activity
20242026
most citedCAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025★ 1 cited

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs

Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong +7

Multi-view understanding, the ability to reconcile visual information across diverse viewpoints for effective navigation, manipulation, and 3D scene comprehension, is a fundamental…

cs.CV2024★ 8 cited

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,…

cs.CV2024★ 2 cited

MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning

Chenyu Wang, Weixin Luo, Sixun Dong +4

Recently, the astonishing performance of large language models (LLMs) in natural language comprehension and generation tasks triggered lots of exploration of using them as central…