jacobgil/keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
This project helps you generate new, artificial images that look realistic by learning from a collection of real images. You provide a dataset of existing images, and it outputs a set of novel images that mimic the style and characteristics of the originals. This is for researchers, artists, or content creators interested in creating unique visual content through deep learning.
981 stars. No commits in the last 6 months.
Use this if you want to create a large volume of new, synthetic images that resemble a given set of real images, for tasks like dataset augmentation or creative content generation.
Not ideal if you need to perform standard image classification, object detection, or other analytical tasks on existing images, as its primary function is image synthesis.
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Python
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Last pushed
Jul 21, 2017
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