CPC G06T 9/002 (2013.01) [G06N 3/08 (2013.01)] | 20 Claims |
1. A method of operating a generative adversarial network (GAN), comprising:
receiving an image having learned parameters;
using an input class of the image to determine scaling and shifting parameters in a normalization layer; and
compressing the image using the determined scaling and shifting parameters by performing average smoothing between parameter layers and normalization layers to smooth abrupt boundaries where semantic information changes.
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