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Equivariant Imaging: Learning Beyond the Range Space

Equivariant Imaging: Learning Beyond the Range Space

26 March 2021
Dongdong Chen
Julián Tachella
Mike E. Davies
    SSL
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Papers citing "Equivariant Imaging: Learning Beyond the Range Space"

15 / 15 papers shown
Title
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
Andrew Wang
Mike Davies
MedIm
21
2
0
11 Oct 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
47
0
0
13 Aug 2024
From Learning to Optimize to Learning Optimization Algorithms
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera
Peter Ochs
38
1
0
28 May 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Hongwei Tan
Ziruo Cai
Marcelo Pereyra
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
SSL
52
1
0
08 Apr 2024
GLIMPSE: Generalized Local Imaging with MLPs
GLIMPSE: Generalized Local Imaging with MLPs
AmirEhsan Khorashadizadeh
Valentin Debarnot
Tianlin Liu
Ivan Dokmanić
19
0
0
01 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography
  Reconstruction
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu
A. Perelli
8
1
0
19 Dec 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems
What's in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang
Sam Buchanan
Jeremias Sulam
20
11
0
22 Oct 2023
Deep Physics-Guided Unrolling Generalization for Compressed Sensing
Deep Physics-Guided Unrolling Generalization for Compressed Sensing
Bin Chen
Jie Song
Jingfen Xie
Jian Andrew Zhang
AI4CE
11
14
0
18 Jul 2023
Single-photon Image Super-resolution via Self-supervised Learning
Single-photon Image Super-resolution via Self-supervised Learning
Yiwei Chen
Chenbo Jiang
Yu Pan
11
2
0
03 Mar 2023
Cross-domain Self-supervised Framework for Photoacoustic Computed
  Tomography Image Reconstruction
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction
Hengrong Lan
Lijie Huang
Zhiqiang Li
Jing Lv
Jianwen Luo
ViT
OOD
14
1
0
17 Jan 2023
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
Julián Tachella
Dongdong Chen
Mike Davies
SSL
17
22
0
23 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in
  Two-Dimensional Fluids Using Convolutional Neural Networks
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
Y. Yasuda
R. Onishi
8
4
0
22 Feb 2022
Equivariance Regularization for Image Reconstruction
Equivariance Regularization for Image Reconstruction
Junqi Tang
13
2
0
10 Feb 2022
Robust Equivariant Imaging: a fully unsupervised framework for learning
  to image from noisy and partial measurements
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements
Dongdong Chen
Julián Tachella
Mike E. Davies
OOD
9
59
0
25 Nov 2021
Improving Transformation Invariance in Contrastive Representation
  Learning
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
46
22
0
19 Oct 2020
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