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"

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Title
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation Zechu Li Yufeng Jin Daniel Felipe Ordoñez Apraez Claudio Semini Puze Liu Georgia Chalvatzaki 139 0 0 08 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 55 0 0 07 May 2025
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI Lik Hang Kenny Wong Xueyang Kang Kaixin Bai Jianwei Zhang 56 0 0 01 May 2025
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey Joohwan Seo Soochul Yoo Junwoo Chang Hyunseok An Hyunwoo Ryu Soomi Lee Arvind Kruthiventy Jongeun Choi R. Horowitz 71 2 0 12 Mar 2025
Correspondence-Free Pose Estimation with Patterns: A Unified Approach for Multi-Dimensional Vision Quan Quan Dun Dai 42 0 0 26 Feb 2025
CrossOver: 3D Scene Cross-Modal Alignment S. Sarkar O. Mikšík Marc Pollefeys Daniel Barath Iro Armeni 3DPC 78 0 0 20 Feb 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 73 0 0 02 Jan 2025
ET-SEED: Efficient Trajectory-Level SE(3) Equivariant Diffusion Policy Chenrui Tie Yue Chen Ruihai Wu Boxuan Dong Z. Li Chongkai Gao Hao Dong 51 3 0 06 Nov 2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong W. Yu Tao Zhang 57 0 0 03 Nov 2024
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts Jiaxin Lu Yongqing Liang Huijun Han Jiacheng Hua Junfeng Jiang Xin Li Qixing Huang 3DV 43 1 0 18 Oct 2024
MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies Haojie Huang Haotian Liu Dian Wang Robin Walters Robert Platt 3DPC 97 2 0 23 Sep 2024
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation Mingze Sun Chen Guo Puhua Jiang Shiwei Mao Yurun Chen Ruqi Huang 46 4 0 18 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 39 4 0 23 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 40 3 0 12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 44 0 0 11 Aug 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 42 1 0 02 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 44 2 0 01 Jul 2024
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks Cong Liu David Ruhe Patrick Forré 32 1 0 06 Jun 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 40 4 0 05 May 2024
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks Ben Eisner Yi Yang Todor Davchev Mel Vecerík Jonathan Scholz David Held 32 10 0 20 Apr 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 38 4 0 17 Mar 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis Takahiko Furuya 3DPC 43 2 0 01 Mar 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 31 2 0 07 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 28 3 0 25 Jan 2024
Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches Gregor Kobsik I. Lim Leif Kobbelt 3DPC 32 0 0 13 Dec 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior Puhua Jiang Mingze Sun Ruqi Huang 29 10 0 08 Nov 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 40 1 0 06 Oct 2023
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction Kehua Chen Xianda Chen Zihan Yu Meixin Zhu Hai Yang DiffM 46 18 0 12 Aug 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design Zaixin Zhang Qi Liu 25 34 0 22 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 33 0 0 13 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz K. Zhang Pulkit Agrawal 43 15 0 27 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 21 17 0 18 Apr 2023
RePAST: Relative Pose Attention Scene Representation Transformer Aleksandr Safin Daniel Durckworth Mehdi S. M. Sajjadi 29 3 0 03 Apr 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 24 21 0 27 Mar 2023
Optimization Dynamics of Equivariant and Augmented Neural Networks Axel Flinth F. Ohlsson 30 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 30 96 0 20 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 31 8 0 13 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 21 18 0 27 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 26 5 0 22 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 26 79 0 07 Feb 2023
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields Rohith Agaram Shaurya Dewan Rahul Sajnani A. Poulenard Madhava Krishna Srinath Sridhar 30 6 0 05 Dec 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution A. Poulenard M. Ovsjanikov Leonidas J. Guibas 3DPC 30 2 0 29 Nov 2022
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation Chuer Pan Brian Okorn Harry Zhang Ben Eisner David Held 22 57 0 17 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 36 61 0 11 Nov 2022
Neural Grasp Distance Fields for Robot Manipulation Thomas Weng David Held Franziska Meier Mustafa Mukadam 11 45 0 04 Nov 2022
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection Hao-zhe Huang Dian Wang Xu Zhu Robin G. Walters Robert W. Platt 3DPC 13 35 0 31 Oct 2022
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds Minghua Liu Xuanlin Li Z. Ling Yangyan Li Hao Su 31 31 0 14 Oct 2022
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design Keir Adams Connor W. Coley 34 25 0 06 Oct 2022
Towards General-Purpose Representation Learning of Polygonal Geometries Gengchen Mai C. Jiang Weiwei Sun Rui Zhu Yao Xuan Ling Cai K. Janowicz Stefano Ermon Ni Lao 27 37 0 29 Sep 2022
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration Hao Yu Jiafan Hou Zheng Qin Mahdi Saleh I. Shugurov Kai Wang Benjamin Busam Slobodan Ilic 47 39 0 27 Sep 2022