Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation

18 April 2019

Papers citing "Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation"

11 / 11 papers shown

Title
Unprocessing Images for Learned Raw Denoising Tim Brooks B. Mildenhall Tianfan Xue Jiawen Chen Dillon Sharlet Jonathan T. Barron 75 440 0 27 Nov 2018
Neural Nearest Neighbors Networks Tobias Plötz Stefan Roth 70 339 0 30 Oct 2018
Toward Convolutional Blind Denoising of Real Photographs Shi Guo Zifei Yan Peng Sun W. Zuo Lei Zhang 86 911 0 12 Jul 2018
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 283 1,184 0 04 May 2018
Noise2Noise: Learning Image Restoration without Clean Data J. Lehtinen Jacob Munkberg J. Hasselgren S. Laine Tero Karras M. Aittala Timo Aila 81 1,604 0 12 Mar 2018
DeepISP: Towards Learning an End-to-End Image Processing Pipeline Eli Schwartz Raja Giryes A. Bronstein VLM 66 227 0 20 Jan 2018
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising Peng Sun W. Zuo Lei Zhang 125 2,123 0 11 Oct 2017
Benchmarking Denoising Algorithms with Real Photographs Tobias Plötz Stefan Roth 61 588 0 05 Jul 2017
Dirty Pixels: Towards End-to-End Image Processing and Perception Steven Diamond Vincent Sitzmann Frank D. Julca-Aguilar Stephen P. Boyd Gordon Wetzstein Felix Heide 107 54 0 23 Jan 2017
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 142 6,989 0 13 Aug 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014