Vector Neurons: A General Framework for SO(3)-Equivariant Networks

25 April 2021

Yueqi Duan

Papers citing "Vector Neurons: A General Framework for SO(3)-Equivariant Networks"

50 / 230 papers shown

Title
Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks Daniel Levy Sekouba Kaba Carmelo Gonzales Santiago Miret Siamak Ravanbakhsh 38 5 0 06 Sep 2023
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation Hyunwoo Ryu Jiwoo Kim Hyun Seok Ahn Junwoo Chang Joohwan Seo Taehan Kim Yubin Kim Chaewon Hwang Jongeun Choi R. Horowitz DiffM 27 33 0 06 Sep 2023
ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors Wanyue Zhang Rishabh Dabral Thomas Leimkuhler Vladislav Golyanik Marc Habermann Christian Theobalt 30 17 0 24 Aug 2023
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition Geng Tian Junqiao Zhao Yingfeng Cai Fenglin Zhang Wenjie Mu Chen Ye 3DPC 24 3 0 24 Aug 2023
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models Ziqi Chen B. Peng Srinivas Parthasarathy Xia Ning DiffM 39 11 0 23 Aug 2023
Leveraging Symmetries in Pick and Place Hao-zhe Huang Dian Wang Arsh Tangri Robin Walters Robert W. Platt 35 14 0 15 Aug 2023
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction Kehua Chen Xianda Chen Zihan Yu Meixin Zhu Hai Yang DiffM 48 20 0 12 Aug 2023
Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation T. Furuya Zhoujie Chen Ryutarou Ohbuchi Zhenzhong Kuang 3DPC 26 2 0 09 Aug 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions Samantha Chen Yusu Wang 20 3 0 01 Aug 2023
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds O. Melia Eric Jonas Rebecca Willett OOD 3DPC 20 3 0 27 Jul 2023
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement Anthony Simeonov Ankit Goyal Lucas Manuelli Lin Yen-Chen Alina Sarmiento Alberto Rodriguez Pulkit Agrawal Dieter Fox DiffM 47 38 0 10 Jul 2023
CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation Danny Reidenbach Aditi S. Krishnapriyan 29 7 0 26 Jun 2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design Zaixin Zhang Jiaxian Yan Qi Liu Enhong Chen Marinka Zitnik 38 1 0 20 Jun 2023
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning Seungwook Kim Chunghyun Park Yoonwoo Jeong Jaesik Park Minsu Cho 3DPC 25 3 0 20 Jun 2023
Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering Snehal Jauhri Ishikaa Lunawat Georgia Chalvatzaki 35 10 0 12 Jun 2023
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation Jianqi Zhong Ta-Ying Cheng Yuhang He Kai Lu Kaichen Zhou Andrew Markham Niki Trigoni 3DPC 35 1 0 08 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 50 23 0 05 Jun 2023
HomE: Homography-Equivariant Video Representation Learning Anirudh Sriram Adrien Gaidon Jiajun Wu Juan Carlos Niebles L. Fei-Fei Ehsan Adeli SSL AI4TS 25 2 0 02 Jun 2023
Neural Kernel Surface Reconstruction Jiahui Huang Zan Gojcic Matan Atzmon Or Litany Sanja Fidler Francis Williams 3DV 46 68 0 31 May 2023
Smooth, exact rotational symmetrization for deep learning on point clouds Sergey Pozdnyakov Michele Ceriotti 3DPC 37 25 0 30 May 2023
Evaluating 3D Shape Analysis Methods for Robustness to Rotation Invariance Supriya Gadi Patil Angel X. Chang Manolis Savva 28 1 0 29 May 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng Jiahui Lei Bokui Shen Kostas Daniilidis Leonidas J. Guibas 3DPC 33 16 0 25 May 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design Zaixin Zhang Qi Liu 33 34 0 22 May 2023
Clifford Group Equivariant Neural Networks David Ruhe Johannes Brandstetter Patrick Forré 31 35 0 18 May 2023
Object Re-Identification from Point Clouds Benjamin Thérien Chengjie Huang Adrian Chow Krzysztof Czarnecki 3DPC 36 2 0 17 May 2023
Generation of 3D Molecules in Pockets via Language Model Wei Feng L. Wang Zaiyun Lin Yanhao Zhu Han Wang ... Huting Wang Jielong Zhou Wei Peng Bo Huang Wenbiao Zhou 33 28 0 17 May 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 35 0 0 13 May 2023
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics Pingchuan Ma Julius Berner B. Deng J. Tenenbaum Tao Du Chuang Gan Wojciech Matusik PINN AI4CE 98 33 0 27 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations Sehyun Kwon Jooyoung Choi Ernest K. Ryu OOD 41 4 0 27 Apr 2023
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection Huanhuan Gao Beiwen Tian Pengfei Li Hao Zhao Guyue Zhou 3DPC MQ 26 15 0 25 Apr 2023
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance Haiwen Feng Peter Kulits Shichen Liu Michael J. Black Victoria Fernandez-Abrevaya 3DPC 3DH 22 10 0 20 Apr 2023
Generative modeling of living cells with SO(3)-equivariant implicit neural representations David Wiesner Julian Suk Sven Dummer Tereza Nečasová V. Ulman D. Svoboda J. Wolterink DiffM MedIm 32 17 0 18 Apr 2023
Implicit representation priors meet Riemannian geometry for Bayesian robotic grasping Norman Marlier Julien Gustin O. Bruls Gilles Louppe 33 0 0 18 Apr 2023
RePAST: Relative Pose Attention Scene Representation Transformer Aleksandr Safin Daniel Durckworth Mehdi S. M. Sajjadi 34 3 0 03 Apr 2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction Minghan Zhu Shizong Han H. Cai Shubhankar Borse M. G. Jadidi Fatih Porikli 3DPC 57 15 0 28 Mar 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei Congyue Deng Karl Schmeckpeper Leonidas J. Guibas Kostas Daniilidis 3DPC 28 21 0 27 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks Axel Flinth F. Ohlsson 41 5 0 23 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 35 96 0 20 Mar 2023
MELON: NeRF with Unposed Images in SO(3) A. Levy Mark J. Matthews Matan Sela Gordon Wetzstein Dmitry Lagun 48 1 0 14 Mar 2023
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects Jiahui Fu Yilun Du Kurran Singh J. Tenenbaum John J. Leonard 39 8 0 13 Mar 2023
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching Puhua Jiang Min Sun Ruqi Huang 3DPC 31 9 0 02 Mar 2023
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images L. Luo Shuhang Zheng Yixuan Li Y. Fan B. Yu Sixi Cao Hui-Liang Shen 3DPC 18 41 0 28 Feb 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin Walters 29 19 0 27 Feb 2023
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification Pranav Kadam Hardik Prajapati Hao Fei Jintang Xue Shan Liu C.-C. Jay Kuo 3DPC 33 3 0 22 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 34 5 0 22 Feb 2023
GenAug: Retargeting behaviors to unseen situations via Generative Augmentation Zoey Chen Sho Kiami Abhishek Gupta Vikash Kumar LM&Ro 35 84 0 13 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 37 79 0 07 Feb 2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration Dingxin Zhang Jianhui Yu Chaoyi Zhang Weidong (Tom) Cai 3DPC 33 10 0 06 Feb 2023
Rethinking Rotation Invariance with Point Cloud Registration Jianhui Yu Chaoyi Zhang Weidong (Tom) Cai 3DPC 32 7 0 31 Dec 2022