Why is FID so popular for evaluating GANs and other generative models?

The FID seems to be the most popular evaluation metric for GANs and other generative models. Why is it so popular? It seems to have some obvious issues, such as the assumption of Gaussian distributions, the lack of ability to detect memorization of training data, and so on. Some other issues are also discussed here:

https://en.wikipedia.org/wiki/Fr%C3%A9chet_inception_distance

Thanks!