Generating Recipes

As eating habits and culinary practices have evolved over time, with a shift toward consuming more meals from third-party sources like takeaways and restaurants, obtaining detailed information about prepared food has become increasingly challenging.

Behind each meal, there is a story described in a complex recipe, but unfortunately, we cannot access its preparation process by simply looking at the image. This limitation underscores the need for the development of a reversed cooking system capable of deriving ingredients and cooking instructions from a prepared meal. Here is where generative models come in.

One advanced application of generating textual descriptions of images using GANs involves producing a structured description of an image with multiple components, such as generating a recipe for foodSalvador, Amaia, Michal Drozdzal, Xavier Giro-i-Nieto, and Adriana Romero. 2019. “Inverse Cooking: Recipe Generation from Food Images.” ArXiv:1812.06164 [Cs], June. https://arxiv.org/abs/1812.06164. (as shown in the image below).