Senior Research Scientist at NVIDIA Toronto AI Lab. Manager of a subgroup focused on creative applications of AI and accelerating research. Opinions are my own.
Toronto
- Tweets 96
- Following 97
- Followers 436
- Likes 11
Kudos, Chenyue! Way to keep the artist in control.
My first author work with @nvidia is finally out!
🎨 Introducing GLOSS: a new workflow for artist-controlled texturing of fine-detailed 3D geometry.
🧑🎨 Our focus is texturing fine local geometry—especially organic details—and giving artists interactive control over texture selection and the filling process.
#SIGGRAPHAsia2026 #Creatives #GenerativeAI #3D #AI #AIGC
7
275
🦎 Did you know axolotls can regenerate complex body parts, including their brain? 🧠
Our new #AI model 𝗔𝘅𝗼𝗹𝗼𝘁𝗹𝟯𝗗 (#ECCV26) faithfully completes #3D objects from partial views and incomplete point clouds: research.nvidia.com/labs/sil…
Kudos Anita!
#MachineLearning #NVIDIA
1
9
74
5,317
Want to stay rooted in reality 🌍, embrace the power of AI 🤖, and get fully interactive with cutting-edge research and 3D Gaussian Splat captures? 📸✨ Join us at SIGGRAPH: kaolin.readthedocs.io/en/lat…
6
20
2,168
Finally, Gaussians with dynamic shadows! So proud to share:
🎉 Excited to introduce TRON, a relighting framework for 3D captures.
💡TRON pairs a neural renderer with 3D Gaussian reconstructions, achieving realistic quality, with 3D, material, & lighting control at interactive frame rates.
arxiv.org/abs/2606.11314
research.nvidia.com/labs/sil…
7
461
Proud to share great work by @rishit_dagli 🎉
📢want to produce realistic dynamic 3d worlds (with >100 splats)
my new NVIDIA internship project, VoMP, is the first feed forward approach to convert input surface geometry to volumetric sim-ready assets by assigning real world physics materials
🌐Project: research.nvidia.com/labs/sil…
📜Paper: arxiv.org/abs/2510.22975
5
226
See your Gaussian Splats deform and collide under gravity! #NVIDIA Kaolin Library just released v0.18.0. github.com/NVIDIAGameWorks/k…
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.
3
22
2,294
Join us Tuesday night at #SIGGRAPH2025 Real-Time Live show to see interactive painting with Gaussian splat brushes, awesome work (and technical paper) by Karran Pandey presented by him and our inspiring collaborators at the @thenfb!
Come watch not one, but TWO demos real time live 👀
Experience a new way to engage in Gaussian Splatting and how RTX Mega Geometry redefines GPU rendering at #SIGGRAPH2025 👉 nvda.ws/3HeVqfQ
1
6
24
3,049
Masha Shugrina retweeted
📢 GEN3C is now open-sourced, with code released under Apache 2.0 and model weights under the NVIDIA Open Model License!
🚀 Along with it, we're releasing a GUI tool that lets you specify your desired video trajectory in 3D — come play with it and generate your own!
The released model is built on COSMOS-7B, bringing better visual quality, stronger generalization, and longer, more coherent video generation than SVD-based GEN3C.
Heading to #CVPR2025? Stop by our poster — ExHall D, #65, Friday June 13, 2–4 p.m. PDT. Come say hi! 👋
Code: github.com/nv-tlabs/GEN3C
Model: huggingface.co/nvidia/GEN3C-…
🚀Excited to introduce GEN3C #CVPR2025, a generative video model with an explicit 3D cache for precise camera control.
🎥It applies to multiple use cases, including single-view and sparse-view NVS🖼️ and challenging settings like monocular dynamic NVS and driving simulation🚗.
Project page: research.nvidia.com/labs/tor…
1
28
134
10,962
Masha Shugrina retweeted
🚀 We just open-sourced Cosmos DiffusionRenderer!
This major upgrade brings significantly improved video de-lighting and re-lighting—powered by NVIDIA Cosmos and enhanced data curation.
Released under Apache 2.0 and Open Model License. Try it out!
🔗 github.com/nv-tlabs/cosmos1-…
🚀 Introducing DiffusionRenderer, a neural rendering engine powered by video diffusion models.
🎥 Estimates high-quality geometry and materials from videos, synthesizes photorealistic light transport, enables relighting and material editing with realistic shadows and reflections
9
119
515
56,103
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-cvpr25
1
22
44
7,290
Masha Shugrina retweeted
🚀 Introducing DiffusionRenderer, a neural rendering engine powered by video diffusion models.
🎥 Estimates high-quality geometry and materials from videos, synthesizes photorealistic light transport, enables relighting and material editing with realistic shadows and reflections
7
133
618
125,688
Masha Shugrina retweeted
⚡ Ray Tracing + 3D Gaussians = New Possibilities!
Gaussian splatting is limited by rasterization—our #SIGGRAPHAsia2024 paper shows how to ray trace instead, enabling reflections, shadows, fisheye cameras, and more. The most important (and hardest!) part is making it fast. (1/N)
8
108
686
98,321
Masha Shugrina retweeted
Come learn more about Kaolin and Simplicits by playing with interactive physics simulation in a Jupyter notebook tomorrow with @Caenorst and Anita Hu
3
12
875
Today at #SIGGRAPH. Hands-on lab, 2:15pm, Room 709.
Dive Into #3D #DeepLearning #AI, #PhysicsSimulation, and Interactive 3D Prototyping With #NVIDIA Kaolin Library
linkedin.com/pulse/dive-3d-d…
5
150
Join hands-on lab at #SIGGRAPH to learn how to simulate points, 3D gaussian splats, meshes in just a few lines of code and right in your Jupyter notebook. So proud of the Kaolin Library team! 💚 s2024.conference-program.org… Or try today: kaolin.readthedocs.io/en/lat…
✨Just announced: Representation agnostics physics simulation.
➡️ nvda.ws/3SuHUXZ This new framework is now available in the Kaolin Library.
Simulate:
✅Gaussian Splats
✅Neural Radiance Fields
✅Signed Distance Functions and more…
5
20
2,783
If you want to simulate any point sampled geometry in just a few lines of code, this method is available in Kaolin Library pre-release version. Kudos @vm2358 & team. Check out: github.com/NVIDIAGameWorks/k…
(1/n) Happy to share that our paper, "Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulations" will be presented at #SIGGRAPH2024
research.nvidia.com/labs/tor…
5
205
Masha Shugrina retweeted
(1/n) Happy to share that our paper, "Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulations" will be presented at #SIGGRAPH2024
research.nvidia.com/labs/tor…
7
26
93
11,903
Check out this convenience class for handling surface mesh tensor attributes. We hope it's useful and saves you at least some of the headache! #PyTorch #AI #deeplearning #3D
Exciting news for #PyTorch enthusiasts: Our NVIDIA Kaolin library introduces SurfaceMesh class to simplify managing mesh attributes including consistency, auto-compute normals, & streamline indexing.
👀 See the video tutorial from #NVIDIAResearch
➡️ nvda.ws/4aRCi1D
1
5
22
3,649