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Nick Sharp
@nmwsharp
3D geometry researcher: graphics, vision, 3D ML, etc | Senior Research Scientist @NVIDIA | running, hockey, baking, & cheesy sci fi | opinions my own | he/him
Seattle, WA
nmwsharp.com
Joined May 2018
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    Nick Sharp
    @nmwsharp
    Jul 30, 2021
    Giant new v1.2 release of Polyscope! Adds support for tet & hex meshes, transparency, ground shadows, slice planes, variable-size points, setting camera views, and more. Try Polyscope for easy 3D visualization in C++ & Python: polyscope.run Thread of new features! 1/n
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    Nick Sharp
    @nmwsharp
    May 29
    Visual reconstruction started with meshes, then NeRFs, and now Gaussian Splats. We went through the same with physical reduced order models: from classic tet meshes, to neural fields, and ultimately a careful particle-based method that gets the best of all worlds. Check it out!
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    Donglai Xiang
    @DonglaiXiang
    May 29
    Excited to share FreeForm☁️: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes at #CVPR2026 FreeForm enables fast elastodynamic simulation for robotics and beyond, directly on messy data (no mesh needed)!
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    Nick Sharp
    @nmwsharp
    May 7
    This summer I'll be speaking at LOGML, a program on geometry & learning in London! Come find out how the discrete structure of 3D data meets the tools and techniques of ML 🚀 Applications to the program are still open for a few more days, check it out!
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    LOGML Summer School
    @LogmlSchool
    Apr 10
    📣 Participant Applications Open: LOGML’26, Imperial College London (13–17 July) A week on geometry/topology + ML talks, tutorials, projects & networking. 👩‍🎓 Students/PhD/Postdocs 💰 Limited fee waivers & travel support 🗓 Deadline: 1 May 2026 🔗 Apply: forms.gle/RjxJHCdKVJF41V…
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    Nick Sharp
    @nmwsharp
    Apr 15
    Check out our Lyra2.0 for generating virtual worlds! The key is combining representations---the generative prior is a video model, but we leverage explicit 3D to scale to large scenes and support physical interaction. Huge kudos to @TianchangS and @xuanchi13 who led the effort.
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    NVIDIA AI Developer
    NVIDIA
    @NVIDIAAIDev
    Apr 15
    Today, we released Lyra 2.0, a framework for generating persistent, explorable 3D worlds at scale, from NVIDIA Research. Generating large-scale, complex environments is difficult for AI models. Current models often “forget” what spaces look like and lose track of movement over
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