GANs are a relatively recent invention in field of ML. The primary objective of GANs was to generate new samples from the given dataset. And since the invention of GANs, they have grown to accomplish this task with better results and added features. Sketch to Color Image generation is an image-to-image translation model using Conditional Generative Adversarial Networks. In this project we learnt to create a Conditional GAN to predict colorful images from the given black and white sketch inputs without knowing the actual ground truth.
This section contains the technologies we used for this project.