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eess.IV2025
Generative Preprocessing for Image Compression with Pre-trained Diffusion Models
Mengxi Guo, Shijie Zhao, Junlin Li +1
Preprocessing is a well-established technique for optimizing compression, yet existing methods are predominantly Rate-Distortion (R-D) optimized and constrained by pixel-level fide…
eess.IV2025
Audio-Visual Cross-Modal Compression for Generative Face Video Coding
Youmin Xu, Mengxi Guo, Shijie Zhao +4
Generative face video coding (GFVC) is vital for modern applications like video conferencing, yet existing methods primarily focus on video motion while neglecting the significant…
eess.IV2024
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
Yulin Ren, Xin Li, Bingchen Li +5
We present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors. This intends to handle two pivotal challenges in the…