Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Articles citing Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Title / Author	Year
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising K Zhang, W Zuo, Y Chen, D Meng, L Zhang IEEE Transactions on Image Processing 26 (7), 3142-3155	2017
Enhanced deep residual networks for single image super-resolution B Lim, S Son, H Kim, S Nah, K Mu Lee Proceedings of the IEEE conference on computer vision and pattern …	2017
Accelerating the super-resolution convolutional neural network C Dong, CC Loy, X Tang European conference on computer vision, 391-407	2016
Deep laplacian pyramid networks for fast and accurate super-resolution WS Lai, JB Huang, N Ahuja, MH Yang Proceedings of the IEEE conference on computer vision and pattern …	2017
Deep convolutional neural network for inverse problems in imaging KH Jin, MT McCann, E Froustey, M Unser IEEE Transactions on Image Processing 26 (9), 4509-4522	2017
Image super-resolution via deep recursive residual network Y Tai, J Yang, X Liu Proceedings of the IEEE conference on computer vision and pattern …	2017
The unreasonable effectiveness of deep features as a perceptual metric R Zhang, P Isola, AA Efros, E Shechtman, O Wang Proceedings of the IEEE conference on computer vision and pattern …	2018
Residual dense network for image super-resolution Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …	2018
Learning deep CNN denoiser prior for image restoration K Zhang, W Zuo, S Gu, L Zhang Proceedings of the IEEE conference on computer vision and pattern …	2017
Deep image prior D Ulyanov, A Vedaldi, V Lempitsky Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Image super-resolution using very deep residual channel attention networks Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu Proceedings of the European Conference on Computer Vision (ECCV), 286-301	2018
Ntire 2017 challenge on single image super-resolution: Dataset and study E Agustsson, R Timofte Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Memnet: A persistent memory network for image restoration Y Tai, J Yang, X Liu, C Xu Proceedings of the IEEE international conference on computer vision, 4539-4547	2017
Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …	2017
Esrgan: Enhanced super-resolution generative adversarial networks X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy Proceedings of the European Conference on Computer Vision (ECCV), 0-0	2018
Image super-resolution using dense skip connections T Tong, G Li, X Liu, Q Gao Proceedings of the IEEE International Conference on Computer Vision, 4799-4807	2017
Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng Advances in neural information processing systems, 4467-4475	2017
Enhancenet: Single image super-resolution through automated texture synthesis MSM Sajjadi, B Scholkopf, M Hirsch Proceedings of the IEEE International Conference on Computer Vision, 4491-4500	2017
Deep back-projection networks for super-resolution M Haris, G Shakhnarovich, N Ukita Proceedings of the IEEE conference on computer vision and pattern …	2018
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction E Kang, J Min, JC Ye Medical physics 44 (10), e360-e375	2017

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