ECCV 2026 Workshop

The Path to Manufacturing:
Evolving 3D Generation to
Intelligent Computer-Aided Design

About

Overview

This workshop explores the intersection of generative AI and industrial engineering, bridging the momentum of generic 3D foundation models with the rigorous demands of manufacturable asset generation.

Recent 3D foundation models (e.g., HunyuanSD, TRELLIS) excel at cross-modal synthesis but lack the geometric precision required for real-world manufacturing. As generative AI expands into physical domains, strict geometric correctness becomes essential — additive manufacturing requires watertight, manifold boundaries for valid toolpaths, and robotic simulations depend on closed solid volumes.

The undeniable backbone of true manufacturability is CAD. Unlike visually-driven formats, CAD relies on a construction history — a strictly ordered parametric sequence of unique operations (extrusion, fillet, etc.). LLMs introduce a paradigm shift by reframing 3D modeling as program synthesis, enabling automation of complex sequential design commands.

Topics of Interest

  • 3D generative models for manufacturing (CAD, B-Rep, meshes)
  • LLMs / MLLMs for parametric CAD generation & editing
  • Multimodal CAD synthesis (image, point cloud, text)
  • Program synthesis for geometric modeling
  • Geometric deep learning on CAD structures
  • Embodied AI and robotics with manufacturable 3D assets
  • Datasets and benchmarks for industrial 3D generation
  • Evaluation metrics for geometric correctness

Keynotes

Invited Speakers

Prof. Hao (Richard) Zhang

Prof. Hao (Richard) Zhang

Simon Fraser University

Prof. Niloy J. Mitra

Prof. Niloy J. Mitra

University College London

Dr. Xin Tong

Dr. Xin Tong

Anuttacon

Competition

Challenge

Three-View Technical Drawing Conditioned B-rep Generation

Participants take an orthographic three-view technical drawing as input and generate the complete corresponding CAD model as a B-rep.

Dataset

9,000-10,000 B-rep files with corresponding orthographic three-view technical drawings. A randomly selected 10% split will be held out as the test set for final evaluation.

Format

Two-stage: 50-day Development Phase (validation set optimization) → Final Phase (blind evaluation on withheld test set).

Coming Soon

Program

Tentative Program

Afternoon session — September 8, 2026  ·  14:00–18:00.

TimeEventDuration
14:00 Opening Remarks 10 min
14:10 Keynote Talk 1 — Invited Speaker 30 min
14:40 Keynote Talk 2 — Invited Speaker 30 min
15:10 Keynote Talk 3 — Invited Speaker 30 min
15:40 Coffee Break 15 min
15:55 Keynote Talk 4 — Invited Speaker 30 min
16:25 Keynote Talk 5 — Invited Speaker 30 min
16:55 Roundtable Panel & Q&A 20 min
17:15 Challenge Presentations — Top 2 Teams (15 min talk + 5 min Q&A each) 40 min
17:55 Closing Remarks 5 min

Team

Organizers

Yi Ma
Yi Ma UC Berkeley / HKU
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Jianfei Cai
Jianfei Cai Monash University
Ligang Liu
Ligang Liu USTC
Qixing Huang
Qixing Huang UT Austin
Young Min Kim
Young Min Kim Seoul National University
Xiang Xu
Xiang Xu Prometheus, Inc.
Yang You
Yang You Stanford University
Yilin Liu
Yilin Liu UCL & Autodesk Research
Dacheng Qi
Dacheng Qi HKU & Shenzhen Loop Area Institute
Jingwei Xu
Jingwei Xu Monash University

Get in Touch

Contact

For inquiries about the workshop or challenge, feel free to reach out.

CW