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

24 June 2020

Francis Williams

Matthew Trager

Joan Bruna

Denis Zorin

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

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Title
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 110 2,410 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 118 2,543 0 17 Jun 2020
Deep Manifold Prior Matheus Gadelha Rui Wang Subhransu Maji 3DPC AI4CE 30 16 0 08 Apr 2020
Kernel Operations on the GPU, with Autodiff, without Memory Overflows Benjamin Charlier Jean Feydy J. Glaunès François-David Collin G. Durif 36 176 0 27 Mar 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction Rohan Chabra J. E. Lenssen Eddy Ilg Tanner Schmidt Julian Straub S. Lovegrove Richard Newcombe 62 462 0 24 Mar 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 106 857 0 24 Feb 2020
VoronoiNet: General Functional Approximators with Local Support Francis Williams Daniele Panozzo K. M. Yi Andrea Tagliasacchi 41 15 0 08 Dec 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 110 510 0 23 Nov 2019
BSP-Net: Generating Compact Meshes via Binary Space Partitioning Zhiqin Chen Andrea Tagliasacchi Hao Zhang 90 311 0 16 Nov 2019
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case Greg Ongie Rebecca Willett Daniel Soudry Nathan Srebro 64 161 0 03 Oct 2019
CvxNet: Learnable Convex Decomposition Boyang Deng Kyle Genova S. Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi 51 255 0 12 Sep 2019
Learning elementary structures for 3D shape generation and matching Theo Deprelle Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 52 187 0 13 Aug 2019
Gradient Dynamics of Shallow Univariate ReLU Networks Francis Williams Matthew Trager Claudio Silva Daniele Panozzo Denis Zorin Joan Bruna 51 80 0 18 Jun 2019
On the Inductive Bias of Neural Tangent Kernels A. Bietti Julien Mairal 63 257 0 29 May 2019
Learning Shape Templates with Structured Implicit Functions Kyle Genova Forrester Cole Daniel Vlasic Aaron Sarna William T. Freeman Thomas Funkhouser 3DV 71 383 0 12 Apr 2019
How do infinite width bounded norm networks look in function space? Pedro H. P. Savarese Itay Evron Daniel Soudry Nathan Srebro 66 165 0 13 Feb 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 114 3,677 0 16 Jan 2019
On Lazy Training in Differentiable Programming Lénaïc Chizat Edouard Oyallon Francis R. Bach 100 833 0 19 Dec 2018
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 234 2,892 0 10 Dec 2018
Deep Geometric Prior for Surface Reconstruction Francis Williams T. Schneider Claudio Silva Denis Zorin Joan Bruna Daniele Panozzo 3DPC 54 191 0 27 Nov 2018
A Continuous-Time View of Early Stopping for Least Squares Alnur Ali J. Zico Kolter Robert Tibshirani 56 97 0 23 Oct 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 224 3,191 0 20 Jun 2018
FALKON: An Optimal Large Scale Kernel Method Alessandro Rudi Luigi Carratino Lorenzo Rosasco 49 196 0 31 May 2017
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 118 5,508 0 09 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 270 18,587 0 06 Feb 2015
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 156 706 0 30 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,842 0 22 Dec 2014