ABLE: Aesthetic Box Lunch Editing

Yutong Zhou, Nobutaka Shimada

Abstract: This paper proposes an exploratory research that contains a pre-trained ordering recovery model to obtain correct placement sequences from box lunch images, and a generative adversarial network to composite novel box lunch presentations from single item food and generated layouts. Furthermore, we present Bento800, the first cleanly annotated, high-quality, and standardized dataset for aesthetic box lunch presentation generation and other downstream tasks. Bento800 dataset is available at \urlhttps://github.com/Yutong-Zhou-cv/Bento800_Dataset.