4 papers · 1 filter
RHINO: Reconstructing Human Interactions with Novel Objects from Monocular Videos
Lixin Xue, Chengwei Zheng, Georgios Paschalidis +4
Reconstructing people, objects, and their interactions in 3D is a long-standing goal for intelligent systems. Often the input is RGB video from a moving camera, making the task ill…
ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos
Zetong Zhang, Manuel Kaufmann, Lixin Xue +2
Creating a photorealistic scene and human reconstruction from a single monocular in-the-wild video figures prominently in the perception of a human-centric 3D world. Recent neural…
GauSTAR: Gaussian Surface Tracking and Reconstruction
Chengwei Zheng, Lixin Xue, Juan Zarate +1
3D Gaussian Splatting techniques have enabled efficient photo-realistic rendering of static scenes. Recent works have extended these approaches to support surface reconstruction an…
Learning Locally Editable Virtual Humans
Hsuan-I Ho, Lixin Xue, Jie Song +1
In this paper, we propose a novel hybrid representation and end-to-end trainable network architecture to model fully editable and customizable neural avatars. At the core of our wo…