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Explicitly disentangling image content from translation and rotation
  with spatial-VAE

Explicitly disentangling image content from translation and rotation with spatial-VAE

25 September 2019
Tristan Bepler
Ellen D. Zhong
Kotaro Kelley
E. Brignole
Bonnie Berger
    CoGe
    DRL
ArXivPDFHTML

Papers citing "Explicitly disentangling image content from translation and rotation with spatial-VAE"

25 / 25 papers shown
Title
Equivariant amortized inference of poses for cryo-EM
Equivariant amortized inference of poses for cryo-EM
Larissa de Ruijter
Gabriele Cesa
44
1
0
01 Jun 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
M. R. Uddin
Min Xu
51
0
0
27 May 2024
Rotation and Translation Invariant Representation Learning with Implicit
  Neural Representations
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
Sehyun Kwon
Jooyoung Choi
Ernest K. Ryu
OOD
41
4
0
27 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
32
17
0
18 Apr 2023
Domain Generalization In Robust Invariant Representation
Domain Generalization In Robust Invariant Representation
Gauri Gupta
Ritvik Kapila
Keshav Gupta
Ramesh Raskar
OOD
19
0
0
07 Apr 2023
Physics and Chemistry from Parsimonious Representations: Image Analysis
  via Invariant Variational Autoencoders
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
Mani Valleti
Yongtao Liu
Sergei V. Kalinin
DRL
30
4
0
30 Mar 2023
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Mani Valleti
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
16
7
0
25 Mar 2023
MELON: NeRF with Unposed Images in SO(3)
MELON: NeRF with Unposed Images in SO(3)
A. Levy
Mark J. Matthews
Matan Sela
Gordon Wetzstein
Dmitry Lagun
48
1
0
14 Mar 2023
Unsupervised Object Representation Learning using Translation and
  Rotation Group Equivariant VAE
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri
Tristan Bepler
DRL
24
12
0
24 Oct 2022
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
A. Levy
Gordon Wetzstein
Julien N. P. Martel
Frédéric Poitevin
Ellen D. Zhong
23
34
0
13 Oct 2022
Microscopy is All You Need
Microscopy is All You Need
Sergei V. Kalinin
Rama K Vasudevan
Yongtao Liu
Ayana Ghosh
Kevin M. Roccapriore
M. Ziatdinov
28
0
0
12 Oct 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation
Equivariant Priors for Compressed Sensing with Unknown Orientation
Anna Kuzina
Kumar Pratik
F. V. Massoli
Arash Behboodi
25
2
0
28 Jun 2022
Review of Disentanglement Approaches for Medical Applications -- Towards
  Solving the Gordian Knot of Generative Models in Healthcare
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare
Jana Fragemann
Lynton Ardizzone
Jan Egger
Jens Kleesiek
DRL
MedIm
30
10
0
21 Mar 2022
Physics-informed Guided Disentanglement in Generative Networks
Physics-informed Guided Disentanglement in Generative Networks
Fabio Pizzati
Pietro Cerri
Raoul de Charette
PINN
DRL
23
12
0
29 Jul 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for
  Equivariant Learning
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning
Chandrajit L. Bajaj
A. Roy
Haoran Zhang
BDL
DRL
26
1
0
25 Jul 2021
Disentangling semantic features of macromolecules in Cryo-Electron
  Tomography
Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Kai Yi
Jianye Pang
Yungeng Zhang
Xiangrui Zeng
Min Xu
18
1
0
27 Jun 2021
Finding simplicity: unsupervised discovery of features, patterns, and
  order parameters via shift-invariant variational autoencoders
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
M. Ziatdinov
C. Wong
Sergei V. Kalinin
OOD
24
10
0
23 Jun 2021
Improved Transformer for High-Resolution GANs
Improved Transformer for High-Resolution GANs
Long Zhao
Zizhao Zhang
Ting Chen
Dimitris N. Metaxas
Han Zhang
ViT
34
95
0
14 Jun 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction
  and Enhancement
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement
Mehmet Akccakaya
Burhaneddin Yaman
Hyungjin Chung
Jong Chul Ye
MedIm
36
55
0
17 May 2021
Automated and Autonomous Experiment in Electron and Scanning Probe
  Microscopy
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy
Sergei V. Kalinin
M. Ziatdinov
Jacob D. Hinkle
S. Jesse
Ayana Ghosh
K. Kelley
A. Lupini
B. Sumpter
Rama K Vasudevan
40
3
0
22 Mar 2021
Learning Rotation Invariant Features for Cryogenic Electron Microscopy
  Image Reconstruction
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction
Koby Bibas
Gili Weiss-Dicker
Dana Cohen
Noa Cahan
H. Greenspan
14
7
0
10 Jan 2021
Adversarial Generation of Continuous Images
Adversarial Generation of Continuous Images
Ivan Skorokhodov
Savva Ignatyev
Mohamed Elhoseiny
GAN
19
170
0
24 Nov 2020
Survey2Survey: A deep learning generative model approach for
  cross-survey image mapping
Survey2Survey: A deep learning generative model approach for cross-survey image mapping
B. Buncher
A. N. Sharma
M. Kind
MedIm
13
6
0
13 Nov 2020
A Probabilistic Generative Model for Typographical Analysis of Early
  Modern Printing
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing
Kartik Goyal
Chris Dyer
Christopher N. Warren
M. G'Sell
Taylor Berg-Kirkpatrick
28
7
0
04 May 2020
Estimation of Orientation and Camera Parameters from Cryo-Electron
  Microscopy Images with Variational Autoencoders and Generative Adversarial
  Networks
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
Nina Miolane
Frédéric Poitevin
Yee-Ting Li
S. Holmes
3DV
16
23
0
19 Nov 2019
1