collaborators

10 papers

cs.MM2025

A Tri-Dynamic Preprocessing Framework for UGC Video Compression

Fei Zhao, Mengxi Guo, Shijie Zhao +3

In recent years, user generated content (UGC) has become the dominant force in internet traffic. However, UGC videos exhibit a higher degree of variability and diverse characterist…

cs.MM2025

A Preprocessing Framework for Video Machine Vision under Compression

Fei Zhao, Mengxi Guo, Shijie Zhao +3

There has been a growing trend in compressing and transmitting videos from terminals for machine vision tasks. Nevertheless, most video coding optimization method focus on minimizi…

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…

cs.CV2025

Region-Adaptive Video Sharpening via Rate-Perception Optimization

Yingxue Pang, Shijie Zhao, Mengxi Guo +2

Sharpening is a widely adopted video enhancement technique. However, uniform sharpening intensity ignores texture variations, degrading video quality. Sharpening also increases bit…

cs.CV2024

MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs

Yulin Ren, Xin Li, Mengxi Guo +3

We present MambaCSR, a simple but effective framework based on Mamba for the challenging compressed image super-resolution (CSR) task. Particularly, the scanning strategies of Mamb…

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…

cs.CV2024

PromptCIR: Blind Compressed Image Restoration with Prompt Learning

Bingchen Li, Xin Li, Yiting Lu +5

Blind Compressed Image Restoration (CIR) has garnered significant attention due to its practical applications. It aims to mitigate compression artifacts caused by unknown quality f…

cs.MM2024

PiGW: A Plug-in Generative Watermarking Framework

Rui Ma, Mengxi Guo, Li Yuming +5

Integrating watermarks into generative images is a critical strategy for protecting intellectual property and enhancing artificial intelligence security. This paper proposes Plug-i…

cs.MM2024

Optimal Transcoding Resolution Prediction for Efficient Per-Title Bitrate Ladder Estimation

Jinhai Yang, Mengxi Guo, Shijie Zhao +2

Adaptive video streaming requires efficient bitrate ladder construction to meet heterogeneous network conditions and end-user demands. Per-title optimized encoding typically traver…