pypi: SRGAN | Projects | Ecosyste.ms: Papers

10.7717/peerj-cs.564

Overview of current state of research on the application of artificial intelligence techniques for COVID-19
Cited 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 Enhancement
Cited 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 resolution
Cited 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: almost 5 years ago

10.1155/2020/1459107

Generative Adversarial Network Technologies and Applications in Computer Vision
Cited 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 Informatics
Cited 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 tasks
Cited 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 learning
Cited 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 Network
Cited 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 Networks
Cited 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-Resolution
Cited 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 Model
Cited 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 Correction
Cited 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 Images
Cited by: 15
Author(s): Juan Wen, Yangjing Shi, Xiaoshi Zhou, Yiming Xue
Software Mentions: 1
Published: over 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 Network
Cited 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 Microscopy
Cited 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-Resolution
Cited 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 Networks
Cited 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 imaging
Cited 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 Fitting
Cited 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 endomicroscopy
Cited 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 superresolution
Cited by: 12
Author(s): Motoharu Sonogashira, Michihiro Shonai, Masaaki Iiyama
Software Mentions: 1
Published: over 4 years ago

Ecosyste.ms: Papers

Projects: pypi: SRGAN

Papers Mentioning SRGAN 22