CVPR 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun
[pdf]
Blind Super-Resolution With Iterative Kernel Correction
Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong
[pdf]
Camera Lens Super-Resolution
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
[pdf], [supp]
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels
Kai Zhang, Wangmeng Zuo, Lei Zhang
[pdf]
Towards Real Scene Super-Resolution With Raw Images
Xiangyu Xu, Yongrui Ma, Wenxiu Sun
[pdf]
ODE-Inspired Network Design for Single Image Super-Resolution
Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng
[pdf], [supp]
Feedback Network for Image Super-Resolution
Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu
[pdf], [supp]
Recurrent Back-Projection Network for Video Super-Resolution
Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita
[pdf], [supp]
Image Super-Resolution by Neural Texture Transfer
Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi
[pdf]
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination
Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho
[pdf], [supp]
3D Appearance Super-Resolution With Deep Learning
Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool
[pdf], [supp]
Fast Spatio-Temporal Residual Network for Video Super-Resolution
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
[pdf], [supp]
Residual Networks for Light Field Image Super-Resolution
Shuo Zhang, Youfang Lin, Hao Sheng
[pdf]
Second-Order Attention Network for Single Image Super-Resolution
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang
[pdf], [pdf]
Hyperspectral Image Super-Resolution With Optimized RGB Guidance
Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang
[pdf]
Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
[pdf], [supp]
ECCV 2018
Face Super-resolution Guided by Facial Component Heatmaps
Xin Yu, Basura Fernando, Bernard Ghanem, Fatih Porikli, Richard Hartley
[pdf]
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu
[pdf]
Super-Resolution and Sparse View CT Reconstruction
Guangming Zang, Mohamed Aly, Ramzi Idoughi, Peter Wonka, Wolfgang Heidrich
[pdf]
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn
[pdf]
SRFeat: Single Image Super-Resolution with Feature Discrimination
Seong-Jin Park, Hyeongseok Son, Sunghyun Cho, Ki-Sang Hong, Seungyong Lee
[pdf]
To learn image super-resolution, use a GAN to learn how to do image degradation first
Adrian Bulat, Jing Yang, Georgios Tzimiropoulos
[pdf]
Multi-scale Residual Network for Image Super-Resolution
Juncheng Li, Faming Fang, Kangfu Mei, Guixu Zhang
[pdf]
CVPR 2018
Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs
Adrian Bulat, Georgios Tzimiropoulos
[pdf] [Supp]
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading
Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers
[pdf] [Supp]
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
[pdf]
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
Zheng Hui, Xiumei Wang, Xinbo Gao
[pdf]
Image Super-Resolution via Dual-State Recurrent Networks
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
[pdf]
Deep Back-Projection Networks for Super-Resolution
Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita
[pdf] [Supp]
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu
[pdf]
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors
Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang
[pdf]
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
Ying Qu, Hairong Qi, Chiman Kwan
[pdf]
“Zero-Shot” Super-Resolution Using Deep Internal Learning
Assaf Shocher, Nadav Cohen, Michal Irani
[pdf]
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, Seon Joo Kim
[pdf] [Supp]
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Kai Zhang, Wangmeng Zuo, Lei Zhang
[pdf]
Feature Super-Resolution: Make Machine See More Clearly
Weimin Tan, Bo Yan, Bahetiyaer Bare
[pdf]
Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
[pdf]
ICCV 2017
Temporal Shape Super-Resolution by Intra-Frame Motion Encoding Using High-Fps Structured Light
Yuki Shiba, Satoshi Ono, Ryo Furukawa, Shinsaku Hiura, Hiroshi Kawasaki
[pdf] [Supp] [video]
Robust Video Super-Resolution With Learned Temporal Dynamics
Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas Huang
[pdf]
Detail-Revealing Deep Video Super-Resolution
Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, Jiaya Jia
[pdf] [video]
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Mehdi S. M. Sajjadi, Bernhard Scholkopf, Michael Hirsch
[pdf] [Supp][video]
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution From a Blurred Image Sequence
Haesol Park, Kyoung Mu Lee
[pdf] [Supp]
Image Super-Resolution Using Dense Skip Connections
Tong Tong, Gen Li, Xiejie Liu, Qinquan Gao
[pdf]
CVPR 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang
[pdf]
Image Super-Resolution via Deep Recursive Residual Network
Ying Tai, Jian Yang, Xiaoming Liu
[pdf]
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
[pdf] [poster] [video]
Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation
Jose Caballero, Christian Ledig, Andrew Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi
[pdf] [poster]
Hyperspectral Image Super-Resolution via Non-Local Sparse Tensor Factorization
Renwei Dian, Leyuan Fang, Shutao Li
[pdf] [poster]
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding
Yawen Huang, Ling Shao, Alejandro F. Frangi
[pdf] [poster]
2018
Reference Guided Deep Super-Resolution via Manifold Localized External Compensation
Wenhan Yang, Sifeng Xia, Jiaying Liu, and Zongming Guo
Accepted by IEEE Trans. on Circuit System for Video Technology (TCSVT), June 2018.
[project]
Joint-Feature Guided Depth Map Super-Resolution With Face Priors
Shuai Yang, Jiaying Liu, Yuming Fang, and Zongming Guo
IEEE Trans. on Cybernetics (TCYB), Vol.48, No.1, pp.399-411, Jan. 2018.
[project]
2017
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution
Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao, Jiaying Liu, Zongming Guo and Shuicheng Yan
IEEE Trans. on Image Processing (TIP), Vol.26, No.12, pp.5895-5907, Dec. 2017.
[project]
Retrieval Compensated Group Structured Sparsity for Image Super-Resolution
Jiaying Liu, Wenhan Yang, Xinfeng Zhang, and Zongming Guo
IEEE Trans. on Multimedia (TMM), Vol.19, No.2, pp.302-216, Feb. 2017.
[project]
2016年
ECCV2016
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong, Chen Change Loy, Xiaoou Tang
[project]
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, Li Fei-Fei
[pdf]
感知损失
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
[pdf]
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
[pdf]
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
[pdf]
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang
[pdf]
2015年
Single Image Super-Resolution From Transformed Self-Exemplars
Jia-Bin Huang, Abhishek Singh, Narendra Ahuja
CVPR 2015
[pdf] [video]
基于变换自采样的单图片超分辨率
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
SRCNN
[project] [pdf] [supplementary material]
SRCNN扩充期刊版本
Neighborhood Regression for Edge-Preserving Image Super-Resolution
Yanghao Li, Jiaying Liu, Wenhan Yang and Zongming Guo
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015.
[project]
2014年
Learning a Deep Convolutional Network for Image Super-Resolution
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
ECCV 2014
SRCNN
[project] [pdf]
用CNN做单副图像升超分辨率(SR)，轻量架构，性能高，可支持在线应用
2009年
Super-Resolution From a Single Image
Daniel Glasner, Shai Bagon, Michal Irani
ICCV 2009
[project] [pdf]
从单幅图像获得超分辨率图像，ICCV 2009发布的成果，依据是自然图像中小块区域会以相同或不同尺度多次重现
视频超分辨率
Video Super-Resolution Based on Spatial-Temporal Recurrent Neural Networks
Wenhan Yang, Jiashi Feng, Guosen Xie, Jiaying Liu, Zongming Guo and Shuicheng Yan
Computer Vision and Image Understanding (CVIU), Vol.168, pp.79-92, March. 2018.
[project]
Video Super-Resolution With Convolutional Neural Networks
Armin Kappeler ; Seunghwan Yoo ; Qiqin Dai ; Aggelos K. Katsaggelos
IEEE Transactions on Computational Imaging
[pdf]
遥感图像超分辨率
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
Wenjia Xu; Guangluan XU; Yang Wang; Xian Sun; Daoyu Lin; Yirong WU
IGARSS 2018 - 2018 IEEE International Geoscience and Remote SensingSymposium
[pdf]
网友评论