AN EFFICIENT WAY TO EVALUATE TEXT-TO-IMAGE GENERATIONS

Summary from the TLDR AI newsletter

Current methods for judging the quality of images created from text have some problems, like not truly capturing how good the image looks or how well it matches the text. This paper introduces a new method that estimates how likely a created image matches a given text, focusing on the most important parts of the image. It does this efficiently with fewer samples.