most citedGenerative Human Geometry Distribution

1 citations · 1 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.GR2025

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.…

cs.CV2025

LumiX: Structured and Coherent Text-to-Intrinsic Generation

Xu Han, Biao Zhang, Xiangjun Tang +2

We present LumiX, a structured diffusion framework for coherent text-to-intrinsic generation. Conditioned on text prompts, LumiX jointly generates a comprehensive set of intrinsic…

cs.CV2025

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…

cs.GR2025

V2M4: 4D Mesh Animation Reconstruction from a Single Monocular Video

Jianqi Chen, Biao Zhang, Xiangjun Tang +1

We present V2M4, a novel 4D reconstruction method that directly generates a usable 4D mesh animation asset from a single monocular video. Unlike existing approaches that rely on pr…

cs.CV2025★ 1 cited

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…