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

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

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Showing cs.GRShow all

6 papers · 1 filter

cs.GR2026

AnySurf: Any Surface Generation with Directed Edge

Wenda Shi, Chenyuan Pan, Dengming Zhang +3

Open surface components prevail in real industrial 3D content and support rendering, physical simulation and geometric editing. Garments serve as a typical open surface type, with…

cs.GR2026

Patchwork: A compact representation for 3D polygonal shapes

Ruichen Zheng, Biao Zhang, Michael Birsak +2

We introduce Patchwork, a new general-purpose shape representation capable of modeling 2D and 3D geometry with a small number of parameters. Patchwork is grounded in a rigorous mat…

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.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.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.GR2021★ 2 cited

Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis

Jing Ren, Biao Zhang, Bojian Wu +4

We propose a novel and flexible roof modeling approach that can be used for constructing planar 3D polygon roof meshes. Our method uses a graph structure to encode roof topology an…