4 papers
CodecArena: Codec Quality Assessment via Visual Reinforcement Learning
Jiaye Fu, Weiqi Li, Qiankun Gao +5
Video coding is advancing into the low and ultra-low bitrate regime, driven by end-to-end codecs that replace the hand-crafted pipeline with jointly optimized neural networks and g…
Boosting Neural Video Codec via Scale-Driven Online Flow Refinement
Tiange Zhang, Rongqun Lin, Haocheng Tang +4
Although state-of-the-art neural video codecs (NVCs) have achieved remarkable performance, they suffer from limited generalization when encountering complex motion patterns unseen…
Content Adaptive based Motion Alignment Framework for Learned Video Compression
Tiange Zhang, Xiandong Meng, Siwei Ma
Recent advances in end-to-end video compression have shown promising results owing to their unified end-to-end learning optimization. However, such generalized frameworks often lac…
L-STEC: Learned Video Compression with Long-term Spatio-Temporal Enhanced Context
Tiange Zhang, Zhimeng Huang, Xiandong Meng +3
Neural Video Compression has emerged in recent years, with condition-based frameworks outperforming traditional codecs. However, most existing methods rely solely on the previous f…