8 papers
AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors
Aymen Mir, Riza Alp Guler, Xiangjun Tang +2
We present AHOY, a method for reconstructing complete, animatable 3D Gaussian avatars from in-the-wild monocular video despite heavy occlusion. Existing methods assume unoccluded i…
MeshLoom: Feed-Forward Non-Rigid Registration of Mesh Sequences
Jianqi Chen, Jiraphon Yenphraphai, Xiangjun Tang +4
We present MeshLoom, a feed-forward registration network that directly reconstructs vertex deformations across mesh sequences. Our approach advances non-rigid registration beyond e…
PoseGAM: Robust Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning
Jianqi Chen, Biao Zhang, Xiangjun Tang +1
6D object pose estimation, which predicts the transformation of an object relative to the camera, remains challenging for unseen objects. Existing approaches typically rely on expl…
Generative Human Geometry Distribution
Xiangjun Tang, Biao Zhang, Peter Wonka
Realistic human geometry generation is an important yet challenging task, requiring both the preservation of fine clothing details and the accurate modeling of clothing-body intera…
Any Resolution Any Geometry: From Multi-View To Multi-Patch
Wenqing Cui, Zhenyu Li, Mykola Lavreniuk +4
Joint estimation of surface normals and depth is essential for holistic 3D scene understanding, yet high-resolution prediction remains difficult due to the trade-off between preser…
Human Geometry Distribution for 3D Animation Generation
Xiangjun Tang, Biao Zhang, Peter Wonka
Generating realistic human geometry animations remains a challenging task, as it requires modeling natural clothing dynamics with fine-grained geometric details under limited data.…