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Large-Scale GAN Training: My internship project with Jeff and Karen.

We push the SOTA Inception Score from 52 -> 166+ and give GANs the ability to trade sample variety and fidelity.

arxiv.org/abs/1809.11096
The Truncation Trick we introduce allows for direct control of sample quality (at the cost of overall variety) by pushing samples towards the mode:
This typically results in objects coming towards the center of the frame and moving towards more "typical" backgrounds, whereas the untruncated samples might have features which are less frequently observed.
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