A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings

10 Oct 2019 Qi Li Long Mai Michael A. Alcorn Anh Nguyen

Large, pre-trained generative models have been increasingly popular and useful to both the research and wider communities. Specifically, BigGANs a class-conditional Generative Adversarial Networks trained on ImageNet---achieved excellent, state-of-the-art capability in generating realistic photos... (read more)

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