David W. Romero
@davidwromero
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Research Scientist @NVIDIA. PhD in Efficient Deep Learning @VUAmsterdam. Prev: @GoogleAI, @Qualcomm, @Merl_news. Opinions my own.
San Francisco, CA
Joined October 2019
Very happy to share my first project at NVIDIA! 🚀 We present Meshtron, a pure Transformer model that consistently reasons over 500k+ tokens to generate 3D meshes of outstanding quality. Webpage: w/ @zekunhao19951 @TsungYiLinCV & @liu_mingyu 🧵
Revolutionize 3D mesh generation with artist-like precision and detail. Meshtron from #NVIDIAResearch creates intricate meshes with up to 64,000 faces at 1024-level resolution. Transform your 3D creations easily and with fine detail. 🎨 ✨ ➡️
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RT @artemmoskalev: AI/ML Internships in Drug Discovery🚨 Our team is hiring PhD research interns for summer 2025 in the US. Come work with…
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@ArnabMondal96 Actually, I should have written: "We all know that AGI was invented in 1991. We just need to wait for somebody else to truly invent it so that Schmidhuber can remind us that he already had invented it" 😆
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Our team is actively recruiting at all levels. Come join us in this exciting journey! 🚀
Our team is actively recruiting at various seniority levels. We’re looking for candidates with deep expertise in video generative models, LLMs, VLMs, large-scale model training, or data processing. Join us in shaping the next generation of Cosmos models for Physical AI!
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I am very happy to be involved in this collaboration. Stay tuned to hear about some cool updates soon! 🔥
Today, Arc announced it is joining forces with @NVIDIAHealth to develop powerful computational tools that will help researchers everywhere explore and understand living systems in ways previously impossible.
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#NVIDIACosmos world foundation model platform was voted Best #AI and Best Overall at #CES2025. 🎉 Read to see how Cosmos is accelerating #physicalAI development and why it's being recognized for its ability to "enable innovators at CES for years to come." 👇
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RT @liu_mingyu: Cosmos is a developer-first platform designed to help physical AI builders accelerate their develop…
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@javilopen Actually, it's even better! You can take a text to 3D, then sample point clouds from the surface, remesh, and voila! 😃
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@javilopen Actually, it's even better! You can take a text to 3D, then sample point clouds from the surface, remesh, and voila! 😃
Results / Remeshing. Meshtron generates meshes of outstanding quality with up to 64k faces. Additionally, Meshtron can be used as a data-driven re-meshing tool, converting poor topologies from 3D scans or X-to-3D services, to beautiful meshes!
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Want to learn more? Webpage: Technical blogpost: Paper:
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