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20212026
most citedA Cross Channel Context Model for Latents in Deep Image Compression

11 citations · 12 across the 10 of their papers we have counts for

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8 papers · 1 filter

eess.IV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

eess.IV2025

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…

cs.CV2025

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…