If your love of pizza is as strong as your imagination, you may want to check out the new AI-powered Multi-Ingredient Pizza Generator (MPG), which can deliver all these mouth-watering pies and many more. There’s no guarantee of the flavour, though, as the fancy MPG “pizzas” aren’t baked in an oven; rather they’re produced by a conditional Generative Adversarial Network (GAN) framework developed by researchers from Rutgers University and Samsung AI Center. Designed for synthesizing multi-label images, MPG combines a new conditioning technique with the StyleGAN2 structure to enforce intermediate feature maps to learn scalewise label information.
Here is a quick read: This Pizza Does Not Exist: StyleGAN2-Based Model Generates Photo-Realistic Pizza Images
The team notes that — while pizzas are certainly fun — their framework can also be extended to other multi-label image generation scenarios. The paper MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs is on arXiv.
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