The typical measure for most ML conferences is the Fréchet inception distance (FID) but I have seen a number of generative AI papers, and what those values actually mean practically can be extremely obtuse, I appreciate papers that reports both the FID as a metric and also produce some representative examples of the output. (in the suplementary material if space is an issue)
The typical measure for most ML conferences is the Fréchet inception distance (FID) but I have seen a number of generative AI papers, and what those values actually mean practically can be extremely obtuse, I appreciate papers that reports both the FID as a metric and also produce some representative examples of the output. (in the suplementary material if space is an issue)