Vision-aided GAN

Introduced by Kumari et al. in Ensembling Off-the-shelf Models for GAN Training

Vision-aided GAN training involves using pretrained computer vision models in an ensemble of discriminators to improve GAN performance. Linear separability between real and fake samples in pretrained model embeddings is used as a measure to choose the most accurate pretrained models for a dataset.

Source: Ensembling Off-the-shelf Models for GAN Training

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Papers

Paper	Code	Results	Date	Stars

Tasks

Task	Papers	Share
Image Generation	1	100.00%

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This feature is experimental; we are continuously improving our matching algorithm.

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