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Amortised MAP Inference for Image Super-resolution
v1v2v3 (latest)

Amortised MAP Inference for Image Super-resolution

International Conference on Learning Representations (ICLR), 2016
14 October 2016
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
ArXiv (abs)PDFHTML

Papers citing "Amortised MAP Inference for Image Super-resolution"

50 / 259 papers shown
Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
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Le Zhang
Ao Li
Qibin Hou
Ce Zhu
Yonina C. Eldar
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422
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0
19 Sep 2025
Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics
Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics
Maksim Bobrin
Ilya Zisman
Alexander Nikulin
Vladislav Kurenkov
Dmitry V. Dylov
OffRL
256
4
0
19 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
325
0
0
08 May 2025
Style Quantization for Data-Efficient GAN Training
Style Quantization for Data-Efficient GAN TrainingComputer Vision and Pattern Recognition (CVPR), 2025
Jian Wang
Xin Lan
Jizhe Zhou
Yuxin Tian
Jiancheng Lv
319
3
0
31 Mar 2025
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine SegmentationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Shubh Singhal
Raül Pérez-Gonzalo
Andreas Espersen
Antonio Agudo
318
3
0
31 Dec 2024
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component
  Regularization
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component RegularizationNeural Information Processing Systems (NeurIPS), 2024
Matthew Bendel
Rizwan Ahmad
P. Schniter
MedImDiffM
394
2
0
01 Nov 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural NetworksAnnals of Nuclear Energy (Ann. Nucl. Energy), 2024
Farah Alsafadi
Aidan Furlong
Xu Wu
UQCVAI4CE
301
11
0
09 Sep 2024
MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited
  Data
MS3^33D: A RG Flow-Based Regularization for GAN Training with Limited DataInternational Conference on Machine Learning (ICML), 2024
Jian Wang
Xin Lan
Yuxin Tian
Jiancheng Lv
AI4CE
234
2
0
20 Aug 2024
What makes an image realistic?
What makes an image realistic?
Lucas Theis
516
9
0
07 Mar 2024
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in
  Colonoscopy
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in ColonoscopyPLoS ONE (PLoS ONE), 2023
Lukasz Struski
Tomasz Urbañczyk
Krzysztof Bucki
Bartłomiej Cupiał
Aneta Kaczyńska
Przemysław Spurek
Jacek Tabor
MedImGAN
233
3
0
07 Nov 2023
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for
  Arbitrary Talking Face Generation Methods
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Yongyuan Li
Xiuyuan Qin
Chao Liang
Mingqiang Wei
253
5
0
14 Sep 2023
Deep Generative Modeling-based Data Augmentation with Demonstration
  using the BFBT Benchmark Void Fraction Datasets
Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction DatasetsNuclear Engineering and Design (Nucl. Eng. Des.), 2023
Farah Alsafadi
Xuehui Wu
211
10
0
19 Aug 2023
Stabilizing GANs' Training with Brownian Motion Controller
Stabilizing GANs' Training with Brownian Motion ControllerInternational Conference on Machine Learning (ICML), 2023
Tianjiao Luo
Ziyu Zhu
Jianfei Chen
Jun Zhu
167
5
0
18 Jun 2023
Exploring the Optimal Choice for Generative Processes in Diffusion
  Models: Ordinary vs Stochastic Differential Equations
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential EquationsNeural Information Processing Systems (NeurIPS), 2023
Yu Cao
Jingrun Chen
Yixin Luo
Xiaoping Zhou
DiffM
269
15
0
03 Jun 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
A Conditional Normalizing Flow for Accelerated Multi-Coil MR ImagingInternational Conference on Machine Learning (ICML), 2023
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
MedIm
255
12
0
02 Jun 2023
Generative Adversarial Shaders for Real-Time Realism Enhancement
Generative Adversarial Shaders for Real-Time Realism Enhancement
Arturo Salmi
Szabolcs Cséfalvay
J. Imber
GAN
229
2
0
24 May 2023
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
Qi Wang
Lucas Mahler
Julius Steiglechner
Florian Birk
K. Scheffler
Gabriele Lohmann
MedIm
282
6
0
24 Mar 2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables
  Generated using Diffusion Models
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
N. Kuo
Louisa R Jorm
S. Barbieri
DiffM
216
20
0
22 Mar 2023
A New Super-Resolution Measurement of Perceptual Quality and Fidelity
A New Super-Resolution Measurement of Perceptual Quality and Fidelity
Shengfu Cheng
SupR
187
1
0
10 Mar 2023
Improving GAN Training via Feature Space Shrinkage
Improving GAN Training via Feature Space Shrinkage
Haozhe Liu
Wentian Zhang
Bing Li
Haoqian Wu
Nanjun He
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GAN
279
8
0
02 Mar 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
Free Lunch for Domain Adversarial Training: Environment Label SmoothingInternational Conference on Learning Representations (ICLR), 2023
Yifan Zhang
Qingsong Wen
Jian Liang
Zhang Zhang
Liangsheng Wang
Rong Jin
Tien-Ping Tan
353
59
0
01 Feb 2023
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using
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Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep LearningInternational Symposium on Image and Signal Processing and Analysis (ISPA), 2021
T. Yu
Da Ma
Jayden Cole
M. Ju
M. Beg
M. Sarunic
157
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0
02 Jan 2023
Dual Generator Offline Reinforcement Learning
Dual Generator Offline Reinforcement Learning
Q. Vuong
Aviral Kumar
Sergey Levine
Yevgen Chebotar
OffRL
278
1
0
02 Nov 2022
Digital twins of physical printing-imaging channel
Digital twins of physical printing-imaging channelInternational Workshop on Information Forensics and Security (WIFS), 2022
Yury Belousov
Brian Pulfer
Roman Chaban
Joakim Tutt
O. Taran
T. Holotyak
Svyatoslav Voloshynovskiy
234
11
0
28 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery
  Problems
A Regularized Conditional GAN for Posterior Sampling in Image Recovery ProblemsNeural Information Processing Systems (NeurIPS), 2022
Matthew Bendel
Rizwan Ahmad
Philip Schniter
MedIm
518
11
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24 Oct 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial
  Networks
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks
Blake Bullwinkel
Dylan Randle
P. Protopapas
David Sondak
405
6
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15 Sep 2022
Gromov-Wasserstein Autoencoders
Gromov-Wasserstein AutoencodersInternational Conference on Learning Representations (ICLR), 2022
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GANDRL
298
18
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Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffMVLMMedIm
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1,984
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Lightweight Long-Range Generative Adversarial Networks
Lightweight Long-Range Generative Adversarial Networks
Bowen Li
Thomas Lukasiewicz
GAN
281
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08 Sep 2022
Deep filter bank regression for super-resolution of anisotropic MR brain
  images
Deep filter bank regression for super-resolution of anisotropic MR brain imagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Samuel W. Remedios
Shuo Han
Yuan Xue
A. Carass
T. Tran
Dzung L. Pham
Jerry L. Prince
SupRMedIm
208
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06 Sep 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for
  Solving Ill-Posed Problems with Conditional Flow Models
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models
John Shelton Hyatt
267
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Generating Synthetic Clinical Data that Capture Class Imbalanced
  Distributions with Generative Adversarial Networks: Example using
  Antiretroviral Therapy for HIV
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIVJournal of Biomedical Informatics (JBI), 2022
N. Kuo
Federico Garcia
Anders Sönnerborg
Maurizio Zazzi
Michael Böhm
Rolf Kaiser
Mark Polizzotto
Louisa R Jorm
S. Barbieri
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387
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Predictive Object-Centric Process Monitoring
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G. Lakemeyer
Wil M.P. van der Aalst
246
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Out-of-Distribution Detection with Class Ratio Estimation
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Mingtian Zhang
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Jingyu Sun
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Invertible Sharpening Network for MRI Reconstruction Enhancement
Invertible Sharpening Network for MRI Reconstruction EnhancementInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Siyuan Dong
Eric Z. Chen
Lin Zhao
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242
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Diffusion-GAN: Training GANs with Diffusion
Diffusion-GAN: Training GANs with DiffusionInternational Conference on Learning Representations (ICLR), 2022
Zhendong Wang
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
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A unified framework for dataset shift diagnostics
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Rafael Izbicki
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Conditional Injective Flows for Bayesian Imaging
Conditional Injective Flows for Bayesian ImagingIEEE Transactions on Computational Imaging (TCI), 2022
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Leonardo Salsi
Ali Aghababaei Harandi
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GSDA: Generative Adversarial Network-based Semi-Supervised Data
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Comparison and Analysis of Image-to-Image Generative Adversarial
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Mohammad Nayeem Teli
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290
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Compositional Transformers for Scene Generation
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Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited
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Bo Dai
Wayne Wu
Chen Change Loy
381
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Adversarial sampling of unknown and high-dimensional conditional
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Andrew Glaws
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Ryan N. King
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Improving the quality of generative models through Smirnov
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297
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