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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
    Aug 4, 2023
    Many physical systems are high-dimensional, but we only really care about some low-dimensional subspace. Our latest work shows how to fit these subspaces as small neural maps automatically, *without* any data as input, just the energy function. Read on to learn how! (1/N) 🧵
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    Nick Sharp
    @nmwsharp
    Apr 15, 2020
    Polyscope for Python is now live 🎉 Visualize 3D data like meshes and point clouds with just a few lines of code. Now available on pip and conda. polyscope.run/py
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    Nick Sharp
    @nmwsharp
    Dec 11, 2020
    Finding geodesics on triangle meshes is a classically tricky problem. In new work with @keenanisalive at SIGGRAPH Asia, we discovered that a simple policy of greedily flipping edges provably generates a geodesic path! (1/N) nmwsharp.com/research/flip-…
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    Nick Sharp
    @nmwsharp
    Feb 12, 2022
    📢Hot off the presses: we present **DiffusionNet** for simple and scalable deep learning on surfaces. The networks generalize by construction across different samplings, resolutions, and even representations. Spatial support is automatically optimized as a parameter! 🧵👇 (1/N)
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    Nick Sharp
    @nmwsharp
    Feb 24, 2023
    This function has saved me many hours of debugging tensor shapes and dtypes in python code. It's a battle-hardened one-liner to print a table of names and properties. gist.github.com/nmwsharp/54d04… Works for #numpy, #pytorch, #jax and probably others. Try it out!
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    Nick Sharp
    @nmwsharp
    Jul 24, 2019
    Check out the fast-forward preview for our SIGGRAPH 2019 paper "The Vector Heat Method"! We found a way to parallel transport vector fields with heat flow, and it opens up awesome applications. Talk is Wed July 31 at 11:30 in Room 153. With @yousufmsoliman and @keenanisalive.
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    Nick Sharp
    @nmwsharp
    Feb 17, 2021
    Point cloud code releases in #geometrycentral C++, with Python bindings on pip! Fast computation of geodesic distance, nearest-geodesic-neighbor interpolation, parallel transport, and the logarithmic map. (C++) geometry-central.net/pointcloud/alg… (Python) github.com/nmwsharp/potpo… (1/4)
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    Nick Sharp
    @nmwsharp
    Jul 18, 2022
    Some very exciting career news: I've joined @NVIDIA as a scientist to work on the future of 3D geometry, machine learning, and visual computing with @FidlerSanja and many other brilliant folks! Can't wait to share what we create 🚀(1/2)
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    Nick Sharp
    @nmwsharp
    Jul 15, 2021
    Defending my PhD thesis today, wish me luck! 🔬🎓🐍 first day of 1st grade vs. last day of 23rd grade
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    Nick Sharp
    @nmwsharp
    Feb 9, 2022
    It's paper reviewing season! Here are 9 tips that have helped me grow as a better reviewer---we never get taught this formally, but it's extremely important for our community. 🧵👇
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    Nick Sharp
    @nmwsharp
    Aug 10, 2020
    At @eccvconf, Maks Ovsjanikov and I are presenting PointTriNet, a learned, differentiable method for 3D point set triangulation! Our scheme has exciting potential for geometric deep learning, enabling networks to directly output triangle meshes of arbitrary connectivity. (1/n)
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    Nick Sharp
    @nmwsharp
    Aug 3, 2022
    Putting neural implicit surfaces to work demands standard queries like ray casting, intersection, mesh extraction, closest points, and more---we developed a new fast & accurate method! Check out this work with @_AlecJacobson, at SIGGRAPH 2022 (w/ a Best Paper award!) 🧵👇 1/N
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    Nick Sharp
    @nmwsharp
    Apr 9, 2021
    Just added some new python bindings for fast computation of geodesic paths! Input is two vertices, output is a geodesic polyline on the surface. This uses the new edge flip geodesic algorithm from our siggraph asia paper (w/ @keenanisalive). docs: github.com/nmwsharp/potpo…
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