohan Pan, Xin Li +1
The rapid development of AIGC foundation models has revolutionized the paradigm of image compression, which paves the way for the abandonment of most pixel-level transform and codi…
eess.IV2024
UniMIC: Towards Universal Multi-modality Perceptual Image Compression
Yixin Gao, Xin Li, Xiaohan Pan +5
We present UniMIC, a universal multi-modality image compression framework, intending to unify the rate-distortion-perception (RDP) optimization for multiple image codecs simultaneo…
eess.IV2023
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning
Guangqi Xie, Xin Li, Xiaohan Pan +1
Remote medical diagnosis has emerged as a critical and indispensable technique in practical medical systems, where medical data are required to be efficiently compressed and transm…