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09/07/2023
Cross-Image Context Matters for Bongard Problems
Current machine learning methods struggle to solve Bongard problems, whi...
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12/09/2022
LADIS: Language Disentanglement for 3D Shape Editing
Natural language interaction is a promising direction for democratizing ...
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11/30/2022
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
Generative models have shown great promise in synthesizing photorealisti...
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07/18/2022
NeuForm: Adaptive Overfitting for Neural Shape Editing
Neural representations are popular for representing shapes, as they can ...
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06/29/2022
3D-Aware Video Generation
Generative models have emerged as an essential building block for many i...
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01/28/2022
Directed Weight Neural Networks for Protein Structure Representation Learning
A protein performs biological functions by folding to a particular 3D st...
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04/25/2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Invariance and equivariance to the rotation group have been widely discu...
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03/31/2021
Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the fie...
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11/26/2020
Generative Layout Modeling using Constraint Graphs
We propose a new generative model for layout generation. We generate lay...
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06/14/2020
ShapeFlow: Learnable Deformations Among 3D Shapes
We present ShapeFlow, a flow-based model for learning a deformation spac...
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05/23/2020
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
We present ManifoldPlus, a method for robust and scalable conversion of ...
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05/23/2020
MeshODE: A Robust and Scalable Framework for Mesh Deformation
We present MeshODE, a scalable and robust framework for pairwise CAD mod...
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01/27/2020
The Whole Is Greater Than the Sum of Its Nonrigid Parts
According to Aristotle, a philosopher in Ancient Greece, "the whole is g...
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12/27/2019
Quaternion Equivariant Capsule Networks for 3D Point Clouds
We present a 3D capsule architecture for processing of point clouds that...
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12/26/2019
Category-Level Articulated Object Pose Estimation
This paper addresses the task of category-level pose estimation for arti...
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03/25/2019
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss
We introduce CoSegNet, a deep neural network architecture for co-segment...
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10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
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12/09/2015
