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Generalised Implicit Neural Representations

31 May 2022

Papers citing "Generalised Implicit Neural Representations"

33 / 33 papers shown

Title
ViFOR: A Fourier-Enhanced Vision Transformer for Multi-Image Super-Resolution in Earth System Ehsan Zeraatkar Salah A Faroughi Jelena Tešić 64 0 0 18 Feb 2025
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction Yucong Meng Zhiwei Yang Minghong Duan Yonghong Shi Zhijian Song 135 1 0 18 Nov 2024
Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom Sangyoon Lee Jaeho Lee 108 3 0 07 Oct 2024
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation Chaokang Jiang Dalong Du Jiuming Liu Siting Zhu Zhenqiang Liu Zhuang Ma Zhujin Liang Jie Zhou 72 3 0 23 May 2024
Intrinsic Neural Fields: Learning Functions on Manifolds Lukas Koestler Daniel Grittner Michael Moeller Daniel Cremers Zorah Lähner 79 22 0 15 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 93 150 0 25 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 87 16 0 31 Jan 2022
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 85 86 0 18 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 285 330 0 15 Oct 2021
Seeing Implicit Neural Representations as Fourier Series Nuri Benbarka Timon Hofer Hamd ul Moqeet Riaz A. Zell AI4CE 85 53 0 01 Sep 2021
3D Neural Scene Representations for Visuomotor Control Yunzhu Li Shuang Li Vincent Sitzmann Pulkit Agrawal Antonio Torralba 117 141 0 08 Jul 2021
Phase Transitions, Distance Functions, and Implicit Neural Representations Y. Lipman AI4CE 62 39 0 14 Jun 2021
GraphiT: Encoding Graph Structure in Transformers Grégoire Mialon Dexiong Chen Margot Selosse Julien Mairal 117 171 0 10 Jun 2021
On the Universality of Graph Neural Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter 96 23 0 27 May 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas Guibas 3DPC 182 329 0 25 Apr 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations Junteng Jia Austin R. Benson 76 29 0 19 Jan 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 109 761 0 17 Dec 2020
Adversarial Generation of Continuous Images Ivan Skorokhodov Savva Ignatyev Mohamed Elhoseiny GAN 97 174 0 24 Nov 2020
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 135 2,449 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 174 2,579 0 17 Jun 2020
MeshSDF: Differentiable Iso-Surface Extraction Edoardo Remelli Artem Lukoianov Stephan R. Richter Benoît Guillard Timur M. Bagautdinov Pierre Baqué Pascal Fua 103 151 0 06 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter GNN 71 87 0 02 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 548 953 0 02 Mar 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 135 863 0 24 Feb 2020
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 142 514 0 23 Nov 2019
Transferability of Spectral Graph Convolutional Neural Networks Ron Levie Wei Huang Lorenzo Bucci M. Bronstein Gitta Kutyniok GNN 137 130 0 30 Jul 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 93 301 0 06 Jul 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 135 3,709 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 253 2,909 0 10 Dec 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 811 132,725 0 12 Jun 2017
Community Detection and Stochastic Block Models Emmanuel Abbe 138 1,200 0 29 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 815 3,302 0 24 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014