5 papers
DiffVC-ONE: Diffusion-based Generative Video Compression with One-Step Video Diffusion Transformer
Wenzhuo Ma, Zhenzhong Chen
Generative video compression can recover rich visual details at low bitrates, but simultaneously achieving high temporal consistency and low inference cost remains challenging. To…
DiffCVE: Diffusion-based Compressed Video Enhancement
Wenqiang Xiao, Wenzhuo Ma, Junxi Zhang +1
Perceptual quality enhancement of severely compressed videos remains challenging due to complex artifact patterns and substantial information loss. Recent diffusion models have dem…
DiffVC-RT: Towards Practical Real-Time Diffusion-based Perceptual Neural Video Compression
Wenzhuo Ma, Zhenzhong Chen
The practical deployment of diffusion-based Neural Video Compression (NVC) faces critical challenges, including severe information loss, prohibitive inference latency, and poor tem…
DiffVC-OSD: One-Step Diffusion-based Perceptual Neural Video Compression Framework
Wenzhuo Ma, Zhenzhong Chen
In this work, we first propose DiffVC-OSD, a One-Step Diffusion-based Perceptual Neural Video Compression framework. Unlike conventional multi-step diffusion-based methods, DiffVC-…
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse
Wenzhuo Ma, Zhenzhong Chen
Recently, foundational diffusion models have attracted considerable attention in image compression tasks, whereas their application to video compression remains largely unexplored.…