6 papers
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…
LG-HCC: Local Geometry-Aware Hierarchical Context Compression for 3D Gaussian Splatting
Xuan Deng, Xiandong Meng, Hengyu Man +4
Although 3D Gaussian Splatting (3DGS) enables high-fidelity real-time rendering, its prohibitive storage overhead severely hinders practical deployment. Recent anchor-based 3DGS co…
TraceMem: Weaving Narrative Memory Schemata from User Conversational Traces
Yiming Shu, Pei Liu, Tiange Zhang +3
Sustaining long-term interactions remains a bottleneck for Large Language Models (LLMs), as their limited context windows struggle to manage dialogue histories that extend over tim…
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…
Bidirectional Feature-aligned Motion Transformation for Efficient Dynamic Point Cloud Compression
Xuan Deng, Xingtao Wang, Xiandong Meng +4
Efficient dynamic point cloud compression (DPCC) critically depends on accurate motion estimation and compensation. However, the inherently irregular structure and substantial loca…