no code implementations • 29 Apr 2024 • Siyuan Xiang, Chin Tseng, Congcong Wen, Deshana Desai, Yifeng Kou, Binil Starly, Daniele Panozzo, Chen Feng
We introduce the first work on benchmarking and evaluating deep clustering algorithms on large-scale non-categorical 3D CAD models.
no code implementations • 5 Apr 2024 • Yurii Piadyk, Giancarlo Pereira, Claudio Silva, Daniele Panozzo
We introduce a novel calibration and reconstruction procedure for structured light scanning that foregoes explicit point triangulation in favor of a data-driven lookup procedure.
no code implementations • CVPR 2024 • Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie
We present Image Sculpting, a new framework for editing 2D images by incorporating tools from 3D geometry and graphics.
1 code implementation • 9 Aug 2021 • Karl Otness, Arvi Gjoka, Joan Bruna, Daniele Panozzo, Benjamin Peherstorfer, Teseo Schneider, Denis Zorin
Simulating physical systems is a core component of scientific computing, encompassing a wide range of physical domains and applications.
1 code implementation • 4 May 2021 • Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or
In the global phase, we propagate the orientation across all coherent patches using a dipole propagation.
1 code implementation • 30 Nov 2020 • Albert Matveev, Ruslan Rakhimov, Alexey Artemov, Gleb Bobrovskikh, Vage Egiazarian, Emil Bogomolov, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
We propose Deep Estimators of Features (DEFs), a learning-based framework for predicting sharp geometric features in sampled 3D shapes.
1 code implementation • 19 Oct 2020 • Ruiqi Ni, Teseo Schneider, Daniele Panozzo, Zherong Pan, Xifeng Gao
Generating locally optimal UAV-trajectories is challenging due to the non-convex constraints of collision avoidance and actuation limits.
Robotics
1 code implementation • 28 Sep 2020 • Bolun Wang, Zachary Ferguson, Teseo Schneider, Xin Jiang, Marco Attene, Daniele Panozzo
We introduce a large scale benchmark for continuous collision detection (CCD) algorithms, composed of queries manually constructed to highlight challenging degenerate cases and automatically generated using existing simulators to cover common cases.
Graphics
1 code implementation • 9 Jul 2020 • Deshana Desai, Etai Shuchatowitz, Zhongshi Jiang, Teseo Schneider, Daniele Panozzo
We demonstrate that our algorithm enables automatic, reliable, and efficient differentiation of common algorithms used in physical simulation and geometry processing.
Mathematical Software Symbolic Computation
no code implementations • 8 Dec 2019 • Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
Voronoi diagrams are highly compact representations that are used in various Graphics applications.
2 code implementations • 9 Aug 2019 • Yixin Hu, Teseo Schneider, Bolun Wang, Denis Zorin, Daniele Panozzo
Our method builds on the TetWild algorithm, replacing the rational triangle insertion with a new incremental approach to construct and optimize the output mesh, interleaving triangle insertion and mesh optimization.
Graphics
no code implementations • NeurIPS 2019 • Francis Williams, Matthew Trager, Claudio Silva, Daniele Panozzo, Denis Zorin, Joan Bruna
We show that the gradient dynamics of such networks are determined by the gradient flow in a non-redundant parameterization of the network function.
1 code implementation • 22 Mar 2019 • Teseo Schneider, Yixin Hu, Xifeng Gao, Jeremie Dumas, Denis Zorin, Daniele Panozzo
The Finite Element Method (FEM) is widely used to solve discrete Partial Differential Equations (PDEs) in engineering and graphics applications.
Numerical Analysis
3 code implementations • CVPR 2019 • Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications.
1 code implementation • CVPR 2019 • Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, Daniele Panozzo
We propose the use of a deep neural network as a geometric prior for surface reconstruction.
1 code implementation • 9 Apr 2018 • Teseo Schneider, Jeremie Dumas, Xifeng Gao, Mario Botsch, Daniele Panozzo, Denis Zorin
We introduce an integrated meshing and finite element method pipeline enabling black-box solution of partial differential equations in the volume enclosed by a boundary representation.
Numerical Analysis Graphics
1 code implementation • CVPR 2018 • Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna
We study data-driven representations for three-dimensional triangle meshes, which are one of the prevalent objects used to represent 3D geometry.