Our CDTs (Centers for Doctoral Training) are great program-based opportunities for fully-funded PhD positions. Specifically, consider the Machine-Learning CDT: mlsystems.uk If you are interested and specifically want to work with me on ML+geometry, contact me!

We found a way to generate manifold, polygonal meshes from feature vectors at points -- even if the vectors are random, you are still guaranteed to get a manifold mesh! How? Halfedge meshes, permutations, spacetimes, and more! Check out the 🧵. This project was a blast!

Interested in generating meshes using generative models? Our latest paper, SpaceMesh, tackles this challenge by focusing on directly creating manifold meshes. Super thrilled to be part of this amazing team! Check out the details below ⬇️

New link! This one is specific to my team. If you applied at the original link, no need to re-apply. nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx… (note: the location listed in the posting is Toronto, but applicants are encouraged from anywhere)

🎉Khronos Group launched the Slang Initiative, featuring an #opensource compiler provided by NVIDIA. ➡️ khronos.org/news/press/khr… This initiative aims to enhance GPU shader development by offering advanced language features that improve productivity and portability. Open

Announcing SGI 2025! Undergrads and MS students: Apply for 6 weeks of paid summer geometry processing research. No experience needed: 1 week tutorials + 5 weeks of projects. Mentors are top researchers in this emerging branch of graphics/computing/math. sgi.mit.edu

🚀Excited to release PartField—a feedforward model that learns part-based feature fields for 3D shapes! It enables lightning-fast⚡️, robust, open-world hierarchical 3D part seg and unlocks cross-shape applications like co-seg and correspondence! 🔗shorturl.at/HnUmc 1/n

FlexiCubes is now under Apache 2.0! 🎉 We've been excited to see FlexiCubes extracting high-quality meshes across the community in projects like TRELLIS and TripoSF --- now it's available with a more permissive license. Let's keep building. 💙 👉 Flexicubes is in NVIDIA

In geometry, half our algorithms are "just" Laplacians/smoothness/heat flow under the hood. In ML, half our techniques are "just" adding noise in the right place. Unsurprisingly, these two tools work great together. Check out Selena's research on 3D neural fields to see how!

Curious about 3D Gaussians, simulation, rendering and the latest from #NVIDIA? Come to the NVIDIA Kaolin Library live-coding session at #CVPR2025, powered by a cloud GPU reserved especially for you. Wed, Jun 11, 8-noon. Bring your laptop! tinyurl.com/nv-kaolin-cvpr…

Sampling points on an implicit surface is surprisingly tricky, but we know how to cast rays against implicit surfaces! There's a classic relationship between line-intersections and surface-sampling, which turns out to be quite useful for geometry processing.

Also: this paper was recognized with a best paper award at SGP! Huge thanks to the organizers & congrats to the other awardees. I was super lucky to work with Yousuf Soliman on this one, he's truly the mastermind behind it all!

While making some figures for SGI* this year, I made some "behind the scenes" footage of how they get made: youtube.com/playlist?list=… Basically a video extension of cs.cmu.edu/~kmcrane/faq.h… ("figures?") *SGI is a great program run by Justin Solomon & deserves more funding

New at #SIGGRAPH2025: Can we make Perlin Noise stretch along some underlying vector field? Well it turns out it's possible with two simple additions to the original method! No need for advection or convolutions. Find the paper and implementations here: github.com/jakericedesign…

See your Gaussian Splats deform and collide under gravity! #NVIDIA Kaolin Library just released v0.18.0. github.com/NVIDIAGameWork… Join us at #SIGGRAPH tomorrow Sunday, Aug 10, Room 121-122 for a hands-on lab showcasing this and an intro to NVIDIA Warp, used under the hood.