
Symposium on Geometry Processing
@GeometryProcess
Symposium on Geometry Processing 2022, Graduate School: July 2-3 Conference: July 4-6 Schedule: https://sgp2022.github.io/images/SGP_2022_Program.pdf
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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
All the streamed content of SGP'22 is available here youtube.com/channel/UCVcpk… The papers are available here: diglib.eg.org/handle/10.2312… See you in Genova in 2023!
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…
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!

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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YouTube
[SGP-2022] Deep Learning on Point Clouds
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.

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.
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.

Keynote by Angela Dai (TU Munich): "Towards Structured Geometric Understanding for 3D Perception", streaming now here: youtube.com/watch?v=qeM-wq…
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YouTube
SGP 2022 - Day 2
Join us for the second day of SGP! Keynote by Angela Dai @angelaqdai, two paper sessions, townhall and a social event! Streaming here: youtube.com/channel/UCVcpk…

👉 Dans le cadre de la Graduate School SGP 2022, @nmellado0, chargé de recherche @CNRS à l'IRIT, est intervenu sur le concept de #réplicabilité en #informatique graphique. Retrouvez notre interview pour en savoir plus sur le sujet ↪️ irit.fr/le-concept-de-…

Have you ever wondered what a tiger with a hippo's head could look like? In our work arxiv.org/abs/2108.02161 presented at #SGP2022 @GeometryProcess, we try to answer this and similar questions. A work with: Simone Melzi, Umberto Castellani, @_R_Marin_, @EmanueleRodola

Today at @GeometryProcess I will present our paper on how to efficiently trace Bézier curves on surface meshes. This is a joint work with @nazzarogiacomo , @Xelatihy, @Enrico_Puppo. See you there!

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.

Great talks yesterday in the graduate school! All are available on the YouTube channel: youtube.com/channel/UCVcpk…
Thank you all for following our talk on Replicability in Computer Graphics at the SGP Graduate School. Direct link to the talk: youtu.be/NKYgiLHmysQ Contribute by evaluating the replicability of papers at replicability.graphics @dcoeurjo @GeometryProcess
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Replicability in Computer Graphics - SGP 2022 Graduate School
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