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2103.14756
Cited By
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
Andrew Wang
Mike Davies
MedIm
21
2
0
11 Oct 2024
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
Camille Castera
Peter Ochs
41
1
0
28 May 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Hongwei Tan
Ziruo Cai
Marcelo Pereyra
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
SSL
55
1
0
08 Apr 2024
GLIMPSE: Generalized Local Imaging with MLPs
AmirEhsan Khorashadizadeh
Valentin Debarnot
Tianlin Liu
Ivan Dokmanić
22
0
0
01 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu
A. Perelli
11
1
0
19 Dec 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang
Sam Buchanan
Jeremias Sulam
23
11
0
22 Oct 2023
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
Yiwei Chen
Chenbo Jiang
Yu Pan
11
2
0
03 Mar 2023
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
Julián Tachella
Dongdong Chen
Mike Davies
SSL
20
22
0
23 Mar 2022
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
Junqi Tang
16
2
0
10 Feb 2022
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements
Dongdong Chen
Julián Tachella
Mike E. Davies
OOD
11
59
0
25 Nov 2021
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
51
22
0
19 Oct 2020
1