3 citations · 9 across the 15 of their papers we have counts for
6 papers · 1 filter
Generative Human Video Compression with Multi-granularity Temporal Trajectory Factorization
Shanzhi Yin, Bolin Chen, Shiqi Wang +1
In this paper, we propose a novel Multi-granularity Temporal Trajectory Factorization framework for generative human video compression, which holds great potential for bandwidth-co…
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens
Bolin Chen, Shanzhi Yin, Zihan Zhang +5
Recently, deep generative models have greatly advanced the progress of face video coding towards promising rate-distortion performance and diverse application functionalities. Beyo…
Standardizing Generative Face Video Compression using Supplemental Enhancement Information
Bolin Chen, Yan Ye, Jie Chen +12
This paper proposes a Generative Face Video Compression (GFVC) approach using Supplemental Enhancement Information (SEI), where a series of compact spatial and temporal representat…
Tokenizing Motion: A Generative Approach for Scene Dynamics Compression
Shanzhi Yin, Zihan Zhang, Bolin Chen +2
This paper proposes a novel generative video compression framework that leverages motion pattern priors, derived from subtle dynamics in common scenes (e.g., swaying flowers or a b…
High Efficiency Image Compression for Large Visual-Language Models
Binzhe Li, Shurun Wang, Shiqi Wang +1
In recent years, large visual language models (LVLMs) have shown impressive performance and promising generalization capability in multi-modal tasks, thus replacing humans as recei…
Generative Visual Compression: A Review
Bolin Chen, Shanzhi Yin, Peilin Chen +2
Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the acquisition of digital content and impelling the progress of visual compression towar…