Facial Image Super Resolution and Feature Reconstruction using SRGANs with VGG-19-based Adaptive Loss Function
Author:
Affiliation:
1. PES University,Department of CSE,Bengaluru,India
2. Curtin University,Dept. of Electrical and Computer Engineering,Miri,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169127/10169124/10169373.pdf?arnumber=10169373
Reference16 articles.
1. GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution;chan;arXiv 2012 00739v1,2020
2. Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
3. Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
4. Super-Resolution Reconstruction of Underwater Image Based on Image Sequence Generative Adversarial Network
5. X-GANs: Image Reconstruction Made Easy for Extreme Cases;liu;arXiv 1808 04327,2018
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