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05/02/2023
Neural LiDAR Fields for Novel View Synthesis
We present Neural Fields for LiDAR (NFL), a method to optimise a neural ...
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10/12/2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Denoising diffusion models (DDMs) have shown promising results in 3D poi...
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09/22/2022
A Bibliographic View on Constrained Clustering
A keyword search on constrained clustering on Web-of-Science returned ju...
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02/16/2022
Learning Smooth Neural Functions via Lipschitz Regularization
Neural implicit fields have recently emerged as a useful representation ...
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11/26/2021
Neural Fields as Learnable Kernels for 3D Reconstruction
We present Neural Kernel Fields: a novel method for reconstructing impli...
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03/10/2021
Symmetry Breaking in Symmetric Tensor Decomposition
In this note, we consider the optimization problem associated with compu...
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12/18/2020
Human 3D keypoints via spatial uncertainty modeling
We introduce a technique for 3D human keypoint estimation that directly ...
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06/24/2020
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks
We present Neural Splines, a technique for 3D surface reconstruction tha...
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12/08/2019
VoronoiNet: General Functional Approximators with Local Support
Voronoi diagrams are highly compact representations that are used in var...
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06/18/2019
Gradient Dynamics of Shallow Univariate ReLU Networks
We present a theoretical and empirical study of the gradient dynamics of...
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04/09/2019
Unwind: Interactive Fish Straightening
The ScanAllFish project is a large-scale effort to scan all the world's ...
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12/15/2018
ABC: A Big CAD Model Dataset For Geometric Deep Learning
We introduce ABC-Dataset, a collection of one million Computer-Aided Des...
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11/27/2018