Amortised MAP Inference for Image Super-resolution

14 October 2016

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

50 / 68 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 39 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 35 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 13 3 0 02 Jan 2023
Digital twins of physical printing-imaging channel Yury Belousov Brian Pulfer Roman Chaban Joakim Tutt O. Taran T. Holotyak S. Voloshynovskiy 21 9 0 28 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 29 4 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 15 11 0 15 Sep 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 29 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 22 24 0 23 Dec 2021
Top-Down Deep Clustering with Multi-generator GANs Daniel de Mello Renato M. Assunção Fabricio Murai 13 17 0 06 Dec 2021
Adversarial sampling of unknown and high-dimensional conditional distributions M. Hassanaly Andrew Glaws Karen Stengel Ryan N. King GAN 13 21 0 08 Nov 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 25 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 19 23 0 30 Jul 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Xiao Wang Qi Zhu AAML 11 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 29 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 22 142 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 22 60 0 31 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 36 478 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 27 112 0 18 Feb 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 13 25 0 15 Feb 2021
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Ning Yu Vladislav Skripniuk Dingfan Chen Larry S. Davis Mario Fritz WIGM 35 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 17 53 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 30 6 0 25 Sep 2020
AMRConvNet: AMR-Coded Speech Enhancement Using Convolutional Neural Networks Joshua Jose Williard 8 2 0 24 Aug 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 23 1,853 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 11 518 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 26 817 0 20 Jan 2020
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 21 61 0 09 Oct 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 125 100 0 28 Sep 2019
Underwater Image Super-Resolution using Deep Residual Multipliers M. Islam Sadman Sakib Enan Peigen Luo Junaed Sattar 21 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 21 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 27 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 11 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 13 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 29 208 0 22 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 17 269 0 29 Mar 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal Shashank Singh Barnabás Póczós 27 52 0 09 Feb 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation Wei Sun Tianfu Wu 13 13 0 18 Jan 2019
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 30 20 0 21 Nov 2018
Symbolic Music Genre Transfer with CycleGAN Gino Brunner Yuyi Wang Roger Wattenhofer Sumu Zhao GAN 22 72 0 20 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian V. Dalca MedIm 35 1,542 0 14 Sep 2018
LUCSS: Language-based User-customized Colourization of Scene Sketches C. Zou Haoran Mo Ruofei Du Xing Wu Chengying Gao Hongbo Fu 22 8 0 30 Aug 2018
Beyond Local Nash Equilibria for Adversarial Networks F. Oliehoek Rahul Savani Jose Gallego-Posada Elise van der Pol R. Groß GAN 10 43 0 18 Jun 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 22 68 0 06 Jun 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 23 15 0 29 May 2018
Image Restoration by Estimating Frequency Distribution of Local Patches Jaeyoung Yoo S. Lee Nojun Kwak 23 57 0 23 May 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 30 1,452 0 13 Jan 2018