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
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 42 6 0 17 Jun 2024
An Intrinsic Vector Heat Network Alexander Gao Maurice Chu Mubbasir Kapadia Ming C. Lin Hsueh-Ti Derek Liu AI4CE 34 0 0 14 Jun 2024
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks Cong Liu David Ruhe Patrick Forré 48 1 0 06 Jun 2024
Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks Bumju Kwak Jeonghee Jo 53 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 31 0 0 01 Jun 2024
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 30 0 0 29 May 2024
Improved Canonicalization for Model Agnostic Equivariance Siba Smarak Panigrahi Arnab Kumar Mondal 45 3 0 23 May 2024
Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose Michael Kilgour Mark Tuckerman J. Rogal 35 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 30 2 0 06 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 44 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 34 10 0 20 Apr 2024
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform Chunghyun Park Seungwook Kim Jaesik Park Minsu Cho 3DPC 40 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 35 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 50 1 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 42 10 0 28 Mar 2024
Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement Yichen Cai Jianfeng Gao Christoph Pohl Tamim Asfour 40 4 0 20 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 50 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 37 3 0 17 Mar 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 44 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 43 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 42 0 0 23 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 27 13 0 15 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 31 1 0 13 Feb 2024
Social Physics Informed Diffusion Model for Crowd Simulation Hongyi Chen Jingtao Ding Yong Li Yue Wang Xiao-Ping Zhang AI4CE 36 13 0 08 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 36 2 0 07 Feb 2024
Weisfeiler Leman for Euclidean Equivariant Machine Learning Snir Hordan Tal Amir Nadav Dym 44 5 0 04 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 36 3 0 25 Jan 2024
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D Hao-zhe Huang Owen Howell Dian Wang Xu Zhu Robin G. Walters Robert W. Platt 37 22 0 22 Jan 2024
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products Shengjie Luo Tianlang Chen Aditi S. Krishnapriyan 34 19 0 18 Jan 2024
Single Mesh Diffusion Models with Field Latents for Texture Generation Thomas W. Mitchel Carlos Esteves A. Makadia DiffM AI4CE 35 8 0 14 Dec 2023
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments Liyuan Zhu Shengyu Huang Konrad Schindler Iro Armeni 33 8 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 40 0 0 13 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 73 16 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 24 5 0 18 Nov 2023
Equivariant Neural Operator Learning with Graphon Convolution Chaoran Cheng Jian-wei Peng 16 4 0 17 Nov 2023
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior James A. D. Gardner Bernhard Egger William A. P. Smith 22 2 0 15 Nov 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior Puhua Jiang Mingze Sun Ruqi Huang 37 10 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 23 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 29 1 0 02 Nov 2023
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation Jingyun Yang Congyue Deng Jimmy Wu Rika Antonova Leonidas J. Guibas Jeannette Bohg LM&Ro 31 31 0 24 Oct 2023
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment Vitalis Vosylius Edward Johns 31 9 0 18 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji Sourya Basu L. Varshney 32 1 0 14 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 48 2 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 20 3 0 04 Oct 2023
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 53 27 0 02 Oct 2023
LEAP: Liberate Sparse-view 3D Modeling from Camera Poses Hanwen Jiang Zhenyu Jiang Yue Zhao Qixing Huang 26 37 0 02 Oct 2023
SuPerPM: A Large Deformation-Robust Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data Sha Lin Albert J. Miao Ali Alabiad Fei Liu Kaiyuan Wang Jingpei Lu Florian Richter Michael C. Yip 27 3 0 25 Sep 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 36 0 0 15 Sep 2023
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly Ruihai Wu Chenrui Tie Yushi Du Yan Zhao Hao Dong 34 19 0 13 Sep 2023
Learning the Geodesic Embedding with Graph Neural Networks Bo Pang Zhongtian Zheng Guoping Wang Peng-Shuai Wang GNN 22 7 0 11 Sep 2023