Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2210.08676
Cited By
v1
v2 (latest)
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks
17 October 2022
Dave Van Veen
Rogier van der Sluijs
Batu Mehmet Ozturkler
Arjun D Desai
Christian Blüthgen
R. Boutin
M. Willis
Gordon Wetzstein
David B. Lindell
S. Vasanawala
John M. Pauly
Akshay S. Chaudhari
SupR
MedIm
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks"
17 / 17 papers shown
Title
Any-resolution Training for High-resolution Image Synthesis
Lucy Chai
Michael Gharbi
Eli Shechtman
Phillip Isola
Richard Y. Zhang
63
71
0
14 Apr 2022
Zero-shot Blind Image Denoising via Implicit Neural Representations
Chaewon Kim
Jaeho Lee
Jinwoo Shin
59
13
0
05 Apr 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation
Arjun D Desai
Andrew M Schmidt
E. Rubin
Christopher M. Sandino
Marianne S. Black
...
R. Boutin
Christopher Ré
G. Gold
B. Hargreaves
Akshay S. Chaudhari
80
65
0
14 Mar 2022
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation
David B. Lindell
Dave Van Veen
Jeong Joon Park
Gordon Wetzstein
89
151
0
09 Dec 2021
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
Jaechang Kim
Yunjoo Lee
Seunghoon Hong
Jungseul Ok
SupR
CLL
52
13
0
30 Oct 2021
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
Liyue Shen
John M. Pauly
Lei Xing
69
202
0
24 Aug 2021
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
Qing Wu
Yuwei Li
Lan Xu
Rui-jun Feng
Hongjian Wei
Qing Yang
Boliang Yu
Xiaozhao Liu
Jingyi Yu
Yuyao Zhang
55
57
0
29 Jun 2021
Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta
Michael Gharbi
Connelly Barnes
Eli Shechtman
R. Ramamoorthi
Manmohan Chandraker
52
159
0
08 Apr 2021
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSL
SupR
CLL
89
679
0
16 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Matthew Tancik
B. Mildenhall
Terrance Wang
Divi Schmidt
Pratul P. Srinivasan
Jonathan T. Barron
Ren Ng
107
291
0
03 Dec 2020
Pre-Trained Image Processing Transformer
Hanting Chen
Yunhe Wang
Tianyu Guo
Chang Xu
Yiping Deng
Zhenhua Liu
Siwei Ma
Chunjing Xu
Chao Xu
Wen Gao
VLM
ViT
143
1,677
0
01 Dec 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
124
2,440
0
18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
165
2,571
0
17 Jun 2020
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
Reinhard Heckel
Mahdi Soltanolkotabi
DiffM
79
83
0
31 Oct 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
602
10,590
0
12 Dec 2018
Compressed Sensing with Deep Image Prior and Learned Regularization
Dave Van Veen
A. Jalal
Mahdi Soltanolkotabi
Eric Price
S. Vishwanath
A. Dimakis
70
182
0
17 Jun 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
182
5,921
0
10 Jul 2017
1