1 citations · 1 across the 5 of their papers we have counts for
6 papers
TETRIS-4DGS: Efficient Post-Training Compression of 4D Gaussian Splatting
Chengzhen Wu, Kelei Liu, Sicheng Li +2
4D Gaussian Splatting (4DGS) has emerged as a powerful dynamic scene representation, supporting real-time high quality rendering but suffers from prohibitive storage overhead. Exis…
Shape Adaptation for 3D Hairstyle Retargeting
Lu Yu, Zhong Ren, Youyi Zheng +2
It is demanding to author an existing hairstyle for novel characters in games and VR applications. However, it is a non-trivial task for artists due to the complicated hair geometr…
GSCodec Studio: A Modular Framework for Gaussian Splat Compression
Sicheng Li, Chengzhen Wu, Hao Li +3
3D Gaussian Splatting and its extension to 4D dynamic scenes enable photorealistic, real-time rendering from real-world captures, positioning Gaussian Splats (GS) as a promising fo…
GIFStream: 4D Gaussian-based Immersive Video with Feature Stream
Hao Li, Sicheng Li, Xiang Gao +3
Immersive video offers a 6-Dof-free viewing experience, potentially playing a key role in future video technology. Recently, 4D Gaussian Splatting has gained attention as an effect…
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
Sicheng Li, Hao Li, Yiyi Liao +1
The emergence of Neural Radiance Fields (NeRF) has greatly impacted 3D scene modeling and novel-view synthesis. As a kind of visual media for 3D scene representation, compression w…
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
Xinya Chen, Jiaxin Huang, Yanrui Bin +2
Unsupervised learning of 3D-aware generative adversarial networks has lately made much progress. Some recent work demonstrates promising results of learning human generative models…