8 citations · 9 across the 5 of their papers we have counts for
6 papers
Scaling Versatile 3D Assets Editing with a Million-Scale Dataset
Badi Li, Tianxin Huang, Yu Zhou +3
Although recent 3D generative models produce increasingly realistic assets, controllable 3D asset editing remains challenging. Existing methods are limited by scarce training data,…
Pointer-CAD v2: Plan-Then-Construct CAD Generation with Dimension-Aware Parametric Precision
Dacheng Qi, Chenyu Wang, Jingwei Xu +2
Computer-aided design (CAD) plays a fundamental role in modern manufacturing by providing the high precision required for industrial production. Recent large language model based a…
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…
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…
Recollection from Pensieve: Novel View Synthesis via Learning from Uncalibrated Videos
Ruoyu Wang, Yi Ma, Shenghua Gao
Currently almost all state-of-the-art novel view synthesis and reconstruction models rely on calibrated cameras or additional geometric priors for training. These prerequisites sig…
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,…