31 citations · 83 across the 18 of their papers we have counts for
18 papers
AvatarPose: Avatar-guided 3D Pose Estimation of Close Human Interaction from Sparse Multi-view Videos
Feichi Lu, Zijian Dong, Jie Song +1
Despite progress in human motion capture, existing multi-view methods often face challenges in estimating the 3D pose and shape of multiple closely interacting people. This difficu…
MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild
Zeren Jiang, Chen Guo, Manuel Kaufmann +4
We present MultiPly, a novel framework to reconstruct multiple people in 3D from monocular in-the-wild videos. Reconstructing multiple individuals moving and interacting naturally…
4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations
Wenbo Wang, Hsuan-I Ho, Chen Guo +5
The studies of human clothing for digital avatars have predominantly relied on synthetic datasets. While easy to collect, synthetic data often fall short in realism and fail to cap…
WANDR: Intention-guided Human Motion Generation
Markos Diomataris, Nikos Athanasiou, Omid Taheri +3
Synthesizing natural human motions that enable a 3D human avatar to walk and reach for arbitrary goals in 3D space remains an unsolved problem with many applications. Existing meth…
RHOBIN Challenge: Reconstruction of Human Object Interaction
Xianghui Xie, Xi Wang, Nikos Athanasiou +17
Modeling the interaction between humans and objects has been an emerging research direction in recent years. Capturing human-object interaction is however a very challenging task d…
FLARE: Fast Learning of Animatable and Relightable Mesh Avatars
Shrisha Bharadwaj, Yufeng Zheng, Otmar Hilliges +2
Our goal is to efficiently learn personalized animatable 3D head avatars from videos that are geometrically accurate, realistic, relightable, and compatible with current rendering…