Masha Shugrina

@_shumash

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

shumash.com

Replies Reposts Media

Masha Shugrina
@_shumash
Jul 28
🦎 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/proje… Kudos Anita! #MachineLearning #NVIDIA
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Masha Shugrina
@_shumash
Jul 17
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/latest/note…
Masha Shugrina
@_shumash
Jun 29
Finally, Gaussians with dynamic shadows! So proud to share:
Or Perel
@OrPerel
Jun 29
🎉 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/proje…
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Masha Shugrina
@_shumash
Apr 8
🚀 𝗖𝗼𝗱𝗲, 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗱𝗮𝘁𝗮 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲! Convert meshes, Gaussian Splats and more to 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗮𝘀𝘀𝗲𝘁𝘀 with 𝗩𝗼𝗠𝗣 (ICLR2026) — the first feed-forward model to predict fine mechanical properties throughout 3D object volume. See👇
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Masha Shugrina
@_shumash
Nov 3, 2025
Proud to share great work by @rishit_dagli 🎉
rishit dagli
@rishit_dagli
Oct 30, 2025
📢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:
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