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Explorable Super Resolution
v1v2v3 (latest)

Explorable Super Resolution

Computer Vision and Pattern Recognition (CVPR), 2019
4 December 2019
Yuval Bahat
T. Michaeli
    SupR
ArXiv (abs)PDFHTML

Papers citing "Explorable Super Resolution"

49 / 49 papers shown
Assessing the Impact of Image Super Resolution on White Blood Cell Classification Accuracy
Assessing the Impact of Image Super Resolution on White Blood Cell Classification Accuracyinternational journal of engineering trends and technology (IJETT), 2025
Tatwadarshi P Nagarhalli
Shruti S. Pawar
Soham A. Dahanukar
Uday Aswalekar
Ashwini M. Save
Sanket Patil
79
0
0
04 Aug 2025
Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution
Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution
Weiming Ren
Raghav Goyal
Zhiming Hu
Tristan Aumentado-Armstrong
Iqbal Mohomed
Alex Levinshtein
186
3
0
18 Jul 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Augmenting Perceptual Super-Resolution via Image Quality PredictorsComputer Vision and Pattern Recognition (CVPR), 2025
Fengjia Zhang
Samrudhdhi B. Rangrej
Tristan Aumentado-Armstrong
Afsaneh Fazly
Alex Levinshtein
SupR
314
2
0
25 Apr 2025
SuperGaussian: Repurposing Video Models for 3D Super Resolution
SuperGaussian: Repurposing Video Models for 3D Super Resolution
Yuan Shen
Duygu Ceylan
Paul Guerrero
Zexiang Xu
Niloy J. Mitra
Shenlong Wang
Anna Frühstück
507
16
0
02 Jun 2024
RaFE: Generative Radiance Fields Restoration
RaFE: Generative Radiance Fields RestorationEuropean Conference on Computer Vision (ECCV), 2024
Zhongkai Wu
Bo Liu
Jing Zhang
Jing Liao
Dong Xu
226
5
0
04 Apr 2024
Text-guided Explorable Image Super-resolution
Text-guided Explorable Image Super-resolution
Kanchana Vaishnavi Gandikota
Paramanand Chandramouli
283
10
0
02 Mar 2024
Generative Adversarial Models for Extreme Downscaling of Climate
  Datasets
Generative Adversarial Models for Extreme Downscaling of Climate Datasets
Guiye Li
Guofeng Cao
AI4CE
154
0
0
21 Feb 2024
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
264
1
0
19 Feb 2024
Neural Spline Fields for Burst Image Fusion and Layer Separation
Neural Spline Fields for Burst Image Fusion and Layer Separation
Ilya Chugunov
David Shustin
Ruyu Yan
Chenyang Lei
Felix Heide
163
20
0
21 Dec 2023
FLAIR: A Conditional Diffusion Framework with Applications to Face Video
  Restoration
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zihao Zou
Jiaming Liu
Shirin Shoushtari
Yubo Wang
Weijie Gan
Ulugbek S. Kamilov
VGenDiffM
253
4
0
26 Nov 2023
From Posterior Sampling to Meaningful Diversity in Image Restoration
From Posterior Sampling to Meaningful Diversity in Image RestorationInternational Conference on Learning Representations (ICLR), 2023
Noa Cohen
Hila Manor
Yuval Bahat
T. Michaeli
DiffM
345
13
0
24 Oct 2023
Attention-based CT Scan Interpolation for Lesion Segmentation of
  Colorectal Liver Metastases
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases
M. Hamghalam
Richard K G Do
Amber L. Simpson
MedIm
213
6
0
30 Aug 2023
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise
  Reduction
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise ReductionJournal of Imaging (JI), 2023
Deborah Pereg
OOD
177
5
0
13 Jun 2023
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution
Super-NeRF: View-consistent Detail Generation for NeRF super-resolutionIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Yuqi Han
Tao Yu
Xiaohang Yu
Yuwang Wang
Qionghai Dai
SupR
174
20
0
26 Apr 2023
Joint Learning of Blind Super-Resolution and Crack Segmentation for
  Realistic Degraded Images
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded ImagesIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023
Yuki Kondo
Norimichi Ukita
SupR
301
15
0
24 Feb 2023
Kernelized Back-Projection Networks for Blind Super Resolution
Kernelized Back-Projection Networks for Blind Super Resolution
Tomoki Yoshida
Yuki Kondo
Takahiro Maeda
Kazutoshi Akita
Norimichi Ukita
SupR
310
2
0
16 Feb 2023
Neural Volume Super-Resolution
Neural Volume Super-Resolution
Yuval Bahat
Yuxuan Zhang
Hendrik Sommerhoff
A. Kolb
Felix Heide
SupR
238
7
0
09 Dec 2022
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelInternational Conference on Learning Representations (ICLR), 2022
Yinhuai Wang
Jiwen Yu
Jian Zhang
DiffM
548
610
0
01 Dec 2022
GAN Prior based Null-Space Learning for Consistent Super-Resolution
GAN Prior based Null-Space Learning for Consistent Super-ResolutionAAAI Conference on Artificial Intelligence (AAAI), 2022
Yinhuai Wang
Yu Fei Hu
Jiwen Yu
Jian Zhang
SupR
140
47
0
24 Nov 2022
Reasons for the Superiority of Stochastic Estimators over Deterministic
  Ones: Robustness, Consistency and Perceptual Quality
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual QualityInternational Conference on Machine Learning (ICML), 2022
Guy Ohayon
Theo Adrai
Michael Elad
T. Michaeli
AAML
259
18
0
16 Nov 2022
Rethinking Super-Resolution as Text-Guided Details Generation
Rethinking Super-Resolution as Text-Guided Details GenerationACM Multimedia (ACM MM), 2022
Wenxuan Yang
Bo Yan
Qing Lin
Weimin Tan
Siming Chen
188
7
0
14 Jul 2022
Diverse super-resolution with pretrained deep hiererarchical VAEs
Diverse super-resolution with pretrained deep hiererarchical VAEs
Jean Prost
Antoine Houdard
Andrés Almansa
Nicolas Papadakis
DiffM
384
0
0
20 May 2022
Flexible Style Image Super-Resolution using Conditional Objective
Flexible Style Image Super-Resolution using Conditional ObjectiveIEEE Access (IEEE Access), 2022
Seungcheol Park
Young-Su Moon
N. Cho
SupR
215
22
0
13 Jan 2022
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
Rahul Dey
Vishnu Boddeti
CVBM3DH
333
8
0
01 Dec 2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic
  Super-resolution
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
Andreas Lugmayr
Martin Danelljan
Feng Yu
Luc Van Gool
Radu Timofte
183
15
0
05 Nov 2021
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with
  Radiometric Consistency Losses and Its Effect on Building Delineation
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building DelineationIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2021
Muhammed Razzak
Gonzalo Mateo-García
L. Gómez-Chova
Y. Gal
F. Kalaitzis
162
57
0
05 Nov 2021
Structure-Preserving Image Super-Resolution
Structure-Preserving Image Super-ResolutionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Cheng Ma
Yongming Rao
Jiwen Lu
Jie Zhou
SupR
236
95
0
26 Sep 2021
Toward Real-World Super-Resolution via Adaptive Downsampling Models
Toward Real-World Super-Resolution via Adaptive Downsampling ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Sanghyun Son
Jaeha Kim
Wei-Sheng Lai
Ming-Husan Yang
Kyoung Mu Lee
127
45
0
08 Sep 2021
Thermal Image Super-Resolution Using Second-Order Channel Attention with
  Varying Receptive Fields
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive FieldsInternational Conference on Virtual Storytelling (ICVS), 2021
Nolan B. Gutierrez
William J. Beksi
SupR
163
4
0
30 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
227
57
0
06 Jul 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
136
44
0
08 Jun 2021
SNIPS: Solving Noisy Inverse Problems Stochastically
SNIPS: Solving Noisy Inverse Problems StochasticallyNeural Information Processing Systems (NeurIPS), 2021
Bahjat Kawar
Gregory Vaksman
Michael Elad
332
233
0
31 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
184
20
0
07 May 2021
SRWarp: Generalized Image Super-Resolution under Arbitrary
  Transformation
SRWarp: Generalized Image Super-Resolution under Arbitrary TransformationComputer Vision and Pattern Recognition (CVPR), 2021
Sanghyun Son
Kyoung Mu Lee
334
44
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
201
6
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
170
7
0
17 Apr 2021
Video-Specific Autoencoders for Exploring, Editing and Transmitting
  Videos
Video-Specific Autoencoders for Exploring, Editing and Transmitting Videos
Kevin Wang
Deva Ramanan
Aayush Bansal
VGen
96
1
0
31 Mar 2021
Training a Task-Specific Image Reconstruction Loss
Training a Task-Specific Image Reconstruction LossIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Aamir Mustafa
A. Mikhailiuk
Dan-Andrei Iliescu
Varun Babbar
Rafał K. Mantiuk
DRLSupR
190
31
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-ResolutionEuropean Conference on Computer Vision (ECCV), 2021
Youwei Li
Haibin Huang
Lanpeng Jia
Haoqiang Fan
Shuaicheng Liu
DiffMSupR
182
16
0
26 Mar 2021
Conditional Frechet Inception Distance
Conditional Frechet Inception Distance
Michael Soloveitchik
Tzvi Diskin
E. Morin
A. Wiesel
EGVM
230
42
0
21 Mar 2021
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
High Perceptual Quality Image Denoising with a Posterior Sampling CGAN
Guy Ohayon
Theo Adrai
Gregory Vaksman
Michael Elad
P. Milanfar
GAN
232
46
0
06 Mar 2021
Sparsity Aware Normalization for GANs
Sparsity Aware Normalization for GANsAAAI Conference on Artificial Intelligence (AAAI), 2021
I. Kligvasser
T. Michaeli
GAN
242
6
0
03 Mar 2021
A Generative Model for Hallucinating Diverse Versions of Super
  Resolution Images
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images
M. Abid
Ihsen Hedhli
Christian Gagné
DiffM
141
3
0
12 Feb 2021
Stochastic Image Denoising by Sampling from the Posterior Distribution
Stochastic Image Denoising by Sampling from the Posterior Distribution
Bahjat Kawar
Gregory Vaksman
Michael Elad
DiffM
332
71
0
23 Jan 2021
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Lucas Beerens
Martin Danelljan
Yawei Li
Radu Timofte
Jie Liu
...
Wenhao Wang
Zhenbing Liu
Rushi Lan
Rao Muhammad Umer
C. Micheloni
SupR
193
99
0
15 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
Huazhu Fu
Jianbing Shen
311
163
0
07 Jul 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
SRFlow: Learning the Super-Resolution Space with Normalizing FlowEuropean Conference on Computer Vision (ECCV), 2020
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
SupRDRL
329
402
0
25 Jun 2020
What's in the Image? Explorable Decoding of Compressed Images
What's in the Image? Explorable Decoding of Compressed Images
Yuval Bahat
T. Michaeli
DiffM
183
3
0
16 Jun 2020
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionAsian Conference on Computer Vision (ACCV), 2020
Marcel C. Bühler
Andrés Romero
Radu Timofte
SupR
350
34
0
09 Apr 2020
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