Revisiting the Evaluation of Image Synthesis with GANs Mengping Y ang 1, Ceyuan Y ang

Neural Information Processing Systems 

Unlike most vision tasks that have per-sample ground-truth, image synthesis tasks target generating unseen data and hence are usually evaluated through a distributional distance between one set of real samples and another set of generated samples.

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