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A method that controls how AI systems create images has applications for autonomous robotics and AI training. The method builds on the techniques (or AI task) of conditional image generation to give users more control over the resulting images and layout.
Developed by researchers at North Carolina State University (NC State), the new technique specifically trains the AI system to control certain image characteristics across a series of pictures that may show movement or other changes.
In conditional image generation, the AI system is trained to create images that meet a specific set of conditions — for example, the system could be trained to create original images of cats or dogs, depending on which animal the user…READ MORE