Behind NVIDIA’s latest image editing tool called EditGAN

NVIDIA, the University of Toronto, and MIT researchers have collaborated to bring out EditGAN that allows users to edit desired images with simple commands like drawing without compromising the original image quality. We know that image editing tools working with AI algorithms have already been in existence for quite some time now, and bringing about improvements in it has been an area of focus for researchers as well. GANs act as building blocks Using generative adversarial networks (GANs) that embed images into the GAN's latent space or work directly with GAN-generated images has been a promising area of development in building image editing algorithms. EditGAN builds of DatasetGAN which is an automatic procedure to generate massive datasets of high-quality semantically segmented i