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GENERATING SIMULATED BODY PARTS FOR IMAGES

  • US 20200134876A1
  • Filed: 10/30/2018
  • Published: 04/30/2020
  • Est. Priority Date: 10/30/2018
  • Status: Active Grant
First Claim
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1. A system for generating simulated body parts for images, comprising:

  • a body part recognition convolutional neural network (CNN) to recognize a body part in an input image, the body part recognition CNN being trained using first training data comprising training images comprising body parts contained in the input image being identified; and

    a body part generative adversarial network (GAN) to complete an image of the body part in the input image based on a body part identification output by the body part recognition CNN, the body part GAN being trained using second training data comprising at least partial training images.

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