2 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
SANR: Scene-Aware Neural Representation for Light Field Image Compression with Rate-Distortion Optimization
Gai Zhang, Xinfeng Zhang, Lv Tang +3
Light field images capture multi-view scene information and play a crucial role in 3D scene reconstruction. However, their high-dimensional nature results in enormous data volumes,…
MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion
Jun Zhu, Xinfeng Zhang, Lv Tang +1
Implicit Neural representations (INRs) have emerged as a promising approach for video compression, and have achieved comparable performance to the state-of-the-art codecs such as H…
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression
Jia Wang, Xinfeng Zhang, Gai Zhang +3
Implicit Neural Representations (INRs) have demonstrated significant potential in video compression by representing videos as neural networks. However, as the number of frames incr…
CANeRV: Content Adaptive Neural Representation for Video Compression
Lv Tang, Jun Zhu, Xinfeng Zhang +3
Recent advances in video compression introduce implicit neural representation (INR) based methods, which effectively capture global dependencies and characteristics of entire video…
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution
Hongyu An, Xinfeng Zhang, Shijie Zhao +2
Due to storage and bandwidth limitations, videos transmitted over the Internet often exhibit low quality, characterized by low-resolution and compression artifacts. Although video…