We are a group of researchers @CarnegieMellon @SCSatCMU studying the interaction between geometry and computer science. (Threads & Insta: geometry.collective)
Pittsburgh, PA
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Announcing the Geometry Processing Worldwide Discord Server: discord.gg/MnTjR3sBsv, hosted by the CMU @GeomCollective!
Anyone and everyone is invited to come discuss all things related to geometry, computation, + more! #GPWW
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Geometry Collective retweeted
@OpenAI's new 4o image generation is pretty amazing.
It also fails on some utterly basic tasks.
Maybe a good metaphor for how easily we can be misled by algorithms based largely on fitting empirical data (i.e., machine learning) rather than deductive reasoning. @UsePenrose
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Geometry Collective retweeted
If you’re interested in generalized signed distance functions but didn’t make it to our SIGGRAPH talk, I’ve recorded my presentation:
piped.video/watch?v=IzBY-jGI…
Look for official code releases in the coming weeks!
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Geometry Collective retweeted
Signed distance functions (SDFs) are fundamental tools in graphics, vision, and physics simulation.
But how do you get a high-quality SDF from messy, real-world input? At #SIGGRAPH2024, we introduced a simple method for turning "broken" geometry into a well-behaved SDF. <🧵>
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Geometry Collective retweeted
🔍Need efficient distance queries for 2D/3D meshes?
Check out FCPW – a user-friendly library in C++ and Python with GPU support! 💻
Get started here: github.com/rohan-sawhney/fcp…
Also available on PyPI: pip install fcpw🐍
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Geometry Collective retweeted
Signed distance functions (SDFs) are an important surface representation, which can be directly visualized via the “sphere tracing” algorithm.
At #SIGGRAPH2024 we showed how to sphere trace a whole new class of surfaces, based on *harmonic functions* rather than SDFs. [1/n]
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Geometry Collective retweeted
If you're at #SIGGRAPH2024, I will be giving a talk on "Repulsive Shells" tomorrow (Thursday) in the Geometry: Editing and Deformation session, which begins at 10:45am in Mile High 2A.
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Need to solve PDEs, and struggle with meshing?
Heard about "Walk on Spheres," but didn't know where to start?
Check out the awesome intro course by @rohansawhney1 and @baileymmiller1, just posted from #SGP2024: piped.video/watch?v=1u-5b492…
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Geometry Collective retweeted
A quick tutorial on polyscope in Python, in just a few tweets from @BrunoLevy01
Bruno has been showing some great experiments this past week combining Polyscope with the excellent #geogram + Graphite, I love it!!
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PSA: If you're making a poster for your #SIGGRAPH2024 talk, these are the dimensions (photo courtesy of Leona Caffey / @siggraph):
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Geometry Collective retweeted
The talk, slides, and code for our SGP graduate school course on MCGP can be found here: rohan-sawhney.github.io/mcgp…
We cover a lot of ground: Monte Carlo integration, differential equations, Brownian motion, and of course walk on spheres, which nicely ties all these topics together!
And finally @rohansawhney1 and Bailey Miller wrap up the 2024 SGP Graduate School by introducing Monte Carlo Geometry Processing! 🎉
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For better or for worse, the @GeomCollective is now also on Threads as geometry.collective: threads.net/@geometry.collec…
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Geometry Collective retweeted
Pretty compelling evidence that spreading out SGP locations beyond Western Europe is good for the growth of our community:
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Heads up that if you’re at #SGP2024 this week, we’ve created a channel on the Geometry Processing Worldwide Discord for folks to chat and coordinate!
Even if you’re not at SGP, there’s a lot of great geometry processing talk happening here:
discord.gg/Y8NwgQfwM4
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Geometry Collective retweeted
Interested in animation? We've created artist tools that directly manipulate *contact areas between objects*, allowing intuitive modeling of contact-rich interactions & automatic pose optimization.
Contact Arjun Lakshmipathy (andrew.cmu.edu/user/aslakshm…) for code!
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Geometry Collective retweeted
Super proud and excited for my student Zoë Marschner, who is one of only 18 recipients of the @HertzFoundation PhD fellowship! 🥳🎉🪅
Zoë has already done some top-notch work in geometry processing, which you can check out here: zoemarschner.com/
We are proud to introduce our 2024 Hertz Fellows! From designing safer artificial intelligence systems to predicting the spread of infectious diseases, these 18 innovators are tackling some of the most pressing challenges facing our nation and the world. hertzfoundation.org/news/her…
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Geometry Collective retweeted
One of my all-time favorite paper titles is "You Can Find Geodesic Paths in Triangle Meshes by Just Flipping Edges" by @nmwsharp and @keenanisalive. The entire core method of the paper is described fully by just the title! We need more papers like this.
nmwsharp.com/research/flip-g…
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Geometry Collective retweeted
Very proud of my group @GeomCollective, for their consistent focus on quality in research.
We have 5 papers at #SIGGRAPH2024, including two Best Paper Awards and one Honorable Mention.
Only 5 and 12 such awards (respectively) are given out total, from a pool of ~840 submissions
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Geometry Collective retweeted
Also proud of my student @MarkGillespie64, who won *yet another* Best Paper (Honorable Mention) for very cool work on solid 3D knitting: markjgillespie.com/Research/…
Altogether, this means @CarnegieMellon Computer Graphics is taking home about 25% of all #SIGGRAPH2024 paper awards…!
Very proud of my group @GeomCollective, for their consistent focus on quality in research.
We have 5 papers at #SIGGRAPH2024, including two Best Paper Awards and one Honorable Mention.
Only 5 and 12 such awards (respectively) are given out total, from a pool of ~840 submissions
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Geometry Collective retweeted
Code for Surface Winding Numbers is out! Input a triangle mesh & a curve on the mesh -> get the winding number function & decomposition of the curve into bounding + nonbounding components.
Works with surfaces and curves of general topology.
C++ code: github.com/nzfeng/SWN
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Geometry Collective retweeted
Our work on Flexicubes mesh extraction was covered by @twominutepapers!!
The method improves mesh quality and feature alignment in 3D optimization & ML pipelines by introducing carefully-chosen additional degrees of freedom for adaptivity. Project led by @TianchangS!
NVIDIA’s New AI: 20% Faster Game Graphics!
piped.video/watch?v=hVKLouJh…
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