The nature and meaning of these transformations are not very important, and have been discovered after numerous trial and error attempts. To optimize the result, simple computer vision transformations are performed before each GAN phase, using OpenCV. Although it is possible to use some automations, the creation of these datasets still require great and repetitive manual effort. Working on stylized and abstract graphic fields the construction of these datasets becomes a mere problem of hours working on photoshop to mask photos and apply geometric elements. Web scrapers can download thousands of images from the web, dressed and nude, and through photoshop you can apply the appropriate masks and details to build the dataset that solve a particular sub problem. This approach makes the construction of the sub-datasets accessible and feasible.
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