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09/07/2023
SimNP: Learning Self-Similarity Priors Between Neural Points
Existing neural field representations for 3D object reconstruction eithe...
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07/27/2022
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
We present Pose-NDF, a continuous model for plausible human poses based ...
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05/16/2022
TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement
We present TOCH, a method for refining incorrect 3D hand-object interact...
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03/24/2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Efficiently reconstructing complex and intricate surfaces at scale is a ...
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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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04/15/2019
Differentiable Iterative Surface Normal Estimation
This paper presents an end-to-end differentiable algorithm for anisotrop...
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03/06/2019
Fast Graph Representation Learning with PyTorch Geometric
We introduce PyTorch Geometric, a library for deep learning on irregular...
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10/04/2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
In recent years, graph neural networks (GNNs) have emerged as a powerful...
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06/13/2018
Group Equivariant Capsule Networks
We present group equivariant capsule networks, a framework to introduce ...
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11/24/2017