3 citations · 4 across the 13 of their papers we have counts for
10 papers · 1 filter
CADC: Content Adaptive Diffusion-Based Generative Image Compression
Xihua Sheng, Lingyu Zhu, Tianyu Zhang +3
Diffusion-based generative image compression has demonstrated remarkable potential for achieving realistic reconstruction at ultra-low bitrates. The key to unlocking this potential…
Sparse2Dense: A Keypoint-driven Generative Framework for Human Video Compression and Vertex Prediction
Bolin Chen, Ru-Ling Liao, Yan Ye +5
For bandwidth-constrained multimedia applications, simultaneously achieving ultra-low bitrate human video compression and accurate vertex prediction remains a critical challenge, a…
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…
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…
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning
Lingyu Zhu, Xiangrui Zeng, Bolin Chen +3
By optimizing the rate-distortion-realism trade-off, generative image compression approaches produce detailed, realistic images instead of the only sharp-looking reconstructions pr…
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…
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…
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…