The Frechet Inception Distance, or FID for short, is a metric for evaluating the quality of generated images and specifically developed to evaluate the performance of generative adversarial networks. A Gentle Introduction to the Kernel Distance - University of Utah metrics/kernel_inception_distance.py · akhaliq/stylegan3_clip at ... In experiments, TTUR improves learning for DCGANs and Improved Wasserstein GANs (WGAN-GP) outperforming conventional GAN training on … [D] Kernel Inception Distance (KID) : MachineLearning - reddit (aka IS), Fréchet Inception Distance (aka FID), and Kernel Inception Distance (aka KID). [1801.01401] Demystifying MMD GANs KID FID is biased (can only be positive), KID is unbiased FID can be evaluated in O(n) time, KID evaluation requires O(n2) time Stefano Ermon, Aditya Grover (AI Lab) Deep Generative Models Lecture 13 13 / 21
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