Create Unique Content with Generative Adversarial Network (GAN)
Animation, entertainment, and other visual content creation industries can benefit from GAN to generate creative interpretations of data. It can change sketches into realistic scenes, synthesize characters or scenes similar to the original ones, autocorrect artifacts in drawings, simulate and animate body physics, and generate 3D objects from pictures.
GAN is used to Enhance, Stylize, Transform, Generate, Visualize, and Edit images.