3D Equivariant Graph Implicit Functions

31 March 2022

Matthias Nießner

Papers citing "3D Equivariant Graph Implicit Functions"

48 / 48 papers shown

Title
An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions Yijun Yuan A. Nüchter 52 9 0 17 Jun 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Yan Sun Kostas Daniilidis 3DPC 87 33 0 05 Apr 2022
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation Anthony Simeonov Yilun Du Andrea Tagliasacchi J. Tenenbaum Alberto Rodriguez Pulkit Agrawal Vincent Sitzmann 110 244 0 09 Dec 2021
OctField: Hierarchical Implicit Functions for 3D Modeling Jiapeng Tang Weikai Chen Jie Yang Bo Wang Songrun Liu Bo Yang Lin Gao 33 39 0 01 Nov 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas Guibas 3DPC 170 324 0 25 Apr 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 86 997 0 19 Feb 2021
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes Towaki Takikawa Joey Litalien K. Yin Karsten Kreis Charles T. Loop Derek Nowrouzezahrai Alec Jacobson M. McGuire Sanja Fidler 3DV 89 520 0 26 Jan 2021
PointMixup: Augmentation for Point Clouds Yunlu Chen Vincent Tao Hu E. Gavves Thomas Mensink Pascal Mettes Pengwan Yang Cees G. M. Snoek 3DPC 54 158 0 14 Aug 2020
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry Yifan Xu Tianqi Fan Yi Yuan Gurprit Singh 3DPC 3DV 74 36 0 27 Jul 2020
Points2Surf: Learning Implicit Surfaces from Point Cloud Patches Philipp Erler Paul Guerrero S. Ohrhallinger Michael Wimmer Niloy J. Mitra 3DPC 53 181 0 20 Jul 2020
On the generalization of learning-based 3D reconstruction Miguel Angel Bautista Walter A. Talbott Shuangfei Zhai Nitish Srivastava J. Susskind 3DV 64 29 0 27 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 141 689 0 18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions Vincent Sitzmann E. R. Chan Richard Tucker Noah Snavely Gordon Wetzstein 62 247 0 17 Jun 2020
SALD: Sign Agnostic Learning with Derivatives Matan Atzmon Y. Lipman 96 143 0 09 Jun 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 64 462 0 24 Mar 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 293 560 0 19 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 336 983 0 10 Mar 2020
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion Julian Chibane Thiemo Alldieck Gerard Pons-Moll 3DPC 108 496 0 03 Mar 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 69 991 0 16 Dec 2019
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization Yue Jiang Dantong Ji Zhizhong Han Matthias Zwicker 51 237 0 15 Dec 2019
Local Deep Implicit Functions for 3D Shape Kyle Genova Forrester Cole Avneesh Sud Aaron Sarna Thomas Funkhouser 3DV 3DPC 49 48 0 12 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 391 42,299 0 03 Dec 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 124 510 0 23 Nov 2019
Learning to Infer Implicit Surfaces without 3D Supervision Shichen Liu Shunsuke Saito Weikai Chen Hao Li 3DV 83 197 0 02 Nov 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 115 149 0 14 Oct 2019
Controlling Neural Level Sets Matan Atzmon Niv Haim Lior Yariv Ofer Israelov Haggai Maron Y. Lipman AI4CE 52 119 0 28 May 2019
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction Qiangeng Xu Weiyue Wang Duygu Ceylan R. Měch Ulrich Neumann 3DH 3DV 106 565 0 26 May 2019
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization Shunsuke Saito Zeng Huang Ryota Natsume Shigeo Morishima Angjoo Kanazawa Hao Li 3DH 137 1,256 0 13 May 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 118 3,677 0 16 Jan 2019
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
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 121 1,628 0 06 Dec 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 91 503 0 06 Jul 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis Jiaxin Li Ben M. Chen Gim Hee Lee 3DPC 68 937 0 12 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 82 966 0 22 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,132 0 24 Jan 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 69 386 0 20 Nov 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 327 11,062 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 533 7,431 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 368 2,459 0 10 Mar 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes Angela Dai Angel X. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner 3DPC 3DV 451 4,040 0 14 Feb 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 135 499 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 105 708 0 14 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 458 14,264 0 02 Dec 2016
Universal Correspondence Network Chris Choy JunYoung Gwak Silvio Savarese Manmohan Chandraker 53 369 0 11 Jun 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 142 1,930 0 24 Feb 2016
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 142 5,508 0 09 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.7K 76,917 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014