Hsueh-Ti Derek Liu

PhD student, Computer Science, University of Toronto

[Angela Dai @angelaqdai]

📢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: https://t.co/RLGd2iXCwf

[Hsueh-Ti Derek Liu @HTDerekLiu]

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!

[David Baszucki @DavidBaszucki]

SLIM (Scalable Lightweight Interactive Models) is live in Studio Beta, bringing us one step closer to our vision of massive high-fidelity worlds that run on any device. SLIM automatically creates composite 3D assets in the cloud for complex models, and then auto-renders a lightweight version. https://t.co/rUlw0zaIG7

[Peter Yichen Chen @peterchencyc]

Join us at the SIGGRAPH Canada Party hosted by @HTDerekLiu and me, on behalf of Canada Graphics Research! RSVP here: https://t.co/9lkA6K2YhA #SIGGRAPH2025

[Nick Sharp @nmwsharp]

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! 🧵

[Skal @PascalMassimino]

Light version of @PierreTerdiman 's Zero-Byte-BVH here:
https://t.co/VFIBa4bkCx

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!

[Hsueh-Ti Derek Liu @HTDerekLiu]

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

[Selena Ling 凌子涵 @seleniumlzh]

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

[Nicole Feng @nicolefeng_]

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: https://t.co/SMZjWq41f5

[Keenan Crane @keenanisalive]

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:

https://t.co/Ky9vTVX9Ix

[Hsueh-Ti Derek Liu @HTDerekLiu]

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

[Andrea Tagliasacchi @CVPR @taiyasaki]

📢📢📢 "𝐑𝐚𝐝𝐢𝐚𝐧𝐭 𝐅𝐨𝐚𝐦: Real-Time Differentiable Ray Tracing", a mesh-based 3D represention.

https://t.co/wcI6Xj6UHR
https://t.co/JOzRTfkgbl

Co-lead by my PhD students Shrisudhan Govindarajan and Daniel Rebain, and w/ @kwangmoo_yi

[Keenan Crane @keenanisalive]

My superstar student @MarkGillespie64 is on the academic job market 🤩: https://t.co/RkIdE8v57m

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!

[Tianchang Shen @TianchangS]

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: https://t.co/dKdgVWxz8V

Joint work with @mli0603 @MarcTLaw @matanatzmon @FidlerSanja @james_r_lucas @JunGao33210520 @nmwsharp (1/n)

[Nicole Feng @nicolefeng_]

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. <🧵>

[Rohan Sawhney @rohansawhney1]

🔍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: https://t.co/Q36n1kq1VI

Also available on PyPI: pip install fcpw🐍

[Hsueh-Ti Derek Liu @HTDerekLiu]

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

[Hsueh-Ti Derek Liu @HTDerekLiu]

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!!

https://t.co/ESiikMlSSH

[Vismay Modi @vm2358]

(1/n) Happy to share that our paper, "Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulations" will be presented at #SIGGRAPH2024

https://t.co/TxApBUNTcH

[Keenan Crane @keenanisalive]

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!

https://t.co/JYFX4O4LML

[Dr. Anka He Chen @AnkaHeChen]

#SIGGRAPH2024 We present Vertex Block Descent (VBD), the NEXT simulator.:
nearly zero-compromised, fast🚀🚀, massively parallel💻💻, convergent📉📉, and unconditionally stable💎💎.
Project Page: https://t.co/0WrYWSfjEf
Code (coming soon): https://t.co/PxrbgSvHyK