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09/09/2023
Neural Semantic Surface Maps
We present an automated technique for computing a map between two genus-...
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08/10/2023
Neural Progressive Meshes
The recent proliferation of 3D content that can be consumed on hand-held...
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06/05/2023
Zero-shot CAD Program Re-Parameterization for Interactive Manipulation
Parametric CAD models encode entire families of shapes that should, in p...
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04/26/2023
TextDeformer: Geometry Manipulation using Text Guidance
We present a technique for automatically producing a deformation of an i...
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12/13/2022
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization
We present a neural technique for learning to select a local sub-region ...
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10/19/2022
Self-Supervised Representation Learning for CAD
The design of man-made objects is dominated by computer aided design (CA...
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07/24/2022
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation
This paper introduces a data-driven shape completion approach that focus...
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06/13/2022
Learning Joint Surface Atlases
This paper describes new techniques for learning atlas-like representati...
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05/05/2022
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes
This paper introduces a framework designed to accurately predict piecewi...
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04/05/2022
Neural Convolutional Surfaces
This work is concerned with a representation of shapes that disentangles...
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01/28/2022
Möbius Convolutions for Spherical CNNs
Möbius transformations play an important role in both geometry and spher...
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01/28/2022
Learning Proximal Operators to Discover Multiple Optima
Finding multiple solutions of non-convex optimization problems is a ubiq...
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11/12/2021
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases
We propose a method for unsupervised reconstruction of a temporally-cons...
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05/25/2021
AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies
Assembly modeling is a core task of computer aided design (CAD), compris...
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04/14/2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
We propose a method for the unsupervised reconstruction of a temporally-...
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04/08/2021
Field Convolutions for Surface CNNs
We present a novel surface convolution operator acting on vector fields ...
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01/19/2021
Joint Learning of 3D Shape Retrieval and Deformation
We propose a novel technique for producing high-quality 3D models that m...
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08/01/2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Point clouds provide a compact and efficient representation of 3D shapes...
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07/20/2020
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling
We propose a novel neural architecture for representing 3D surfaces, whi...
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05/04/2020
Neural Subdivision
This paper introduces Neural Subdivision, a novel framework for data-dri...
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03/19/2020
Affinity Graph Supervision for Visual Recognition
Affinity graphs are widely used in deep architectures, including graph c...
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10/04/2019
Neural Puppet: Generative Layered Cartoon Characters
We propose a learning based method for generating new animations of a ca...
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08/13/2019
Learning elementary structures for 3D shape generation and matching
We propose to represent shapes as the deformation and combination of lea...
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07/06/2019
Unsupervised cycle-consistent deformation for shape matching
We propose a self-supervised approach to deep surface deformation. Given...
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04/18/2019
Deep Parametric Shape Predictions using Distance Fields
Many tasks in graphics and vision demand machinery for converting shapes...
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03/20/2019
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
In this paper, we address the problem of 3D object mesh reconstruction f...
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10/20/2018
Learning Material-Aware Local Descriptors for 3D Shapes
Material understanding is critical for design, geometric modeling, and a...
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07/04/2018
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces
Modeling relations between components of 3D objects is essential for man...
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06/13/2018
Shape correspondences from learnt template-based parametrization
We present a new deep learning approach for matching deformable shapes b...
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02/15/2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
We introduce a method for learning to generate the surface of 3D shapes....
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08/22/2017
Tags2Parts: Discovering Semantic Regions from Shape Tags
We propose a novel method for discovering shape regions that strongly co...
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08/06/2017
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
Assembly-based tools provide a powerful modeling paradigm for non-expert...
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06/14/2017
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks
We present a new local descriptor for 3D shapes, directly applicable to ...
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05/04/2017
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories
We propose a method for converting geometric shapes into hierarchically ...
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02/24/2015
