Fetching the paper…
Reading the bibliography…
Capturing highly appreciated star field images is extremely challenging due to light pollution, the requirements of specialized hardware, and the high level of photographic skills needed.
Properties and performance of a center/surround retinex
Daniel J. Jobson, Zia ur Rahman, and Glenn A. Woodell · 1997
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, and Eero P. Simoncelli · 2004
Earlier work this paper cites.
Scope of validity of psnr in image/video quality assessment
Quan Huynh-Thu and Mohammed Ghanbari · 2008
Earlier work this paper cites.
Generative adversarial nets
Lan J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
U-net: Convolutional networks fr biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
The new world atlas of artificial night sky brightness
Fabio Falchi, Pierantonio Cinzano, Dan Duriscoe, Christopher C. M. Kyba, Christopher D. Elvidge, Kimberly Baugh, Boris A. Portnov, Nataliya A. Rybnikova, and Riccardo Furgoni · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
SGDR: Stochastic Gradient Descent with Warm Restarts
Ilya Loshchilov and Frank Hutter · 2016
Earlier work this paper cites.
Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W. Taylor · 2017
Earlier work this paper cites.
Llnet: A deep autoencoder approach to natural low-light image enhancement
Kin Gwn Lore, Adedotun Akintayo, and Soumik Sarkar · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Learning a deep single image contrast enhancer from multi-exposure images
Jianrui Cai, Shuhang Gu, and Lei Zhang · 2018
Earlier work this paper cites.
Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
Cited alongside, same era.
LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement
Chongyi Li, Jichang Guo, Fatih Porikli, and Yanwei Pang · 2018
Cited alongside, same era.
Deep retinex decomposition for low-light enhancement
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
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.
Kindling the darkness: A practical low-light image enhancer
Yonghua Zhang, Jiawan Zhang, and Xiaojie Guo · 2019
Cited alongside, same era.
Albumentations: Fast and flexible image augmentations
Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin, and Alexandr A. Kalinin · 2020
Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
Later among the works it cites.
Beyond brightening low-light images
Yonghua Zhang, Xiaojie Guo, Jiayi Ma, Wei Liu, and Jiawan Zhang · 2021
Later among the works it cites.
The simulated sky: Stellarium for cultural astronomy research
Georg Zotti, Susanne M. Hoffmann, Alexander Wolf, Fabien Chéreau, and Guillaume Chéreau · 2021
Later among the works it cites.
High-resolution image editing via multi-stage blended diffusion
Johannes Ackermann and Minjun Li · 2022
Closest in time.
Denoising diffusion restoration models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
Closest in time.
Learning to enhance low-light image via zero-reference deep curve estimation
Chongyi Li, Chunle Guo, and Chen Change Loy · 2022
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Zero-reference deep curve estimation for low-light image enhancement
Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Linformer: Self-attention with linear complexity
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, and Hao Ma · 2020
Cited alongside, same era.
From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement
Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, and Jiaying Liu · 2020
Cited alongside, same era.
Ilvr: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
Cited alongside, same era.
Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Closest in time.
Mbllen: Low-light image/video enhancement using cnns
Feifan Lv, Feng Lu, Jianhua Wu, and Chongsoon Lim · 2022
Closest in time.
Dancing under the stars: video denoising in starlight
Kristina Monakhova, Stephan R. Richter, Laura Waller, and Vladlen Koltun · 2022
Closest in time.
At-ddpm: Restoring faces degraded by atmospheric turbulence using denoising diffusion probabilistic models
Nithin Gopalakrishnan Nair, Kangfu Mei, and Vishal M. Patel · 2022
Closest in time.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Closest in time.
Palette: Image-to-image diffusion models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 2022
Closest in time.
Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, and Mohammad Norouzi · 2022
Closest in time.
Realistic galaxy image simulation via score-based generative models
Michael J Smith, James E Geach, Ryan A Jackson, Nikhil Arora, Connor Stone, and Sté phane Courteau · 2022
Closest in time.
Restoring vision in adverse weather conditions with patch-based denoising diffusion models
Ozan Özdenizci and Robert Legenstein · 2022
Closest in time.