Garry Ing

Generative models capture properties and relationships of images in a generic vector space representation called a latent space. Latent spaces can be sampled to create novel images and perform semantic operations consistent with the principles inferred from the training set. Designers can use representations learned by generative models to express design intent, enabling more effective design experimentation.