51 citations · 53 across the 5 of their papers we have counts for
5 papers
Real2Sim in HOI: Toward Physically Plausible HOI Reconstruction from Monocular Videos
Yubo Zhao, Yujin Chai, Yunao Dong +4
Recovering 4D human-object interaction (HOI) from monocular video is a key step toward scalable 3D content creation, embodied AI, and simulation-based learning. Recent methods can…
Animator-Centric Skeleton Generation on Objects with Fine-Grained Details
Mingze Sun, Cheng Zeng, Jiansong Pei +7
Skeleton generation is essential for animating 3D assets, but current deep learning methods remain limited: they cannot handle the growing structural complexity of modern models an…
WATCH: World-aware Allied Trajectory and pose reConstruction for Camera and Human
Qijun Ying, Zhongyuan Hu, Rui Zhang +5
Reconstructing global human motion from monocular video is fundamental to VR, graphics, and robotics, yet remains ill-posed due to depth ambiguity, motion ambiguity, and the entang…
RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture
Xiaoyu Pan, Bowen Zheng, Xinwei Jiang +4
Optical motion capture (MoCap) is the "gold standard" for accurately capturing full-body motions. To make use of raw MoCap point data, the system labels the points with correspondi…
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Yuan Liu, Cheng Lin, Zijiao Zeng +4
In this paper, we present a novel diffusion model called that generates multiview-consistent images from a single-view image. Using pretrained large-scale 2D diffusion models, rece…