Hu Xuecai, Mu Haoyuan,,, Wang,
[ pdf ]
Blind super-resolution algorithm based on iterative kernel correction
Gu, Hannan Road, Zuo, Zhao Dong
[ pdf ]
Super resolution of camera lens
, Xiong Zhiwei, Tian, Cha Zhengjun, Feng Wu
[pdf], [supplement]
Deep Plug-and-Play Super Resolution for Arbitrary Fuzzy Kernels
, left,
[ pdf ]
Real scene super-resolution oriented to original image
, Ma Yongrui, Sun Wenxiu
[ pdf ]
Design of Single Image Super-resolution Network Based on ODE
He Xiangyu, Mo Zitao, Wang Peisong,
[pdf], [supplement]
Feedback network of image super-resolution
Zhen Li, Yang Jinglei, Zheng Liu, Yang Xiaomin, guangji town, Wei Wu.
[pdf], [supplement]
Recursive backprojection network for video super-resolution
Mohammad Harris, Gregory Schachner Rovich, Norimic Ukita.
[pdf], [supplement]
Image Super-resolution Based on Neurotexture Transfer
Zhang, Wang, Lin Zhe, Qi Hairong
[ pdf ]
Super-resolution of natural realistic single image based on explicit natural manifold discrimination
Su Zaixiong, Park Guyong, Cho Joon-Ho, Nanichi Town
[pdf], [supplement]
3D Appearance Super-resolution with Deep Learning
Li, Vagia Chiminaki, Radu Timofte, Mark Poliphis, Luc Van Gul.
[pdf], [supplement]
Fast spatio-temporal residual network of video super-resolution
, He Fengxiang, Zhang, Xu Yonghao, Tao Dacheng
[pdf], [supplement]
Residual network of super-resolution of light field image
Zhang Shuo, Youfang Lin, Hao Sheng
[ pdf ]
Second-order attention network for super-resolution of a single image
, Cai Jianrui,, Shu,
[ pdf ]，[ pdf ]
Optimizing the Super-resolution of Hyperspectral Images Guided by RGB
, Zhang Tao, Zheng Yinqiang, Zhang Debing,
[ pdf ]
Parallax Attention Learning of Stereo Image Super-resolution
Wang Longguang, Liang, Lin Zaiping, Andrew West, Guo Yulan.
[pdf], [supplement]
Face super-resolution guided by facial component thermogram
Xin Yu, Basula Fernando, Bernard Ghanem, Fatih Rikli, Richard Hartley.
[ pdf ]
Image Super-resolution Based on Depth Residual Channel Attention Network
Zhang Yulun, Li Kunpeng, Wang Lichen, Zhong Bineng, Fu Yun
[ pdf ]
Super-resolution sparse view CT reconstruction
Zang Guangming, Mohamed Aly, Ramzi Idoughi, Peter Wonka, Wolfgang Heidrich.
[ pdf ]
Fast, accurate and lightweight super-resolution using cascaded residual network
Namhyuk Ahn，Byungkon Kang，Kyung-Ah Sohn
[ pdf ]
SRFeat: Super-resolution of a single image with feature discrimination
Park Chengzhen, Li Chengshuo, Zhao Chengxian, Hong Jisheng, Li Chengyong
[ pdf ]
To learn the image super-resolution, first use GAN to learn how to degrade the image.
Adrian Blatter, Yang Jing, St. George ZMiropoulos
[ pdf ]
Multi-scale residual network of image super-resolution
, Fang Faming, Mei, Zhang Guixu
[ pdf ]
Super-FAN: GANs is used to integrate facial marker positioning and super-resolution processing for low-resolution faces with arbitrary poses in the real world.
Saint George ZiMiropoulos Adrian Blatter
[pdf] [supplement]
Countering ill-posed with ill-posed: Shadow-based Single Variable Depth Super-resolution
Bjorn Haefner, Ivan Quio, Thomas? Daniel kremers Lehnhof
[pdf] [supplement]
Restoration of realistic texture in image super-resolution by depth space feature transformation
Wang, Ke Yu, Zhao Dong, Chen Bianlai.
[ pdf ]
Fast and accurate single image super-resolution based on information extraction network
Zheng Hui, Wang Xiumei, Gao Xinbo
[ pdf ]
Image super-resolution based on binary recursive network
, Shiyu Chang, Mo Yu, Michael Wittbrock,
[ pdf ]
Depth backprojection network for super resolution
Mohammad Harris, Gregory Schachner Rovich, Norimic Ukita.
[pdf] [supplement]
Residual dense network of image super-resolution
Zhang Yulun, Tian, Kong, Zhong Bingneng, Fu Yun
[ pdf ]
FSRNet: end-to-end learning facial super-resolution with facial prior
Joy chen, Yingtai, Liu Xiaoming, Shen Chunhua and Emperor Wen of Sui.
[ pdf ]
Unsupervised sparse Dirichlet network for hyperspectral image super-resolution
, Qi Hairong, Guan Zhiman
[ pdf ]
"Zero Shooting" Super Resolution Using Deep Internal Learning
Asaf Schocher, Nadaf Cohen, Michael irani.
[ pdf ]
Deep video super-resolution network using dynamic upsampling filter without explicit motion compensation
Zhao Yingxian, Wu Shangwu, Jiang Zaiyan, Jin Shunzhu
[pdf] [supplement]
Learning a Single Convolutional Super-resolution Network for Multiple Degenerations
, left,
[ pdf ]
Features super resolution: make the machine see more clearly.
Tan Weimin, Bo Yan, Bahetial Barr
[ pdf ]
Frame reproduction video super resolution
Mehdi Sadjadi, Ravtega Wimulapari, Matthew Brown.
[ pdf ]
Temporal shape super-resolution of intra-frame motion coding using high Fps structured light
Yuji Shibata, Xiao Ye Satoshi, Furukawa Ryo, Shinto's new work, Kawasaki Hiroshi.
[pdf] [Supp] [video]
Robust video super-resolution with learning time dynamics
, Wang, Fan, Wang, Zhang, Huang
[ pdf ]
Details reveal depth video super resolution
Gao Hongyun, Liao, Jia Yajia
[pdf] [video]
EnhanceNet: Super-resolution of a single image is achieved through automatic texture synthesis.
Mehdi Sadjadi, bernhard Schor Kopf, Michael Hirsch.
[pdf] [Supp ][ video]
Joint estimation of camera attitude, depth, deblurring and super-resolution from blurred image sequences
Haisuoer Park in Jingmuli
[pdf] [supplement]
Image super-resolution using dense jump connection
, Liu, Gao
[ pdf ]
Fast and accurate super-resolution deep Laplacian pyramid network
Lai Weisheng, Jia, Narendra Ahujia, Ming
[ pdf ]
Image Super-resolution Based on Deep Recursive Residual Network
Liu Xiaoming yangjian Yingtai
[ pdf ]
Photo-level single image super-resolution using generated countermeasure network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, and Shi.
[pdf] [poster] [video]
Real-time video super-resolution based on spatio-temporal network and motion compensation
Jose cavallero, Christian Lediger, Andrew aitken, Alejandro acosta, Johannes Totz, Shirley Shi.
[pdf] [poster]
Hyperspectral image super-resolution based on nonlocal sparse tensor decomposition
Point, Fang Leyuan, Li Shutao
[pdf] [poster]
Simultaneous super-resolution and cross-modal synthesis of 3D medical images using weakly supervised joint convolutional sparse coding
Huang, Shao Ling, Alejandro Frankie
[pdf] [poster]
Reference guided depth super-resolution through local external compensation of manifold
Yang, Xia Sifeng, and
Accepted by IEEE Trans. On the Circuit System of Video Technology (TCSVT), June 20 18.
[project]
Joint feature guidance depth map super-resolution with face prior
, Liu Jiaying, Fang Fang
IEEE Trans。 On cybernetics (TCYB), vol. 48,No. 1 issue, No.399-4 1 page, 20 18 years1month.
[project]
Deep edge-guided recursive residual learning for image super-resolution
Yang, Feng Jiashi, Yang Jianchao,,, Yan Shuicheng
IEEE Trans。 TIP, Volume 26,No. 12, pp. 5895-5907, 20 171February.
[project]
Image super-resolution retrieval compensates for the sparsity of group structure.
, Yang, Zhang Xinfeng and
IEEE Trans。 On Multimedia (TMM), Volume 19, No.2, Page 302-2 16, February 20 17.
[project]
ECCV20 16
Accelerated super-resolution convolutional neural network
Zhao Dong, Chen Bianalai, Tang Xiaoou
[project]
Real-time Style Conversion and Perceived Loss of Super-resolution
Li Feifei Alexandre Arashi Justin Johnson
[ pdf ]
End-to-end image super-resolution based on depth convolution network
, Lijun Wang, Wang Hongyu, Li Peihua
[ pdf ]
Deep recursive convolution network for image super-resolution
Jin Zhiyuan, Li Zhengquan, Li Jingmu
[ pdf ]
Accurate image super-resolution using very deep convolutional networks
Jin Zhiyuan, Li Zhengquan, Li Jingmu
[ pdf ]
Real-time single image and video super-resolution using efficient sub-pixel convolutional neural network
History, Jose cavallero, ferenc Husar, Johannes Totz, Andrew aitken, Rob Bishop, Daniel Luckert, Wang Zehan.
[ pdf ]
Image Super-resolution Using Depth Convolution Network
Zhao Dong, Chen Bianalai, He, Tang Xiaoou
IEEE transactions on pattern analysis and machine intelligence
SRCNN
[project] [pdf] [supplementary materials]
Edge-preserving neighborhood regression image super-resolution
Li,,, Yang He
IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, April 20 15.
[project]
Learning depth convolution network for image super-resolution
Zhao Dong, Chen Bianalai, He, Tang Xiaoou
ECCV 20 14
SRCNN
[project] [pdf]
Super-resolution of single image
Daniel glassner, Shay Bagon, Michael irani.
ICCV 2009
[project] [pdf]
Video super-resolution based on spatio-temporal recursive neural network
Yang, Feng Jiashi, Xie Guosen,,, Yan Shuicheng
Computer Vision and Image Understanding (CVIU), Vol. 168, pp. 79-92, March. 20 18.
[project]
Video Super-resolution Based on Convolutional Neural Network
Amin Capra; Liu Chenghuan; Dai; Arglos Casagros
IEEE transactions on computational imaging
[ pdf ]
Super-resolution of high-quality remote sensing images by using deep memory connection network
Wenjia Xu; Guang Luan Xu; Wang Yang; Sun Xian; Lin; Wu Yirong
International Society for Earth Sciences and Remote Sensing
[ pdf ]
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