Symposium on Geometry Processing

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Symposium on Geometry Processing

Symposium on Geometry Processing

@GeometryProcess

Symposium on Geometry Processing 2022, Graduate School: July 2-3 Conference: July 4-6 Schedule: https://t.co/r0FVFiQAGL

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Symposium on Geometry Processing
Symposium on Geometry Processing@GeometryProcess·
Start your summer with the latest geometry research at SGP'22! Great keynotes, grad school courses and technical papers! Register now, it's completely free to attend! sgp2022.github.io
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Symposium on Geometry Processing
Symposium on Geometry Processing@GeometryProcess·
Test of time award: As-Rigid-As-Possible Surface Modeling SGP 2007 Olga Sorkine-Hornung and Marc Alexa
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Symposium on Geometry Processing
Symposium on Geometry Processing@GeometryProcess·
SGP 22 has concluded! Thank you every one for attending and see you next year LIVE in Genova for the Geometry Summit. Details will be posted soon!
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Symposium on Geometry Processing retweeté
WiGRAPH
WiGRAPH@wigraphorg·
Sign up for the FREE @GeometryProcess WiGRAPH event, featuring a panel of women in graphics, #research discussions, and networking opportunities 🥳 The panel is open to all researchers, regardless of gender. wigraph.org/events/2022-sg…
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Symposium on Geometry Processing
Symposium on Geometry Processing@GeometryProcess·
Last day at SGP'22! Keynote by Daniele Panozzo @DanielePanozzo, two paper sessions, a WiGraph event @wigraphorg, and finally the closing session where the awards will be announced! Stay tuned for some great geometry content!
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Hao Su Lab
Hao Su Lab@HaoSuLabUCSD·
Prof. Su's talk at SGP'22, "Deep Learning on Point Clouds", is up on YouTube! sgp2022.github.io youtu.be/gm_oW0bdzHs We cover many topics & open problems: scene-level understanding, inverse graphics, equivariant networks, and multi-modal learning w/ image and language!
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Patrick Schmidt
Patrick Schmidt@patr_schm·
At @GeometryProcess 2022, we present TinyAD: A small C++ library for automatic differentiation in geometry processing! TinyAD makes it really easy to experiment with non-linear objectives on meshes by providing automatic access to their gradients and sparse Hessians.
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Janis Born
Janis Born@janisborn·
Happy to finally share this library with the @GeometryProcess community: TinyAD makes it super simple to implement & experiment with non-linear optimization problems on meshes.
Patrick Schmidt@patr_schm

At @GeometryProcess 2022, we present TinyAD: A small C++ library for automatic differentiation in geometry processing! TinyAD makes it really easy to experiment with non-linear objectives on meshes by providing automatic access to their gradients and sparse Hessians.

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Symposium on Geometry Processing
Symposium on Geometry Processing@GeometryProcess·
SGP '22 main conference starts today! We have *two* keynotes by Ligang Liu (USTC) and Caitlin Mueller (MIT Architecture) as well as two excellent paper sessions on Modeling & Mapping and Curves & Features.
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