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1909.11663
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Explicitly disentangling image content from translation and rotation with spatial-VAE
Neural Information Processing Systems (NeurIPS), 2019
25 September 2019
Tristan Bepler
Ellen D. Zhong
Kotaro Kelley
E. Brignole
Bonnie Berger
CoGe
DRL
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Papers citing
"Explicitly disentangling image content from translation and rotation with spatial-VAE"
26 / 26 papers shown
Title
Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders
B. Slautin
Kamyar Barakati
Hiroshi Funakubo
M. Ziatdinov
Vladimir V. Shvartsman
Doru C. Lupascu
Sergei V. Kalinin
DRL
164
0
0
30 Sep 2025
Equivariant amortized inference of poses for cryo-EM
Larissa de Ruijter
Gabriele Cesa
149
1
0
01 Jun 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
M. R. Uddin
Min Xu
363
0
0
27 May 2024
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
International Conference on Machine Learning (ICML), 2023
Sehyun Kwon
Jooyoung Choi
Ernest K. Ryu
OOD
197
5
0
27 Apr 2023
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
145
17
0
18 Apr 2023
Domain Generalization In Robust Invariant Representation
Gauri Gupta
Ritvik Kapila
Keshav Gupta
Ramesh Raskar
OOD
111
2
0
07 Apr 2023
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
Mani Valleti
Yongtao Liu
Sergei V. Kalinin
DRL
130
5
0
30 Mar 2023
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Mani Valleti
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
95
13
0
25 Mar 2023
MELON: NeRF with Unposed Images in SO(3)
International Conference on 3D Vision (3DV), 2023
Axel Levy
Mark J. Matthews
Matan Sela
Gordon Wetzstein
Dmitry Lagun
139
3
0
14 Mar 2023
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Neural Information Processing Systems (NeurIPS), 2022
Alireza Nasiri
Tristan Bepler
DRL
158
16
0
24 Oct 2022
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Neural Information Processing Systems (NeurIPS), 2022
Axel Levy
Gordon Wetzstein
Julien N. P. Martel
Frédéric Poitevin
Ellen D. Zhong
190
46
0
13 Oct 2022
Microscopy is All You Need
Sergei V. Kalinin
Rama K Vasudevan
Yongtao Liu
Ayana Ghosh
Kevin M. Roccapriore
M. Ziatdinov
143
1
0
12 Oct 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation
International Conference on Machine Learning (ICML), 2022
Anna Kuzina
Kumar Pratik
F. V. Massoli
Arash Behboodi
212
3
0
28 Jun 2022
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
134
13
0
21 Mar 2022
Physics-informed Guided Disentanglement in Generative Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Fabio Pizzati
Pietro Cerri
Raoul de Charette
PINN
DRL
310
14
0
29 Jul 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning
Minh Nguyen
A. Roy
Haoran Zhang
BDL
DRL
146
1
0
25 Jul 2021
Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Kai Yi
Jianye Pang
Yungeng Zhang
Xiangrui Zeng
Min Xu
148
1
0
27 Jun 2021
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
M. Ziatdinov
C. Wong
Sergei V. Kalinin
OOD
177
11
0
23 Jun 2021
Improved Transformer for High-Resolution GANs
Neural Information Processing Systems (NeurIPS), 2021
Long Zhao
Zizhao Zhang
Ting Chen
Dimitris N. Metaxas
Han Zhang
ViT
313
109
0
14 Jun 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement
IEEE Signal Processing Magazine (IEEE SPM), 2021
Mehmet Akccakaya
Burhaneddin Yaman
Hyungjin Chung
Jong Chul Ye
MedIm
281
61
0
17 May 2021
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
153
3
0
22 Mar 2021
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction
IEEE International Symposium on Biomedical Imaging (ISBI), 2021
Koby Bibas
Gili Weiss-Dicker
Dana Cohen
Noa Cahan
H. Greenspan
138
8
0
10 Jan 2021
Adversarial Generation of Continuous Images
Computer Vision and Pattern Recognition (CVPR), 2020
Ivan Skorokhodov
Savva Ignatyev
Mohamed Elhoseiny
GAN
276
188
0
24 Nov 2020
Survey2Survey: A deep learning generative model approach for cross-survey image mapping
Monthly notices of the Royal Astronomical Society (MNRAS), 2020
B. Buncher
A. N. Sharma
M. Kind
MedIm
154
6
0
13 Nov 2020
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Kartik Goyal
Chris Dyer
Christopher N. Warren
M. G'Sell
Taylor Berg-Kirkpatrick
104
7
0
04 May 2020
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
146
24
0
19 Nov 2019
1