3 papers
cs.GR2025
LoDAvatar: Hierarchical Embedding and Selective Detail Enhancement for Adaptive Levels of Detail Gaussian Avatars
Xiaonuo Dongye, Hanzhi Guo, Le Luo +5
With the advancement of virtual reality, the demand for 3D human avatars is increasing. The emergence of Gaussian Splatting technology has enabled the rendering of Gaussian avatars…
cs.GR2025
STGA: Selective-Training Gaussian Head Avatars
Hanzhi Guo, Yixiao Chen, Dongye Xiaonuo +3
We propose selective-training Gaussian head avatars (STGA) to enhance the details of dynamic head Gaussian. The dynamic head Gaussian model is trained based on the FLAME parameteri…
cs.CV2024
Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold
Jiayi Zhao, Dongdong Weng, Qiuxin Du +1
Human motion generation involves creating natural sequences of human body poses, widely used in gaming, virtual reality, and human-computer interaction. It aims to produce lifelike…