activity
20192026
most cited3DILG: Irregular Latent Grids for 3D Generative Modeling

22 citations · 58 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

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.CV2025

BrepGPT: Autoregressive B-rep Generation with Voronoi Half-Patch

Pu Li, Wenhao Zhang, Weize Quan +3

Boundary representation (B-rep) is the de facto standard for CAD model representation in modern industrial design. The intricate coupling between geometric and topological elements…

cs.GR2025

efunc: An Efficient Function Representation without Neural Networks

Biao Zhang, Peter Wonka

Function fitting/approximation plays a fundamental role in computer graphics and other engineering applications. While recent advances have explored neural networks to address this…

cs.CV2025

iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation

Hanxiao Wang, Biao Zhang, Weize Quan +2

This paper propose iFlame, a novel transformer-based network architecture for mesh generation. While attention-based models have demonstrated remarkable performance in mesh generat…

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…

cs.CV2025★ 1 cited

MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Models

Michael Birsak, John Femiani, Biao Zhang +1

Assigning realistic materials to 3D models remains a significant challenge in computer graphics. We propose MatCLIP, a novel method that extracts shape- and lighting-insensitive de…