旨在要求泛化的GAN基准测试

Jan, 2020

Towards GAN Benchmarks Which Require Generalization

Ishaan Gulrajani, Colin Raffel, Luke Metz

TL;DR通过转向神经网络分歧（NND），本文实现了一个基于样本的黑盒测量度量图像生成的多样性、采样质量和泛化。

Abstract

For many evaluation metrics commonly used as benchmarks for unconditional image generation, trivially memorizing the training set attains a better score than models which are considered state-of-the-art; we consi