Reconstructing occluded facial images of celebrities using conditional generative adversarial network
A starter and basic project on cGANs(Conditional Generative Adversarial Networks). Leveraging the cGANs ability to predict the "Progression of the Shape" of the cell. I have used some important attributes such as Cell's Life cyle stage, Mitotic Index, DNA Content and many such to "Generate" it's shape after a "6-HOUR Time Delta"
use satellite SAR images and a deep learning model to detect oil spills, calculate their size and surface area. It also includes a web platform as a prototype for visualizing and alerting investigation and response teams about oil spill incidents.
This project explores and implements a state-of-the-art approach for automatic image recolorization using Conditional Generative Adversarial Networks (cGANs).
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