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SRFlow: Learning the Super-Resolution Space with Normalizing Flow

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

25 June 2020
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
    SupR
    DRL
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Papers citing "SRFlow: Learning the Super-Resolution Space with Normalizing Flow"

43 / 193 papers shown
Title
IICNet: A Generic Framework for Reversible Image Conversion
IICNet: A Generic Framework for Reversible Image Conversion
Ka Leong Cheng
Yueqi Xie
Qifeng Chen
40
24
0
09 Sep 2021
Generalized Real-World Super-Resolution through Adversarial Robustness
Generalized Real-World Super-Resolution through Adversarial Robustness
Angela Castillo
María Escobar
Juan C. Pérez
Andrés Romero
Radu Timofte
Luc Van Gool
Pablo Arbelaez
19
16
0
25 Aug 2021
Hierarchical Conditional Flow: A Unified Framework for Image
  Super-Resolution and Image Rescaling
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
Jingyun Liang
Andreas Lugmayr
K. Zhang
Martin Danelljan
Luc Van Gool
Radu Timofte
37
101
0
11 Aug 2021
Enhanced Invertible Encoding for Learned Image Compression
Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie
Ka Leong Cheng
Qifeng Chen
41
189
0
08 Aug 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
Aihua Mao
Zihui Du
Junhui Hou
Yaqi Duan
Yong-jin Liu
Ying He
3DPC
29
35
0
13 Jul 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
A. Blattmann
Timo Milbich
Michael Dorkenwald
Bjorn Ommer
DiffM
VGen
14
41
0
06 Jul 2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich
T. Michaeli
Ron Meir
19
40
0
06 Jul 2021
Distilling the Knowledge from Conditional Normalizing Flows
Distilling the Knowledge from Conditional Normalizing Flows
Dmitry Baranchuk
Vladimir Aliev
Artem Babenko
BDL
28
2
0
24 Jun 2021
One-to-many Approach for Improving Super-Resolution
One-to-many Approach for Improving Super-Resolution
Sieun Park
Eunho Lee
SupR
23
1
0
19 Jun 2021
Invertible Attention
Invertible Attention
Jiajun Zha
Yiran Zhong
Jing Zhang
Richard I. Hartley
Liang Zheng
21
7
0
16 Jun 2021
WSRGlow: A Glow-based Waveform Generative Model for Audio
  Super-Resolution
WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution
Kexun Zhang
Yi Ren
Changliang Xu
Zhou Zhao
31
29
0
16 Jun 2021
Generating Data Augmentation samples for Semantic Segmentation of Salt
  Bodies in a Synthetic Seismic Image Dataset
Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset
Luis Felipe M.O. Henriques
S. Colcher
Ruy Luiz Milidiú
A. Bulcão
Pablo Barros
16
2
0
15 Jun 2021
Variational AutoEncoder for Reference based Image Super-Resolution
Variational AutoEncoder for Reference based Image Super-Resolution
Zhi-Song Liu
W. Siu
Li-Wen Wang
SupR
14
42
0
08 Jun 2021
Generative Flows with Invertible Attentions
Generative Flows with Invertible Attentions
R. Sukthanker
Zhiwu Huang
Suryansh Kumar
Radu Timofte
Luc Van Gool
16
14
0
07 Jun 2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
Goutam Bhat
Martin Danelljan
Radu Timofte
Kazutoshi Akita
Wooyeong Cho
...
Rao Muhammad Umer
Youliang Yan
Lei Yu
Magauiya Zhussip
X. Zou
SupR
8
38
0
07 Jun 2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud
  Generation and Reconstruction
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction
Janis Postels
Mengya Liu
Riccardo Spezialetti
Luc Van Gool
Federico Tombari
AI4CE
3DPC
6
22
0
06 Jun 2021
Noise Conditional Flow Model for Learning the Super-Resolution Space
Noise Conditional Flow Model for Learning the Super-Resolution Space
Younggeun Kim
Donghee Son
SupR
11
23
0
06 Jun 2021
CAFLOW: Conditional Autoregressive Flows
CAFLOW: Conditional Autoregressive Flows
Georgios Batzolis
M. Carioni
Christian Etmann
S. Afyouni
Zoe Kourtzi
Carola Bibiane Schönlieb
14
2
0
04 Jun 2021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
Dario Fuoli
Luc Van Gool
Radu Timofte
20
111
0
01 Jun 2021
Stochastic Image-to-Video Synthesis using cINNs
Stochastic Image-to-Video Synthesis using cINNs
Michael Dorkenwald
Timo Milbich
A. Blattmann
Robin Rombach
Konstantinos G. Derpanis
Bjorn Ommer
DiffM
VGen
13
54
0
10 May 2021
Toward Interactive Modulation for Photo-Realistic Image Restoration
Toward Interactive Modulation for Photo-Realistic Image Restoration
Haoming Cai
Jingwen He
Qiao Yu
Chao Dong
GAN
11
18
0
07 May 2021
COMISR: Compression-Informed Video Super-Resolution
COMISR: Compression-Informed Video Super-Resolution
Yinxiao Li
Pengchong Jin
Feng Yang
Ce Liu
Ming-Hsuan Yang
P. Milanfar
SupR
20
38
0
04 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic
  Models
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Haoying Li
Yifan Yang
Meng Chang
H. Feng
Zhi-hai Xu
Qi Li
Yue-ting Chen
DiffM
34
615
0
30 Apr 2021
SRWarp: Generalized Image Super-Resolution under Arbitrary
  Transformation
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
Sanghyun Son
Kyoung Mu Lee
40
35
0
21 Apr 2021
Posterior Sampling for Image Restoration using Explicit Patch Priors
Posterior Sampling for Image Restoration using Explicit Patch Priors
Roy Friedman
Yair Weiss
38
5
0
20 Apr 2021
VSpSR: Explorable Super-Resolution via Variational Sparse Representation
VSpSR: Explorable Super-Resolution via Variational Sparse Representation
Hang Zhou
Chao Huang
Shangqi Gao
Xiahai Zhuang
33
6
0
17 Apr 2021
Flow-based Kernel Prior with Application to Blind Super-Resolution
Flow-based Kernel Prior with Application to Blind Super-Resolution
Jingyun Liang
K. Zhang
Shuhang Gu
Luc Van Gool
Radu Timofte
SupR
22
126
0
29 Mar 2021
Equivariant Imaging: Learning Beyond the Range Space
Equivariant Imaging: Learning Beyond the Range Space
Dongdong Chen
Julián Tachella
Mike E. Davies
SSL
26
93
0
26 Mar 2021
D2C-SR: A Divergence to Convergence Approach for Real-World Image
  Super-Resolution
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution
Youwei Li
Haibin Huang
Lanpeng Jia
Haoqiang Fan
Shuaicheng Liu
DiffM
SupR
19
11
0
26 Mar 2021
Generating Novel Scene Compositions from Single Images and Videos
Generating Novel Scene Compositions from Single Images and Videos
V. Sushko
Dan Zhang
Juergen Gall
Anna Khoreva
GAN
25
15
0
24 Mar 2021
Deep Burst Super-Resolution
Deep Burst Super-Resolution
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
SupR
11
123
0
26 Jan 2021
DeFlow: Learning Complex Image Degradations from Unpaired Data with
  Conditional Flows
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
Valentin Wolf
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
17
41
0
14 Jan 2021
GAN Inversion: A Survey
GAN Inversion: A Survey
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
63
507
0
14 Jan 2021
Bayesian Image Reconstruction using Deep Generative Models
Bayesian Image Reconstruction using Deep Generative Models
Razvan V. Marinescu
Daniel Moyer
Polina Golland
OOD
DiffM
21
39
0
08 Dec 2020
Implicit Subspace Prior Learning for Dual-Blind Face Restoration
Implicit Subspace Prior Learning for Dual-Blind Face Restoration
Lingbo Yang
Pan Wang
Zhanning Gao
Shanshe Wang
Peiran Ren
Siwei Ma
Wen Gao
CVBM
17
1
0
12 Oct 2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
K. Zhang
Martin Danelljan
Yawei Li
Radu Timofte
Jie Liu
...
Wenhao Wang
Zhenbing Liu
Rushi Lan
Rao Muhammad Umer
C. Micheloni
SupR
23
88
0
15 Sep 2020
Image Super-Resolution using Explicit Perceptual Loss
Image Super-Resolution using Explicit Perceptual Loss
Tomoki Yoshida
Kazutoshi Akita
Muhammad Haris
Norimichi Ukita
SupR
15
1
0
01 Sep 2020
Re-thinking Co-Salient Object Detection
Re-thinking Co-Salient Object Detection
Deng-Ping Fan
Tengpeng Li
Zheng Lin
Ge-Peng Ji
Dingwen Zhang
Ming-Ming Cheng
H. Fu
Jianbing Shen
28
137
0
07 Jul 2020
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and
  Results
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
80
170
0
05 May 2020
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
Marcel C. Bühler
Andrés Romero
Radu Timofte
SupR
30
32
0
09 Apr 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
540
0
08 Mar 2020
Unsupervised Learning for Real-World Super-Resolution
Unsupervised Learning for Real-World Super-Resolution
Andreas Lugmayr
Martin Danelljan
Radu Timofte
SSL
SupR
134
167
0
20 Sep 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
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