activity
20242026
collaborators

7 papers

cs.CV2026

SeamGen: Artist-Aligned UV Seam Generation via Graph Flow Matching

Hao Xu, Yuqing Zhang, Yiqian Wu +5

UV seam placement is a critical yet labor-intensive step in 3D content creation, requiring artists to balance chart shape, seam concealment, and alignment with semantic and geometr…

cs.GR2026

MeshTailor: Cutting Seams via Generative Mesh Traversal

Xueqi Ma, Xingguang Yan, Congyue Zhang +1

We present MeshTailor, the first mesh-native generative framework for synthesizing edge-aligned seams on 3D surfaces. Unlike prior optimization-based or extrinsic learning-based me…

cs.GR2025

SeamCrafter: Enhancing Mesh Seam Generation for Artist UV Unwrapping via Reinforcement Learning

Duoteng Xu, Yuguang Chen, Jing Li +5

Mesh seams play a pivotal role in partitioning 3D surfaces for UV parametrization and texture mapping. Poorly placed seams often result in severe UV distortion or excessive fragmen…

cs.GR2025

CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation

Xueqi Ma, Yilin Liu, Tianlong Gao +2

We introduce CLR-Wire, a novel framework for 3D curve-based wireframe generation that integrates geometry and topology into a unified Continuous Latent Representation. Unlike conve…

cs.GR2025

Auto Hair Card Extraction for Smooth Hair with Differentiable Rendering

Zhongtian Zheng, Tao Huang, Haozhe Su +7

Hair cards remain a widely used representation for hair modeling in real-time applications, offering a practical trade-off between visual fidelity, memory usage, and performance. H…

cs.CV2024

GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation

Ruowei Wang, Jiaqi Li, Dan Zeng +4

Generating high-quality meshes with complex structures and realistic surfaces is the primary goal of 3D generative models. Existing methods typically employ sequence data or deform…

cs.CV2024

Generating 3D House Wireframes with Semantics

Xueqi Ma, Yilin Liu, Wenjun Zhou +2

We present a new approach for generating 3D house wireframes with semantic enrichment using an autoregressive model. Unlike conventional generative models that independently proces…