1 citations · 4 across the 20 of their papers we have counts for
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HPC: Hierarchical Point-based Latent Representation for Streaming Dynamic Gaussian Splatting Compression
Yangzhi Ma, Bojun Liu, Wenting Liao +3
While dynamic Gaussian Splatting has driven significant advances in free-viewpoint video, maintaining its rendering quality with a small memory footprint for efficient streaming tr…
Hash Grid Feature Pruning
Yangzhi Ma, Bojun Liu, Jie Li +2
Hash grids are widely used to learn an implicit neural field for Gaussian splatting, serving either as part of the entropy model or for inter-frame prediction. However, due to the…
Real-Time Neural Video Compression with Unified Intra and Inter Coding
Hui Xiang, Yifan Bian, Li Li +3
Neural video compression (NVC) technologies have advanced rapidly in recent years, yielding state-of-the-art schemes such as DCVC-RT that offer superior compression efficiency to H…
Scaling Learned Image Compression Models up to 1 Billion
Yuqi Li, Haotian Zhang, Li Li +2
Recent advances in large language models (LLMs) highlight a strong connection between intelligence and compression. Learned image compression, a fundamental task in modern data com…
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Bojun Liu, Yangzhi Ma, Ao Luo +2
Voxel-based methods are among the most efficient for point cloud geometry compression, particularly with dense point clouds. However, they face limitations due to a restricted rece…
Sparse Point Clouds Assisted Learned Image Compression
Yiheng Jiang, Haotian Zhang, Li Li +2
In the field of autonomous driving, a variety of sensor data types exist, each representing different modalities of the same scene. Therefore, it is feasible to utilize data from o…