3 citations · 9 across the 15 of their papers we have counts for
15 papers
SACHA: Semantic-Aware Compression for 3D Gaussian Head Avatars
Zihan Zhang, Shanzhi Yin, Xinju Wu +5
Animatable 3D Gaussian head avatars offer high-fidelity and flexible facial rendering, but typically require substantial storage and transmission costs for numerous Gaussian primit…
A Lightweight Dual-Mode Optimization for Generative Face Video Coding
Zihan Zhang, Shanzhi Yin, Bolin Chen +3
Generative Face Video Coding (GFVC) achieves superior rate-distortion performance by leveraging the strong inference capabilities of deep generative models. However, its practical…
Rethinking Generative Human Video Coding with Implicit Motion Transformation
Bolin Chen, Ru-Ling Liao, Jie Chen +1
Beyond traditional hybrid-based video codec, generative video codec could achieve promising compression performance by evolving high-dimensional signals into compact feature repres…
Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding
Bolin Chen, Shanzhi Yin, Goluck Konuko +4
The rise of deep generative models has greatly advanced video compression, reshaping the paradigm of face video coding through their powerful capability for semantic-aware represen…
Latent Guidance in Diffusion Models for Perceptual Evaluations
Shreshth Saini, Ru-Ling Liao, Yan Ye +1
Despite recent advancements in latent diffusion models that generate high-dimensional image data and perform various downstream tasks, there has been little exploration into percep…
Pleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence
Bolin Chen, Hanwei Zhu, Shanzhi Yin +5
Generative model based compact video compression is typically operated within a relative narrow range of bitrates, and often with an emphasis on ultra-low rate applications. There…
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…
Generative Face Video Coding Techniques and Standardization Efforts: A Review
Bolin Chen, Jie Chen, Shiqi Wang +1
Generative Face Video Coding (GFVC) techniques can exploit the compact representation of facial priors and the strong inference capability of deep generative models, achieving high…
Semantic Face Compression for Metaverse: A Compact 3D Descriptor Based Approach
Binzhe Li, Bolin Chen, Zhao Wang +2
In this letter, we envision a new metaverse communication paradigm for virtual avatar faces, and develop the semantic face compression with compact 3D facial descriptors. The funda…
End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization
Shurun Wang, Zhao Wang, Shiqi Wang +1
The visual signal compression is a long-standing problem. Fueled by the recent advances of deep learning, exciting progress has been made. Despite better compression performance, e…