LogInNVIDIA take AI and deep learning serious but that doesn’t mean they don’t have fun putting it to work. You have a chance to see NVIDIA AI research in action.
NVIDIA take AI and deep learning quite serious but that doesn’t mean they don’t have fun putting it to work. You have a great chance to see NVIDIA AI research in action.
Below you will see some of the research projects by NVIDIA:
GauGAN:
GauGAN (named after Paul Gauguin) creates photorealistic pictures from segmentation maps that are labeled sketches that depict the layout of a scene.
Artists can use paintbrush and paint bucket tools to design their own landscapes with labels like river, rock, and cloud. A style transfer algorithm allows creators to apply filters — changing a daytime scene to sunset, or a photorealistic image to a painting. Users can even upload their own filters to layer onto their masterpieces, or upload custom segmentation maps and landscape images as a foundation for their artwork
Image Inpainting:
Step right up and see deep learning inference in action on your very own portraits or landscapes. Our researchers developed state-of-the-art image reconstruction that fills in missing parts of an image with new pixels that are generated from the trained model, independent from what’s missing in the photo. Give it a shot with a landscape or portrait. Erase at will — get rid of that photobomber, or your ex, and then see what happens when new pixels are painted into the holes.
See the deep learning inference in action on your own portrait and landscapes. The researches at NVIDIA developed state-of-the-art image reconstruction that fills in missing parts of an image with new pixels that are generated from the trained model, independent from what’s missing in the photo. Give it a shot with a landscape or portrait. Just get rid of your ex, and then see what happens when new pixels are painted into the holes.