Conditional Image Synthesis With Auxiliary Classifier GANs

ICML 2017 Augustus OdenaChristopher OlahJonathon Shlens

Synthesizing high resolution photorealistic images has been a long-standing challenge in machine learning. In this paper we introduce new methods for the improved training of generative adversarial networks (GANs) for image synthesis... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Conditional Image Generation CIFAR-10 AC-GAN Inception score 8.25 # 5
Conditional Image Generation ImageNet 128x128 AC-GAN Inception score 28.5 # 6