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 / 234 papers shown

Title
BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration Stefanos Pertigkiozoglou Evangelos Chatzipantazis Kostas Daniilidis 3DPC 82 1 0 11 Jul 2024
Improving Molecular Modeling with Geometric GNNs: an Empirical Study Ali Ramlaoui Théo Saulus Basile Terver Victor Schmidt David Rolnick Fragkiskos D. Malliaros Alexandre Duval AI4CE 69 1 0 11 Jul 2024
OrbitGrasp: $SE(3)$ -Equivariant Grasp Learning Boce Hu Xupeng Zhu Dian Wang Zihao Dong Haojie Huang Chenghao Wang Robin Walters Robert Platt 3DPC 105 13 0 03 Jul 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 124 4 0 02 Jul 2024
EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning Jingyun Yang Zi-ang Cao Congyue Deng Rika Antonova Shuran Song Jeannette Bohg DiffM 118 38 0 01 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 102 2 0 01 Jul 2024
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies Haojie Huang Karl Schmeckpeper Dian Wang Ondrej Biza Yaoyao Qian Haotian Liu Mingxi Jia Robert Platt Robin Walters VGen LM&Ro 92 8 0 17 Jun 2024
An Intrinsic Vector Heat Network Alexander Gao Maurice Chu Mubbasir Kapadia Ming C. Lin Hsueh-Ti Derek Liu AI4CE 46 0 0 14 Jun 2024
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks Cong Liu David Ruhe Patrick Forré 89 1 0 06 Jun 2024
Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks Bumju Kwak Jeonghee Jo 92 0 0 01 Jun 2024
E $^3$ -Net: Efficient E(3)-Equivariant Normal Estimation Network Hanxiao Wang Mingyang Zhao Weize Quan Zhen Chen Dong-ming Yan Peter Wonka 3DPC 79 0 0 01 Jun 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 66 1 0 29 May 2024
Improved Canonicalization for Model Agnostic Equivariance Siba Smarak Panigrahi Arnab Kumar Mondal 75 4 0 23 May 2024
Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose Michael Kilgour Mark Tuckerman Jutta Rogal 112 0 0 22 May 2024
Spatial and Surface Correspondence Field for Interaction Transfer Zeyu Huang Honghao Xu Haibin Huang Chongyang Ma Hui Huang Ruizhen Hu 60 2 0 06 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 87 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 79 13 0 20 Apr 2024
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform Chunghyun Park Seungwook Kim Jaesik Park Minsu Cho 3DPC 92 1 0 17 Apr 2024
Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation Gaurav Singh Sanket Kalwar Md Faizal Karim Bipasha Sen Nagamanikandan Govindan Srinath Sridhar K. M. Krishna 97 7 0 06 Apr 2024
Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence Ling Wang Runfa Chen Yikai Wang Gang Hua Xinzhou Wang Sun Kai Guangyuan Fu Jianwei Zhang Wenbing Huang 3DPC 109 2 0 01 Apr 2024
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation Chongkai Gao Zhengrong Xue Shuying Deng Tianhai Liang Siqi Yang Lin Shao Huazhe Xu 3DPC 75 13 0 28 Mar 2024
Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement Yichen Cai Jianfeng Gao Christoph Pohl Tamim Asfour 75 4 0 20 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich Alexandru Paul Condurache 125 4 0 17 Mar 2024
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis Yiyang Chen Lunhao Duan Shanshan Zhao Changxing Ding Dacheng Tao 67 4 0 17 Mar 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 78 1 0 15 Mar 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis Takahiko Furuya 3DPC 99 2 0 01 Mar 2024
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups Sourya Basu Suhas Lohit Matthew Brand 70 0 0 23 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 129 16 0 15 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 64 2 0 13 Feb 2024
Social Physics Informed Diffusion Model for Crowd Simulation Hongyi Chen Jingtao Ding Yong Li Yue Wang Xiao-Ping Zhang AI4CE 76 15 0 08 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 99 3 0 07 Feb 2024
Weisfeiler Leman for Euclidean Equivariant Machine Learning Snir Hordan Tal Amir Nadav Dym 80 8 0 04 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 135 3 0 25 Jan 2024
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D Hao-zhe Huang Owen Howell Dian Wang Xu Zhu Robin Walters Robert Platt 128 25 0 22 Jan 2024
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products Shengjie Luo Tianlang Chen Aditi S. Krishnapriyan 88 26 0 18 Jan 2024
Single Mesh Diffusion Models with Field Latents for Texture Generation Thomas W. Mitchel Carlos Esteves A. Makadia DiffM AI4CE 85 9 0 14 Dec 2023
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments Liyuan Zhu Shengyu Huang Konrad Schindler Iro Armeni 75 10 0 14 Dec 2023
Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches Gregor Kobsik I. Lim Leif Kobbelt 3DPC 65 0 0 13 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 126 17 0 04 Dec 2023
ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation Yan Di Chenyangguang Zhang Chaowei Wang Ruida Zhang Guangyao Zhai Yanyan Li Bowen Fu Xiangyang Ji Shan Gao 3DPC 77 6 0 18 Nov 2023
Equivariant Neural Operator Learning with Graphon Convolution Chaoran Cheng Jian-wei Peng 42 5 0 17 Nov 2023
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior James A. D. Gardner Bernhard Egger William A. P. Smith 86 2 0 15 Nov 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior Puhua Jiang Mingze Sun Ruqi Huang 103 11 0 08 Nov 2023
Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance and Riemannian Mixture Models Ho Jin Choi Nadia Figueroa 77 4 0 05 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 62 1 0 02 Nov 2023
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation Jingyun Yang Congyue Deng Jimmy Wu Rika Antonova Leonidas Guibas Jeannette Bohg LM&Ro 117 36 0 24 Oct 2023
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment Vitalis Vosylius Edward Johns 91 9 0 18 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji Sourya Basu Lav Varshney 58 1 0 14 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 111 3 0 06 Oct 2023
Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant Autoencoders Allan dos Santos Costa Ilan Mitnikov Mario Geiger Manvitha Ponnapati Tess E. Smidt Joseph Jacobson DiffM 54 3 0 04 Oct 2023