Hsueh-Ti Derek Liu

📢ProcGen3D: Learning Neural Procedural Graphs for Image-to-3D Reconstruction @xinyi092298 learns neural procedural graphs to generate high-fidelity 3D - MCTS-guided sampling maintains consistency with the input image, even from real images! Check it out: xzhang-t.github.io/project/ProcGe…

Hooooray 🙌 Massive kudos to everyone behind it. It’s more than thrilled to see a topic so close to my heart — LOD — evolve from R&D, to prototype, and to a part of SLIM, in the hands of millions of Roblox users everyday!

Join us at the SIGGRAPH Canada Party hosted by @HTDerekLiu and me, on behalf of Canada Graphics Research! RSVP here: lu.ma/epm4b7xp #SIGGRAPH2025

Logarithmic maps are incredibly useful for algorithms on surfaces--they're local 2D coordinates centered at a given source. @yousufmsoliman and I found a better way to compute log maps w/ fast short-time heat flow in "The Affine Heat Method" presented @ SGP2025 today! 🧵

Light version of @PierreTerdiman 's Zero-Byte-BVH here: skal65535.github.io/BVH/ The idea is to order the triangles as a binary tree by groups of 6 triangles, each group defines a bounding box to test. If hit, recurse both half of the remaining triangles. @DaKangz : WebGPU!

@seleniumlzh @merlin_ND @_AlecJacobson @nmwsharp Can't wait to give it a try!!

Our #Siggraph25 work found a simple, nearly one-line change that greatly eases neural field optimization for a wide variety of existing representations. “Stochastic Preconditioning for Neural Field Optimization” w/ @merlin_ND @_AlecJacobson @nmwsharp

I've updated my blog post to walk through the remaining technical details of our Surface Winding Numbers algorithm: now the calculus of the algorithm is explained a bit more in detail. The post, paper, code, etc. is all here: nzfeng.github.io/research/WNoDS…

After many years of giving talks, I no longer get nervous. Instead, I'm now nervous when my students give talks! Fortunately, they do an amazing job. Here's @MarkGillespie64 giving an extended talk on a new *harmonic* surface representation: youtube.com/watch?v=9h13FP…

@taiyasaki @kwangmoo_yi So excited to see this coming out!!

📢📢📢 "𝐑𝐚𝐝𝐢𝐚𝐧𝐭 𝐅𝐨𝐚𝐦: Real-Time Differentiable Ray Tracing", a mesh-based 3D represention. radfoam.github.io arxiv.org/abs/2502.01157 Co-lead by my PhD students Shrisudhan Govindarajan and Daniel Rebain, and w/ @kwangmoo_yi

My superstar student @MarkGillespie64 is on the academic job market 🤩: markjgillespie.com Beyond lots of beautiful, deep, award-winning research in geometry processing, he's just a terrific person who we already miss having around. Twist his arm if you want him to apply!

Generating nice meshes in AI pipelines is hard. Our #SIGGRAPHAsia2024 paper proposes a new representation which guarantees manifold connectivity, and even supports polygonal meshes -- a big step for downstream editing and simulation. (1/N) SpaceMesh: research.nvidia.com/labs/toronto-a… Joint work with @mli0603 @MarcTLaw @matanatzmon @FidlerSanja @james_r_lucas @JunGao33210520 @nmwsharp (1/n)

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. <🧵>

🔍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/… Also available on PyPI: pip install fcpw🐍

@rohansawhney1 Wow this is awesome!! Does this support triangle to triangle distance queries?

Super excited to share the new Roblox Graduate Fellowship program, a 2-year fellowship for PhD students in graphics, machine learning, communications, systems, data science, and economics. The application deadline is August 15, 2024!! gem.com/lp/roblox/ec-r…

(1/n) Happy to share that our paper, "Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulations" will be presented at #SIGGRAPH2024 research.nvidia.com/labs/toronto-a…

Interested in learning about differential geometry and its connection to geometric computing? All material from the @CarnegieMellon course on #DiscreteDifferentialGeometry has been collected in a new webpage (videos, code, exercises, etc.). Check it out! geometry.cs.cmu.edu/ddg

#SIGGRAPH2024 We present Vertex Block Descent (VBD), the NEXT simulator.: nearly zero-compromised, fast🚀🚀, massively parallel💻💻, convergent📉📉, and unconditionally stable💎💎. Project Page: ankachan.github.io/Projects/Verte… Code (coming soon): github.com/AnkaChan/Gaia