This project explores and implements a state-of-the-art approach for automatic image recolorization using Conditional Generative Adversarial Networks (cGANs).
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"
Reconstructing occluded facial images of celebrities using conditional generative adversarial network
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.
Add a description, image, and links to the conditional-generative-adversarial-networks topic page so that developers can more easily learn about it.
To associate your repository with the conditional-generative-adversarial-networks topic, visit your repo's landing page and select "manage topics."