The process couldn’t be simpler: Users select a color for their paintbrush and the system analyzes that color in context with the image in order to produce an intelligent output. Painting over a subject’s mouth with a white brush, for example, can make a smile larger, while painting with a dark color on a forehead can add bangs.
The software currently works best on images generated by it that have constrained limits on what can be manipulated. However, through the use of “introspective adversarial networks,” an advanced masking system allows it to be applied to existing images, as well.
The tech-savvy can download Neural Photo Editor from Github, but don’t go canceling your
Still, it is an intriguing look at how photo editing could evolve in the future to be smarter and more context-aware, significantly increasing the speed at which a photo could be majorly retouched. It also represents a practical application for the general use of neural networks in personal computing.
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