Image Generation
Francesco ChiaramonteFrancesco Chiaramonte
Home   >   GauGAN2 by NVIDIA

GauGAN2 by NVIDIA is a deep learning model that creates photorealistic images from text. The GAN framework integrates text, sketches, semantic segmentation, and style to quickly create and customise images from brief phrases. Sketches can be used to modify “snow-capped mountain range” for example. GauGAN2, still in development, shows how AI can create photorealistic assets for movies and games. GauGAN2 doesn’t use GPT-3.

User objects:

  • Artists
  • Graphic Designers
  • Filmmakers
  • Game Developers
  • Content Creators
  • Landscape Architects
  • Concept Artists
  • Advertisers
  • Visual Storytellers

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Francesco Chiaramonte

Francesco Chiaramonte is renowned for over 10 years of experience, from machine learning to AI entrepreneurship. He shares knowledge and is committed to advancing artificial intelligence, hoping that AI will drive societal progress.