Search Results for author: Denis Zorin

Found 22 papers, 17 papers with code

An Extensible Benchmark Suite for Learning to Simulate Physical Systems

1 code implementation9 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.

3D Parametric Wireframe Extraction Based on Distance Fields

no code implementations13 Jul 2021 Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev

We present a pipeline for parametric wireframe extraction from densely sampled point clouds.

Unpaired Depth Super-Resolution in the Wild

1 code implementation25 May 2021 Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev

We propose an unpaired learning method for depth super-resolution, which is based on a learnable degradation model, enhancement component and surface normal estimates as features to produce more accurate depth maps.

Depth Map Super-Resolution Image-to-Image Translation +1

Orienting Point Clouds with Dipole Propagation

1 code implementation4 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.

Towards Part-Based Understanding of RGB-D Scans

1 code implementation CVPR 2021 Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai

Recent advances in 3D semantic scene understanding have shown impressive progress in 3D instance segmentation, enabling object-level reasoning about 3D scenes; however, a finer-grained understanding is required to enable interactions with objects and their functional understanding.

3D Instance Segmentation Scene Understanding +1

DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes

1 code implementation30 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.

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans

1 code implementation ECCV 2020 Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Niessner, Denis Zorin, Evgeny Burnaev

Shape retrieval and alignment are a promising avenue towards turning 3D scans into lightweight CAD representations that can be used for content creation such as mobile or AR/VR gaming scenarios.


Geometric Attention for Prediction of Differential Properties in 3D Point Clouds

no code implementations6 Jul 2020 Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev

Estimation of differential geometric quantities in discrete 3D data representations is one of the crucial steps in the geometry processing pipeline.

Surface Reconstruction

Making DensePose fast and light

1 code implementation26 Jun 2020 Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev

DensePose estimation task is a significant step forward for enhancing user experience computer vision applications ranging from augmented reality to cloth fitting.

3D Human Pose Estimation Quantization

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks

1 code implementation CVPR 2021 Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin

We present Neural Splines, a technique for 3D surface reconstruction that is based on random feature kernels arising from infinitely-wide shallow ReLU networks.

Surface Reconstruction

Latent Video Transformer

1 code implementation18 Jun 2020 Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev

After the transformation of frames into the latent space, our model predicts latent representation for the next frames in an autoregressive manner.

Video Generation Video Prediction

Deep Vectorization of Technical Drawings

1 code implementation ECCV 2020 Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev

We present a new method for vectorization of technical line drawings, such as floor plans, architectural drawings, and 2D CAD images.

Fast Tetrahedral Meshing in the Wild

2 code implementations9 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.


Gradient Dynamics of Shallow Univariate ReLU Networks

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.

A Large-Scale Comparison of Tetrahedral and Hexahedral Elements for Solving Elliptic PDEs with the Finite Element Method

1 code implementation22 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

Perceptual deep depth super-resolution

1 code implementation ICCV 2019 Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander Notchenko, Gleb Bobrovskikh, Denis Zorin, Evgeny Burnaev

RGBD images, combining high-resolution color and lower-resolution depth from various types of depth sensors, are increasingly common.


ABC: A Big CAD Model Dataset For Geometric Deep Learning

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.

Poly-Spline Finite Element Method

1 code implementation9 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

Surface Networks

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.

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