Accurate Image Super-Resolution Using Very Deep Convolutional Networks

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Items 701–800 of 1,010

1. Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks
   Xiaoyu Dong, Longguang Wang, Xu Sun, Xiuping Jia, Lianru Gao, Bing Zhang · 2020 · IEEE Transactions on Geoscience and Remote Sensing
2. Deep learning for joint channel estimation and feedback in massive MIMO systems
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3. Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
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4. Practical Single-Image Super-Resolution Using Look-Up Table
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5. Deep‐learning based super‐resolution for 3D isotropic coronary MR angiography in less than a minute
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6. SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
   Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jon̈athan R. Polimeni, Berkin Bilgiç, David H. Salat, Susie Y. Huang · 2022 · NeuroImage
7. SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution
   Jingzhi Tu, Gang Mei, Zhengjing Ma, Francesco Piccialli · 2022 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
8. Lightweight Image Super-Resolution with Adaptive Weighted Learning Network
   Chaofeng Wang, Zheng Li, Jun Shi · 2019 · arXiv (Cornell University)
9. Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
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10. Convolutional Neural Networks to Enhance Coded Speech
    Ziyue Zhao, Huijun Liu, Tim Fingscheidt · 2018 · IEEE/ACM Transactions on Audio Speech and Language Processing
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    Yun Zhang, Sam Kwong, Shiqi Wang · 2019 · Information Sciences
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15. Binarized Neural Network for Single Image Super Resolution
    Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao · 2020 · Lecture notes in computer science
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    Jin‐Jian Xu, Hao Zhang, Chao‐Sheng Tang, Qing Cheng, Bo Liu, Bin Shi · 2020 · Géotechnique
17. Light Field Super-Resolution via Adaptive Feature Remixing
    Keunsoo Ko, Yeong Jun Koh, SoonKeun Chang, Chang‐Su Kim · 2021 · IEEE Transactions on Image Processing
18. A Two-Stage Attentive Network for Single Image Super-Resolution
    Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin She Yang, Baocai Yin · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
19. Image super-resolution via channel attention and spatial attention
    Enmin Lu, Xiaoxiao Hu · 2021 · Applied Intelligence
20. Multi-attention augmented network for single image super-resolution
    Rui Chen, Heng Zhang, Jixin Liu · 2021 · Pattern Recognition
21. Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
    Shady Abu-Hussein, Tom Tirer, Raja Giryes · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
22. Mop moiré patterns using mopnet
    He, Bin, Wang, Ce, Shi, Boxin, Duan, Lingyu · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
23. A Multi-Scale Wavelet 3D-CNN for Hyperspectral Image Super-Resolution
    Jingxiang Yang, Yongqiang Zhao, Jonathan Cheung-Wai Chan, Liang Xiao · 2019 · Remote Sensing
24. Deformable Non-Local Network for Video Super-Resolution
    Hua Wang, Dewei Su, Chuangchuang Liu, Longcun Jin, Xianfang Sun, Xinyi Peng · 2019 · IEEE Access
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    Yihang Zhang, Feng Ling, Xia Wang, Giles M. Foody, Doreen S. Boyd, Xiaodong Li, Yun Du, Peter M. Atkinson · 2021 · Remote Sensing of Environment
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    Hai Wang, Yansong Xu, Youguo He, Yingfeng Cai, Long Chen, Yicheng Li, Miguel Ángel Sotelo, Zhixiong Li · 2022 · IEEE Transactions on Instrumentation and Measurement
27. Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
    Haowei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi‐Min Tsai, Hsien-Kai Kuo, Chun‐Yi Lee · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
28. Lightweight Image Super-Resolution with Superpixel Token Interaction
    Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
29. Multi-scale Residual Low-Pass Filter Network for Image Deblurring
    Jiang-Xin Dong, Jin-shan Pan, Zhong-Bao Yang, Jin-Hui Tang · 2023 · IEEE International Conference on Computer Vision
30. A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution
    Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng · 2024 · ACM Computing Surveys
31. Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement
    Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang A · 2018 · IEEE Transactions on Image Processing
32. Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer
    Sohee Park, Sang Min Lee, Kyung‐Hyun Do, June‐Goo Lee, Woong Bae, Hyunho Park, Kyu-Hwan Jung, Joon Beom Seo · 2019 · Korean Journal of Radiology
33. Medical Image Super Resolution Using Improved Generative Adversarial Networks
    Xinyang Bing, Wenwu Zhang, Liying Zheng, Yanbo Zhang · 2019 · IEEE Access
34. Multi-Level and Multi-Scale Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution
    Xian‐Hua Han, Yinqiang Zheng, Yen‐Wei Chen · 2019 · IEEE International Conference on Computer Vision Workshops
35. Multi-Grained Attention Networks for Single Image Super-Resolution
    Huapeng Wu, Zhengxia Zou, Jie Gui, Wenjun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
36. Learning Frequency-aware Dynamic Network for Efficient Super-Resolution
    Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
37. Semantic Point Cloud Upsampling
    Zhuangzi Li, Ge Li, Thomas H. Li, Shan Liu, Wei Gao · 2022 · IEEE Transactions on Multimedia
38. A Practical Contrastive Learning Framework for Single-Image Super-Resolution
    Gang Wu, Junjun Jiang, Xianming Liu · 2023 · IEEE Transactions on Neural Networks and Learning Systems
39. Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding
    Sehwan Ki, Sung‐Ho Bae, Munchurl Kim, Hyunsuk Ko · 2018 · IEEE Transactions on Image Processing
40. FormResNet: Formatted Residual Learning for Image Restoration
    Jianbo Jiao, Wei-Chih Tu, Shengfeng He, Rynson W. H. Lau · 2017 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
41. Terahertz image super-resolution based on a deep convolutional neural network
    Zhenyu Long, Tianyi Wang, Chengwu You, Zhengang Yang, Kejia Wang, Jinsong Liu · 2019 · Applied Optics
42. Hypernetwork Functional Image Representation
    Sylwester Klocek, Łukasz Maziarka, Maciej Wołczyk, Jacek Tabor, Jakub Nowak, Marek Śmieja · 2019 · Lecture notes in computer science
43. Deep Coupled ISTA Network for Multi-Modal Image Super-Resolution
    Xin Deng, Pier Luigi Dragotti · 2019 · IEEE Transactions on Image Processing
44. Reverse and Boundary Attention Network for Road Segmentation
    Jee-Young Sun, Seung‐Wook Kim, Sang-Won Lee, Ye Won Kim, Sung-Jea Ko · 2019 · IEEE International Conference on Computer Vision Workshops
45. An Innovative Application of Generative Adversarial Networks for Physically Accurate Rock Images With an Unprecedented Field of View
    Yufu Niu, Ying Da Wang, Peyman Mostaghimi, Paweł Świętojański, Ryan T. Armstrong · 2020 · Geophysical Research Letters
46. Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
    Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoğlu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou et al. · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
47. Light Field Super-Resolution with Zero-Shot Learning
    Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu, Zheng-Jun Zha · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
48. Edge-enhanced Feature Distillation Network for Efficient Super-Resolution
    Yan Wang · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
49. LKASR: Large kernel attention for lightweight image super-resolution
    Hao Feng, Liejun Wang, Yongming Li, Anyu Du · 2022 · Knowledge-Based Systems
50. tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow
    You Xiang Xie, Erik Franz, Mengyu Chu, Nils Thuerey · 2018 · arXiv (Cornell University)
51. Enhanced bi-prediction with convolutional neural network for high-efficiency video coding
    Zhao, Zhenghui, Wang, Shiqi, Wang, Shanshe, Zhang, Xinfeng, Ma, Siwei, Yang, Jiansheng · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
52. Single Image Super-Resolution Based on Wiener Filter in Similarity Domain
    Cristóvão Cruz, Rakesh Mehta, Vladimir Katkovnik, Karen Egiazarian · 2017 · IEEE Transactions on Image Processing
53. Memory Requirements for Convolutional Neural Network Hardware Accelerators
    Kevin Siu, Dylan Malone Stuart, Mostafa Mahmoud, Andreas Moshovos · 2018 · IEEE International Symposium on Workload Characterization
54. Optical fringe patterns filtering based on multi-stage convolution neural network
    Bowen Lin, Shujun Fu, Caiming Zhang, Fengling Wang, Yuliang Li · 2019 · Optics and Lasers in Engineering
55. Photo-Realistic Image Super-Resolution via Variational Autoencoders
    Zhi-Song Liu, Wan-Chi Siu, Yui‐Lam Chan · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
56. Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution
    Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xinyi Peng, Xiang Sean Zhou · 2021 · IEEE Transactions on Multimedia
57. Joint Face Image Restoration and Frontalization for Recognition
    Xiaoguang Tu, Jian Cun Zhao, Qiankun Liu, Wenjie Ai, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
58. Reflash Dropout in Image Super-Resolution
    Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
59. Separating Reflection and Transmission Images in the Wild
    Patrick Wieschollek, Orazio Gallo, Jinwei Gu, Jan Kautz · 2018 · Lecture notes in computer science
60. Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
    Thomas Köhler, Michel Bätz, Farzad Naderi, André Kaup, Andreas Maier, Christian Rieß · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
61. Effect of Mach number on droplet aerobreakup in shear stripping regime
    Zhaoguang Wang, Thomas Hopfes, M. Giglmaier, Nikolaus A. Adams · 2020 · Experiments in Fluids
62. Face Super-Resolution Guided by 3D Facial Priors
    Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern H. Menze, Wei Liu · 2020 · Lecture notes in computer science
63. A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images
    Ming Zhao, Wei Yang, Kelvin K. L. Wong · 2021 · Magnetic Resonance Imaging
64. ProfileSR-GAN: A GAN Based Super-Resolution Method for Generating High-Resolution Load Profiles
    Lidong Song, Yiyan Li, Ning Lü · 2022 · IEEE Transactions on Smart Grid
65. Deep Unfolding Network for Spatiospectral Image Super-Resolution
    Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma · 2021 · IEEE Transactions on Computational Imaging
66. A very lightweight and efficient image super-resolution network
    Dandan Gao, Dengwen Zhou · 2022 · Expert Systems with Applications
67. Diffusion Model with Detail Complement for Super-Resolution of Remote Sensing
    Jinzhe Liu, Zhiqiang Yuan, Zhaoying Pan, Yiqun Fu, Li Liu, Bin Lu · 2022 · Remote Sensing
68. HIPA: Hierarchical Patch Transformer for Single Image Super Resolution
    Qing Cai, Yiming Qian, Jinxing Li, Jun Lyu, Yee‐Hong Yang, Feng Wu, David D. Zhang · 2023 · IEEE Transactions on Image Processing
69. Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation
    Jingyuan Xia, Zhixiong Yang, Shengxi Li, Shuanghui Zhang, Yaowen Fu, Denız Gündüz, Xiang Li · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
70. HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
    Xiang Zhang, Yulun Zhang, Fisher Yu · 2024 · Lecture notes in computer science
71. One-for-All: Grouped Variation Network-Based Fractional Interpolation in Video Coding
    Jiaying Liu, Sifeng Xia, Wenhan Yang, Mading Li, Dong Liu · 2018 · IEEE Transactions on Image Processing
72. Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Network
    Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
73. Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
    Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
74. Hyperspectral Image Super-Resolution via Intrafusion Network
    Jing Hu, Xiuping Jia, Yunsong Li, Gang He, Minghua Zhao · 2020 · IEEE Transactions on Geoscience and Remote Sensing
75. MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
    Di Ma, Fan Zhang, David Bull · 2020 · IEEE Journal of Selected Topics in Signal Processing
76. Space-Time Distillation for Video Super-Resolution
    Zeyu Xiao, Xueyang Fu, Jie Huang, Zhen Cheng, Zhiwei Xiong · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
77. Deep learning in medical image super resolution: a review
    Hujun Yang, Zhongyang Wang, Xinyao Liu, Chuangang Li, Junchang Xin, Zhiqiong Wang · 2023 · Applied Intelligence
78. Single-frame super resolution of remote-sensing images by convolutional neural networks
    Çaglayan Tuna, Gözde Ünal, Elif Sertel · 2018 · International Journal of Remote Sensing
79. High-Precision Depth Estimation with the 3D LiDAR and Stereo Fusion
    Kihong Park, Seungryong Kim, Kwanghoon Sohn · 2018 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
80. Pixel super-resolution for lens-free holographic microscopy using deep learning neural networks
    Zhenxiang Luo, Abdulkadir Yurt, Richard J. Stahl, Andy Lambrechts, Veerle Reumers, Dries Braeken, Liesbet Lagae · 2019 · Optics Express
81. Efficient Super Resolution Using Binarized Neural Network
    Yinglan Ma, Hongyu Xiong, Zhe Hu, Lizhuang Ma · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
82. SUPER-RESOLUTION OF MULTISPECTRAL SATELLITE IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
    Markus U. Müller, N. Ekhtiari, R. M. Almeida, C. Rieke · 2020 · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
83. Thermal Image Super-resolution: A Novel Architecture and Dataset
    Rafael E. Rivadeneira, Angel Domingo Sappa, Boris X. Vintimilla · 2020 · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
84. Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data
    David R. Rutkowski, Alejandro Roldán‐Alzate, Kevin M. Johnson · 2021 · Scientific Reports
85. Real-world remote sensing image super-resolution via a practical degradation model and a kernel-aware network
    Runmin Dong, Lichao Mou, Lixian Zhang, Haohuan Fu, Xiao Xiang Zhu · 2022 · ISPRS Journal of Photogrammetry and Remote Sensing
86. Lightweight image super-resolution based on deep learning: State-of-the-art and future directions
    Garas Gendy, Guanghui He, Nabil Sabor · 2023 · Information Fusion
87. Large Kernel Distillation Network for Efficient Single Image Super-Resolution
    Chengxing Xie, Xiaoming Zhang, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
88. Neural Degradation Representation Learning for All-in-One Image Restoration
    Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong · 2024 · IEEE Transactions on Image Processing
89. CFAT: Unleashing Triangular Windows for Image Super-resolution
    Abhisek Ray, Gaurav Kumar, Maheshkumar H. Kolekar · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
90. Deep Learning in Nuclear Medicine and Molecular Imaging: Current Perspectives and Future Directions
    Hongyoon Choi · 2017 · Nuclear Medicine and Molecular Imaging
91. Task-Aware Compressed Sensing With Generative Adversarial Networks
    Maya Kabkab, Pouya Samangouei, Rama Chellappa · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
92. A Progressively Enhanced Network for Video Satellite Imagery Superresolution
    Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang · 2018 · IEEE Signal Processing Letters
93. Deep gradient prior network for DEM super-resolution: Transfer learning from image to DEM
    Zekai Xu, Zixuan Chen, Weiwei Yi, Qiuling Gui, Wenguang W. Hou, Mingyue Ding · 2019 · ISPRS Journal of Photogrammetry and Remote Sensing
94. SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
    Peng, Cheng, Lin, Wei-An, Liao, Haofu, Chellappa, Rama, Zhou, S. Kevin · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
95. Deblurring Using Analysis-Synthesis Networks Pair
    Adam Kaufman, Raanan Fattal · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
96. A Self-Supervised Residual Feature Learning Model for Multifocus Image Fusion
    Zeyu Wang, Xiongfei Li, Haoran Duan, Xiaoli Zhang · 2022 · IEEE Transactions on Image Processing
97. Lightweight image super-resolution for IoT devices using deep residual feature distillation network
    Sevara Mardieva, Shabir Ahmad, Sabina Umirzakova, M. J. Aashik Rasool, Taeg Keun Whangbo · 2023 · Knowledge-Based Systems
98. Hyperspectral Image Super-Resolution by Spectral Difference Learning and Spatial Error Correction
    Jing Hu, Yunsong Li, Weiying Xie · 2017 · IEEE Geoscience and Remote Sensing Letters
99. Positional Normalization
    Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge Belongie · 2019 · arXiv (Cornell University)
100. xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
     Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings