CookGAN Generates Realistic Meal Images From an Ingredients List (paper)
CookGAN uses an attention-based ingredients-image association model to condition a generative neural network tasked with synthesizing meal images. The framework enables the model to generate realistic meal images corresponding to an ingredients list alone.