1 citations · 1 across the 4 of their papers we have counts for
5 papers
Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
Gaochao Song, Haohan Weng, Luo Zhang +2
Autoregressive (AR) modeling has recently achieved remarkable progress in native 3D mesh generation, largely due to its natural ability to handle variable-length, discrete data str…
Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection
Dacheng Qi, Chenyu Wang, Jingwei Xu +6
Constructing computer-aided design (CAD) models is labor-intensive but essential for engineering and manufacturing. Recent advances in Large Language Models (LLMs) have inspired th…
Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
Gaochao Song, Zibo Zhao, Haohan Weng +3
Existing auto-regressive mesh generation approaches suffer from ineffective topology preservation, which is crucial for practical applications. This limitation stems from previous…
CUPID: Generative 3D Reconstruction via Joint Object and Pose Modeling
Binbin Huang, Haobin Duan, Yiqun Zhao +3
We introduce Cupid, a generative 3D reconstruction framework that jointly models the full distribution over both canonical objects and camera poses. Our two-stage flow-based model…
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
Jingwei Xu, Chenyu Wang, Zibo Zhao +3
This paper aims to design a unified Computer-Aided Design (CAD) generation system that can easily generate CAD models based on the user's inputs in the form of textual description,…