Amortised MAP Inference for Image Super-resolution

14 October 2016

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

50 / 86 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 41 3 0 09 Sep 2024
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging Qi Wang Lucas Mahler Julius Steiglechner Florian Birk K. Scheffler Gabriele Lohmann MedIm 43 4 0 24 Mar 2023
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning T. Yu Da Ma Jayden Cole M. Ju M. Beg M. Sarunic 17 3 0 02 Jan 2023
Dual Generator Offline Reinforcement Learning Q. Vuong Aviral Kumar Sergey Levine Yevgen Chebotar OffRL 34 1 0 02 Nov 2022
Digital twins of physical printing-imaging channel Yury Belousov Brian Pulfer Roman Chaban Joakim Tutt O. Taran T. Holotyak Slava Voloshynovskiy 35 9 0 28 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 37 5 0 24 Oct 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel Dylan Randle P. Protopapas David Sondak 24 3 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models John Shelton Hyatt 12 1 0 24 Aug 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 37 5 0 06 Jun 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 26 16 0 15 Apr 2022
Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey Sagar Saxena Mohammad Nayeem Teli EGVM GAN MedIm 33 25 0 23 Dec 2021
Top-Down Deep Clustering with Multi-generator GANs Daniel de Mello Renato M. Assunção Fabricio Murai 21 17 0 06 Dec 2021
Compositional Transformers for Scene Generation Drew A. Hudson C. L. Zitnick ViT 34 34 0 17 Nov 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data Liming Jiang Bo Dai Wayne Wu Chen Change Loy 89 104 0 12 Nov 2021
Adversarial sampling of unknown and high-dimensional conditional distributions M. Hassanaly Andrew Glaws Karen Stengel Ryan N. King GAN 27 21 0 08 Nov 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 36 8 0 26 Aug 2021
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks Alberto Mozo Ángel González-Prieto Antonio Agustin Pastor Perales Sandra Gómez Canaval Edgar Talavera 27 23 0 30 Jul 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 37 26 0 10 Jun 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 35 142 0 07 Apr 2021
Dual Contrastive Loss and Attention for GANs Ning Yu Guilin Liu Aysegül Dündar Andrew Tao Bryan Catanzaro Larry S. Davis Mario Fritz GAN 34 60 0 31 Mar 2021
Best-Buddy GANs for Highly Detailed Image Super-Resolution Wenbo Li Kun Zhou Lu Qi Liying Lu Nianjuan Jiang Jiangbo Lu Jiaya Jia GAN 16 72 0 29 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 481 0 08 Mar 2021
A Comprehensive Review of Deep Learning-based Single Image Super-resolution S. M. A. Bashir Yi Wang Mahrukh Khan Yilong Niu SupR AI4Cl 40 112 0 18 Feb 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 19 25 0 15 Feb 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 53 51 0 14 Jan 2021
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Ning Yu Vladislav Skripniuk Dingfan Chen Larry S. Davis Mario Fritz WIGM 46 89 0 16 Dec 2020
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis Qingyun Wang Qi Zeng Lifu Huang Kevin Knight Heng Ji Nazneen Rajani 25 54 0 13 Oct 2020
Tarsier: Evolving Noise Injection in Super-Resolution GANs Baptiste Roziere Nathanal Carraz Rakotonirina Vlad Hosu Andry Rasoanaivo Hanhe Lin Camille Couprie O. Teytaud 38 6 0 25 Sep 2020
AMRConvNet: AMR-Coded Speech Enhancement Using Convolutional Neural Networks Joshua Jose Williard 13 2 0 24 Aug 2020
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 16 5 0 02 Jul 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 78 1,856 0 11 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 520 0 12 May 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 28 818 0 20 Jan 2020
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 24 61 0 09 Oct 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 0 28 Sep 2019
Underwater Image Super-Resolution using Deep Residual Multipliers M. Islam Sadman Sakib Enan Peigen Luo Junaed Sattar 29 66 0 20 Sep 2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution Wenming Yang Xuechen Zhang Yapeng Tian Wei Wang Jing-Hao Xue Q. Liao 26 16 0 09 Sep 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 35 24 0 14 Aug 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 20 36 0 26 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image Ziqiang Zheng Yang Wu Zhibin Yu Yang Yang Haiyong Zheng T. Kanade GAN 21 0 0 16 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 29 209 0 22 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 34 269 0 29 Mar 2019
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 24 1,416 0 16 Feb 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal Shashank Singh Barnabás Póczós 30 52 0 09 Feb 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation Wei Sun Tianfu Wu 21 13 0 18 Jan 2019
Improving MMD-GAN Training with Repulsive Loss Function Wei Wang Yuan Sun Saman K. Halgamuge GAN 17 79 0 24 Dec 2018