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  1. Nov 22, 2021 · A picture worth a thousand words now takes just three or four words to create, thanks to GauGAN2, the latest version of NVIDIA Research’s wildly popular AI painting demo. The deep learning model behind GauGAN allows anyone to channel their imagination into photorealistic masterpieces — and it’s easier than ever.

  2. Mar 18, 2019 · A deep learning model developed by NVIDIA Research uses GANs to turn segmentation maps into lifelike images with breathtaking ease.

  3. Mar 1, 2022 · GauGAN, an AI demo for photorealistic image generation, allows anyone to create stunning landscapes using generative adversarial networks. Named after post-Impressionist painter Paul Gauguin, it was created by NVIDIA Research and can be experienced free through NVIDIA AI Demos.

  4. The NVIDIA Canvas update released today, powered by the GauGAN2 AI model and NVIDIA RTX GPU Tensor Cores, generates backgrounds with increased quality and 4x higher resolution, and adds five new materials to paint with.

  5. Mar 18, 2019 · A deep learning model developed by NVIDIA Research turns rough doodles into highly realistic scenes using generative adversarial networks (GANs). Dubbed GauGAN, the tool is like a smart...

  6. Mar 18, 2019 · Researchers at Nvidia have created a new generative adversarial network model for producing realistic landscape images from a rough sketch or segmentation map, and while it's not perfect, it is...

  7. Nov 22, 2021 · NVIDIA has announced the latest version of NVIDIA Research's AI painting demo, GauGAN2. The model is powered by deep learning and now features a text-to-image feature.

  8. Dec 3, 2019 · NVIDIA’s viral real-time AI art sensation GauGan just won a “Best of What’s New Award” in the engineering category, Popular Science magazine announced today.

  9. GauGAN - Synthesize Photorealistic Images from Semantic Doodles. Implementation of NVIDIA's generative SPADE network in PyTorch. Based on the original paper of Park et.al.

  10. Mar 20, 2019 · NVIDIA Research has demonstrated GauGAN, a deep learning model that converts simple doodles into photorealistic images. The tool crafts images nearly instantaneously, and can intelligently adjust elements within images, such as adding reflections to a body of water when trees or mountains are placed near it.

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