Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: pypi: SRGAN
https://packages.ecosyste.ms/registries/pypi.org/packages/SRGAN
Papers Mentioning SRGAN 22
10.7717/peerj-cs.564
Overview of current state of research on the application of artificial intelligence techniques for COVID-19Cited by: 35
Author(s): Vijay Kumar, Dilbag Singh, Manjit Kaur, Robertas Damaševičius
Software Mentions: 4
Published: over 3 years ago
10.3390/s21020416
CNN-Based Suppression of False Contour and Color Distortion in Bit-Depth EnhancementCited by: 4
Author(s): Changmeng Peng, Luting Cai, Xiaoyang Huang, Fu Zhang, Jin Xu, Xiaofeng Li
Software Mentions: 4
Published: almost 4 years ago
10.1371/journal.pcbi.1007287
DeepHiC: A generative adversarial network for enhancing Hi-C data resolutionCited by: 48
Author(s): Huasheng Hong, Shuai Jiang, Hao Li, Guangwei Du, Yu Sun, Tao Huan, Qimin Cheng, Chenghui Zhao, Ruijiang Li, Wanying Li, Xiaoyao Yin, Yangchen Huang, Li Cheng, Hebing Chen, Xiaochen Bo
Software Mentions: 3
Published: over 4 years ago
10.1155/2020/1459107
Generative Adversarial Network Technologies and Applications in Computer VisionCited by: 28
Author(s): Lianchao Jin, Fuxiao Tan, Shengming Jiang
Software Mentions: 1
Published: over 4 years ago
10.3389/fpubh.2020.00164
Generative Adversarial Networks and Its Applications in Biomedical InformaticsCited by: 100
Author(s): Lan Lan, Lei You, Jingjing Chang, Zusen Fan, Weiling Zhao, Nianyin Zeng, Yidong Chen, Xiaobo Zhou
Software Mentions: 1
Published: over 4 years ago
10.1186/s40537-021-00414-0
A survey on generative adversarial networks for imbalance problems in computer vision tasksCited by: 80
Author(s): V. Sampath, Iñaki Maurtua, Juan José Aguilar Martín, Aitor Gutierrez
Software Mentions: 1
Published: almost 4 years ago
10.1038/s41598-018-24330-1
Super-resolution for asymmetric resolution of FIB-SEM 3D imaging using AI with deep learningCited by: 52
Author(s): Katsumi Hagita, Takeshi Higuchi, Hiroshi Jinnai
Software Mentions: 1
Published: over 6 years ago
10.3390/s18030789
Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural NetworkCited by: 24
Author(s): Xingqiang Du, Xiaobo Qu, Yifan He, Di Guo
Software Mentions: 1
Published: over 6 years ago
10.3390/s19143121
SASRT: Semantic-Aware Super-Resolution Transmission for Adaptive Video Streaming over Wireless Multimedia Sensor NetworksCited by: 6
Author(s): Jia Guo, Xiangyang Gong, Wendong Wang, Xirong Que, Jingyu Liu
Software Mentions: 1
Published: over 5 years ago
10.3390/s20010281
RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-ResolutionCited by: 10
Author(s): Juan Du, Huixin Zhou, Kun Qian, Wei Tan, Zhe Zhang, Lin Gu, Yue Yu
Software Mentions: 1
Published: almost 5 years ago
10.3390/s20051276
Single Remote Sensing Image Super-Resolution with an Adaptive Joint Constraint ModelCited by: 3
Author(s): Ling-li Fu, Chao Ren, Xiaohai He, Xiaohong Wu, Zhengyong Wang
Software Mentions: 1
Published: over 4 years ago
10.3390/s20164370
A Real-World Approach on the Problem of Chart Recognition Using Classification, Detection and Perspective CorrectionCited by: 9
Author(s): Tiago Araújo, Paulo Chagas, João Alves, Carlos Gustavo Resque dos Santos, Beatriz Sousa Santos, Bianchi Serique Meiguins
Software Mentions: 1
Published: over 4 years ago
10.3390/s20164601
Crop Disease Classification on Inadequate Low-Resolution Target ImagesCited by: 15
Author(s): Juan Wen, Yangjing Shi, Xiaoshi Zhou, Yiming Xue
Software Mentions: 1
Published: about 4 years ago
10.3390/s21062013
Do Radiographic Assessments of Periodontal Bone Loss Improve with Deep Learning Methods for Enhanced Image Resolution?Cited by: 15
Author(s): Maira Beatriz Hernández Morán, Marcelo Daniel Brito Faria, Gilson A. Giraldi, Luciana Freitas Bastos, Aura Conci
Software Mentions: 1
Published: over 3 years ago
10.3390/s21062158
Panchromatic Image Super-Resolution Via Self Attention-Augmented Wasserstein Generative Adversarial NetworkCited by: 6
Author(s): Juan Du, Kuanhong Cheng, Yue Yu, Dabao Wang, Huixin Zhou
Software Mentions: 1
Published: over 3 years ago
10.3390/s21062164
Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging MicroscopyCited by: 9
Author(s): Md. Shahinur Alam, Ki‐Chul Kwon, Munkh-Uchral Erdenebat, Mohammed Y. Abbass, Md. Ashraful Alam, Nam Kim
Software Mentions: 1
Published: over 3 years ago
10.3390/s21092978
3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-ResolutionCited by: 14
Author(s): Hongtao Zhang, Yuki Shinomiya, Shigeaki Yoshida
Software Mentions: 1
Published: over 3 years ago
10.3390/s21175973
Mask Attention-SRGAN for Mobile Sensing NetworksCited by: 2
Author(s): Chi En Huang, Chung‐Liang Chang, Yung‐Hui Li
Software Mentions: 1
Published: about 3 years ago
10.1002/aps3.11374
Super resolution for root imagingCited by: 6
Author(s): José Francisco Ruiz-Muñoz, Jyothier K. Nimmagadda, Tyler Dowd, James E. Baciak, Alina Zare
Software Mentions: 1
Published: over 4 years ago
10.1155/2018/9262847
Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum FittingCited by: 2
Author(s): Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani
Software Mentions: 1
Published: about 6 years ago
10.1016/j.media.2019.01.011
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopyCited by: 48
Author(s): Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0235487
High-resolution bathymetry by deep-learning-based image superresolutionCited by: 12
Author(s): Motoharu Sonogashira, Michihiro Shonai, Masaaki Iiyama
Software Mentions: 1
Published: over 4 years ago