11 citations · 12 across the 10 of their papers we have counts for
13 papers
From Scattered Gaussians to Structured Maps: Efficient Gaussian Splatting Coding via Dual-phase Morton Sorting
Bolin Chen, Shanzhi Yin, Ru-Ling Liao +2
3D Gaussian Splatting (3DGS) enables high fidelity novel view synthesis but suffers from excessive storage and bandwidth requirements due to its unstructured representation. To add…
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…
Towards Efficient 3D Gaussian Human Avatar Compression: A Prior-Guided Framework
Shanzhi Yin, Bolin Chen, Xinju Wu +4
This paper proposes an efficient 3D avatar coding framework that leverages compact human priors and canonical-to-target transformation to enable high-quality 3D human avatar video…
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…
VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results
Dasong Li, Sizhuo Ma, Hang Hua +40
This paper presents an overview of the VQualA 2025 Challenge on Engagement Prediction for Short Videos, held in conjunction with ICCV 2025. The challenge focuses on understanding 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…
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…
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…
Compressing Human Body Video with Interactive Semantics: A Generative Approach
Bolin Chen, Shanzhi Yin, Hanwei Zhu +6
In this paper, we propose to compress human body video with interactive semantics, which can facilitate video coding to be interactive and controllable by manipulating semantic-lev…
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…
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…
A Cross Channel Context Model for Latents in Deep Image Compression
Changyue Ma, Zhao Wang, Ruling Liao +1
This paper presents a cross channel context model for latents in deep image compression. Generally, deep image compression is based on an autoencoder framework, which transforms th…