Fetching the paper…
Reading the bibliography…
In many applications of long-range imaging, we are faced with a scenario where a person appearing in the captured imagery is often degraded by atmospheric turbulence.
Best practices for convolutional neural networks applied to visual document analysis
Patrice Y. Simard, David Steinkraus, and John C. Platt · 2003
Earlier work this paper cites.
From learning models of natural image patches to whole image restoration
Daniel Zoran and Yair Weiss · 2011
Earlier work this paper cites.
Technique for simulating anisoplanatic image formation over long horizontal paths
Jeremy P. Bos and Michael C. Roggemann · 2012
Earlier work this paper cites.
Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C. Bovik · 2012
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Statistical optics
Joseph W. Goodman · 2015
Earlier work this paper cites.
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
Earlier work this paper cites.
Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A. Efros · 2016
Earlier work this paper cites.
Towards principled methods for training generative adversarial networks
Martin Arjovsky and Léon Bottou · 2017
Earlier work this paper cites.
Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis
Russell C. Hardie, Jonathan D. Power, Daniel A. LeMaster, Douglas R. Droege, Szymon Gladysz, and Santasri Bose-Pillai · 2017
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
Earlier work this paper cites.
What uncertainties do we need in bayesian deep learning for computer vision?
Alex Kendall and Yarin Gal · 2017
Earlier work this paper cites.
The 2018 pirm challenge on perceptual image super-resolution
Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, and Lihi Zelnik-Manor · 2018
Earlier work this paper cites.
Subsampled turbulence removal network
Wai Ho Chak, Chun Pong Lau, and Lok Ming Lui · 2018
Earlier work this paper cites.
Inverting the generator of a generative adversarial network
Antonia Creswell and Anil Anthony Bharath · 2018
Earlier work this paper cites.
Learning warped guidance for blind face restoration
Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, and Ruigang Yang · 2018
Earlier work this paper cites.
Invertibility of convolutional generative networks from partial measurements
Fangchang Ma, Ulas Ayaz, and Sertac Karaman · 2018
Earlier work this paper cites.
Maintaining natural image statistics with the contextual loss
Roey Mechrez, Itamar Talmi, Firas Shama, and Lihi Zelnik-Manor · 2018
Cited alongside, same era.
The contextual loss for image transformation with non-aligned data
Roey Mechrez, Itamar Talmi, and Lihi Zelnik-Manor · 2018
Cited alongside, same era.
Imaging through turbulence
Michael C. Roggemann and Byron M. Welsh · 2018
Cited alongside, same era.
Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Seeing what a gan cannot generate
David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, and Antonio Torralba · 2019
Learning to Restore a Single Face Image Degraded by Atmospheric Turbulence using CNNs
Rajeev Yasarla and Vishal M. Patel · 2020
Later among the works it cites.
Glean: Generative latent bank for large-factor image super-resolution
Kelvin CK Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy · 2021
Closest in time.
Progressive semantic-aware style transformation for blind face restoration
Chaofeng Chen, Xiaoming Li, Lingbo Yang, Xianhui Lin, Lei Zhang, and Kwan-Yee K. Wong · 2021
Closest in time.
ATFaceGAN: Single Face Semantic Aware Image Restoration and Recognition From Atmospheric Turbulence
Chun Pong Lau, Carlos D. Castillo, and Rama Chellappa · 2021
Closest in time.
Subsampled turbulence removal network
Chun Pong Lau and Lok Ming Lui · 2021
Closest in time.
Anycost gans for interactive image synthesis and editing
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Retinaface: Single-stage dense face localisation in the wild
Jiankang Deng, Jia Guo, Yuxiang Zhou, Jinke Yu, Irene Kotsia, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Cited alongside, same era.
Deep learning for single image super-resolution: A brief review
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, and Qingmin Liao · 2019
Cited alongside, same era.
Simulating anisoplanatic turbulence by sampling correlated Zernike coefficients
Nicholas Chimitt and Stanley H. Chan · 2020
Cited alongside, same era.
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, and Jun-Yan Zhu · 2021
Closest in time.
Accelerating atmospheric turbulence simulation via learned phase-to-space transform
Zhiyuan Mao, Nicholas Chimitt, and Stanley H Chan · 2021
Closest in time.
Confidence Guided Network For Atmospheric Turbulence Mitigation
Nithin Gopalakrishnan Nair and Vishal M. Patel · 2021
Closest in time.
Exploiting deep generative prior for versatile image restoration and manipulation
Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, and Ping Luo · 2021
Closest in time.
Encoding in style: a stylegan encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2021
Closest in time.
Closed-form factorization of latent semantics in gans
Yujun Shen and Bolei Zhou · 2021
Closest in time.
Designing an encoder for stylegan image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 2021
Closest in time.
Towards Real-World Blind Face Restoration with Generative Facial Prior
Xintao Wang, Yu Li, Honglun Zhang, and Ying Shan · 2021
Closest in time.
Towards Vivid and Diverse Image Colorization with Generative Color Prior
Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, and Ying Shan · 2021
Closest in time.
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang · 2021
Closest in time.
GAN Prior Embedded Network for Blind Face Restoration in the Wild
Tao Yang, Peiran Ren, Xuansong Xie, and Lei Zhang · 2021
Closest in time.
Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty
Rajeev Yasarla and Vishal M. Patel · 2021
Closest in time.