Introducing Particulate: a feed-forward model for 3D object articulation 💻✂️👓🧳 Particulate gives you a fully articulated 3D object, including part segmentation, kinematic structure & motion constraints, in a single forward pass in ~10secs. 🏅SOTA performance! 💡GenAI compatible: Turns AI-generated 3D meshes into fully articulated models! Project page: ruiningli.com/particulate Code: github.com/RuiningLi/particu…

CAMEL-AI Live Talk this Friday 🚨 "Articraft: An Agentic System for Scalable Articulated 3D Asset Generation" by Matt Zhou @Mattzh1314 (Visiting Researcher at the University of Cambridge) Articraft is a system for generating 3D articulated assets at scale. It leverages a custom agentic harness with geometric validation built in, and a LLM-friendly 3D design library to achieve this. Tuning for a blend of both realism and cost-effectiveness, Matt and his team use Articraft to create a large 10k scale dataset of articulated objects, and study using this data to improve existing models and unlock downstream applications in robotic simulation and VR. Paper link: arxiv.org/html/2605.15187v1 🗓 May 29 · 8:00 PT / 16:00 BST 🔗 Register for Live Talk: forms.gle/K1drb9ao5QQmhB6z8

This is an amazing project led by @Mattzh1314. I thought LLMs could already code 3D, but I did not expect such realistic, complex, and fine-grained articulation generation. It completely changed my view of 3D agents — this could be a major step toward real industrial agents.

When we started this project, the goal was to augment training data for Particulate (ruiningli.com/particulate). Then @Mattzh1314 kept adding magic to the agent, and at some point we were debating: do we still need neural generators for 3d design, or should we go all in on agents?

Check out Ariticraft 🦾 - a highly efficient agentic system that generates articulated 3D assets fully automatically at scale! 🚀 articraft3d.github.io/

Particulate Feed-Forward 3D Object Articulation

I'm looking for two PhD students to join our team at Cambridge to work on 3D/4D modeling in various domains including generative media, robotics, and biology. Apply to the PhD in Engineering program by December 2 ⌛️: postgraduate.study.cam.ac.uk…

DSO will be presented at @ICCVConference. - I will give an oral presentation at the gDT (generating Digital Twins) workshop at 9:30am Mon Oct 20 in Room 319A. Poster sessions: - AI3DCC workshop: 10-11am Mon Oct 20. - Main conference: 2:45-5:00pm Tue Oct 21. I'm particularly interested in how physically sound 3D generation could help embodied AI, VLM spatial reasoning and egocentric perception. If you share this interest, let's chat!

Got this little, cute humanoid robot to do cartwheels. Shout out to my mentor and the team at Light Robotics (a startup in China) 🤸‍♂️

Chuanxia is amazing! He pays great attention to details and also gives students flexibility to explore. Lucky to be able to learn from him over the past 2 years! Personally, I’m bullish on foundation vision models with physical prior (whatever that means) to unlock more capabilities of embodied agents. Accurate reconstruction of 3D worlds enables efficient evaluation and post-training of robotic policies. If you are interested in such topics, consider applying to Chuanxia’s new lab!