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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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7 papers · 1 filter

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…

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…

cs.CV2024★ 1 cited

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…