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Grassmann Manifold Flows for Stable Shape Generation

Grassmann Manifold Flows for Stable Shape Generation

5 November 2022
Ryoma Yataka
Kazuki Hirashima
Masashi Shiraishi
ArXivPDFHTML

Papers citing "Grassmann Manifold Flows for Stable Shape Generation"

7 / 7 papers shown
Title
Riemannian Score-Based Generative Modelling
Riemannian Score-Based Generative Modelling
Valentin De Bortoli
Emile Mathieu
M. Hutchinson
James Thornton
Yee Whye Teh
Arnaud Doucet
DiffM
222
164
0
06 Feb 2022
Grassmannian learning mutual subspace method for image set recognition
Grassmannian learning mutual subspace method for image set recognition
L. S. Souza
Naoya Sogi
B. Gatto
Takumi Kobayashi
Kazuhiro Fukui
19
11
0
08 Nov 2021
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
49
128
0
07 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,106
0
27 Apr 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
102
127
0
11 Mar 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
165
308
0
05 Nov 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
239
2,550
0
25 Jan 2016
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