ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.01741
  4. Cited By
Frame Averaging for Equivariant Shape Space Learning

Frame Averaging for Equivariant Shape Space Learning

3 December 2021
Matan Atzmon
Koki Nagano
Sanja Fidler
S. Khamis
Y. Lipman
    FedML
ArXivPDFHTML

Papers citing "Frame Averaging for Equivariant Shape Space Learning"

17 / 17 papers shown
Title
Equivariance via Minimal Frame Averaging for More Symmetries and
  Efficiency
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin
Jacob Helwig
Shurui Gui
Shuiwang Ji
32
7
0
11 Jun 2024
E$^3$-Net: Efficient E(3)-Equivariant Normal Estimation Network
E3^33-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
Approximately Piecewise E(3) Equivariant Point Networks
Approximately Piecewise E(3) Equivariant Point Networks
Matan Atzmon
Jiahui Huang
Francis Williams
Or Litany
3DPC
13
1
0
13 Feb 2024
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim
Joshua Robinson
Stefanie Jegelka
Haggai Maron
49
16
0
04 Dec 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks
Efficient Model-Agnostic Multi-Group Equivariant Networks
Razan Baltaji
Sourya Basu
L. Varshney
19
1
0
14 Oct 2023
Neural Kernel Surface Reconstruction
Neural Kernel Surface Reconstruction
Jiahui Huang
Zan Gojcic
Matan Atzmon
Or Litany
Sanja Fidler
Francis Williams
3DV
33
68
0
31 May 2023
Efficient Equivariant Transfer Learning from Pretrained Models
Efficient Equivariant Transfer Learning from Pretrained Models
Sourya Basu
Pulkit Katdare
P. Sattigeri
Vijil Chenthamarakshan
Katherine Driggs Campbell
Payel Das
L. Varshney
25
7
0
17 May 2023
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3)
  Equivariance
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
9
10
0
20 Apr 2023
Generative modeling of living cells with SO(3)-equivariant implicit
  neural representations
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
6
17
0
18 Apr 2023
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud
  Representation
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation
Z. Su
Max Welling
M. Pietikäinen
Li Liu
3DPC
17
11
0
13 Sep 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant
  Networks on Homogeneous Spaces
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu
Jiahui Lei
Edgar Dobriban
Kostas Daniilidis
15
19
0
16 Jun 2022
Frame Averaging for Invariant and Equivariant Network Design
Frame Averaging for Invariant and Equivariant Network Design
Omri Puny
Matan Atzmon
Heli Ben-Hamu
Ishan Misra
Aditya Grover
Edward James Smith
Y. Lipman
FedML
33
90
0
07 Oct 2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning
  Deformable Shape Generators
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
Qi-Xing Huang
Xiangru Huang
Bo Sun
Zaiwei Zhang
Junfeng Jiang
Chandrajit L. Bajaj
29
35
0
21 Aug 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
102
314
0
25 Apr 2021
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
212
968
0
10 Mar 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
147
760
0
30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
1