ECCV 2026 Workshop
About
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.
Keynotes
Simon Fraser University
University College London
Anuttacon
Competition
Participants take an orthographic three-view technical drawing as input and generate the complete corresponding CAD model as a B-rep.
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.
Two-stage: 50-day Development Phase (validation set optimization) → Final Phase (blind evaluation on withheld test set).
Program
Afternoon session — September 8, 2026 · 14:00–18:00.
Team
Get in Touch
For inquiries about the workshop or challenge, feel free to reach out.
Chenyu Wang
chenyuwang@connect.hku.hk