New #ICCV2025 paper: ✨ Aligning Constraint Generation with Design Intent in Parametric CAD ⚙️
We apply post-training techniques to the task of generating engineering sketch constraints found in parametric CAD, using a constraint solver for verifiable rewards.
At #ICML this week @SamXu03799145 will present our latest work that generates solid CAD models in a controllable manner. Check out the tweet below for details!
In our latest #ICML2023 paper "Hierarchical Neural Coding for Controllable CAD Model Generation" https://t.co/qQcJt91zgm, we learn the design intent from different CAD hierarchies in a self-supervised manner, and demonstrate its application on multiple tasks e.g. autocomplete.
Latest interview in the CDFAM speaker series with @KarlDD on his AI research at Autodesk. https://t.co/6xmbtdA0RO
Karl will be speaking more about his work at the Autodesk Research AI Lab at CDFAM NYC June 14-15.
Register to attend, today (May 15th) is th…https://t.co/KkyLgw3ONW
Interested in an internship at Autodesk Research? We have three ML roles for Summer 2023 in SF and Toronto.
Data Acquisition and ML Research
https://t.co/mJ76R8E2Fh
Large Language Models
https://t.co/DXHPTlCNUM
Machine Learning Research
https://t.co/jJc1YEAK6U
An automated way to assemble thousands of objects: A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies. https://t.co/imi4XPC2sn
If you are attending SIGGRAPH Asia check out our talk during the “Computer-Aided Design” session: Wed Dec 7, 17:00-18:30 KST. I'll be there and happy to meet with anyone!
Our latest collaboration with @MIT_CSAIL and @TAMU led by @YunshengTian will be presented at SIGGRAPH Asia today!
We want to make it easier to assemble objects AND to disassemble them for end-of-life recycling and part reuse.
If you are at #NeurIPS2022 this week, check out some of the work the Autodesk AI Lab team has been doing on robustness, evaluating graph generative models, and communicating natural programs!
AI-powered design tools are essential to Autodesk’s future offerings, and the work being published by the AI Lab at top-tier AI conferences gives us a glimpse into the future of design.
https://t.co/QkPeB9v2vI
want to get into program synthesis but don't know how to started? I wrote a minimalist intro to modern program synthesis that can help you -- from problem formulation to generating code by fine-tuning llm on huggingface.
https://t.co/tzPHmzoQh3
Collage is a whole lot of fun! Chatting to @_joelsimon and @ev_ancasey was even more so. Super cool/smart team making progress on the grand challenge of how we interact with AI to create.
We’re hard at work on a new way to make generative art, and are excited to share our first prototype!
Create any scene you can imagine with a simple collage and a prompt.
Try it out! https://t.co/rWd5JK2ES1
📢 We are hiring in the Autodesk AI Lab. Doubling down on what @adam_gaier said, for all those folks that are mission driven to create tools for designing better buildings, cars, devices etc and want to use AI/ML to make it happen.
Fun collaboration between the Autodesk AI Lab and @jiajunwu_cs lab at Stanford! Learning to assemble (and also disassemble) is both technically challenging and impactful for manufacturing efficiency and ensuring products don't have a negative impact at end-of-life.
🧠 AI for Visual LEGO Manual to a Machine-Executable Plan 🧠
👉 The authors present a novel learning-based framework, the Manual-to-Executable-Plan Network (MEPNet), which reconstructs the assembly steps from a sequence of manual images. 🧵👇
For folks who are still at #ICML2022 I'll be giving a talk today at the Workshop on Machine Learning for Computational Design. Exciting line up!
https://t.co/gQ2bWlUYMy
https://t.co/OrhHMOb0Xz