Neural Network Now Can Animate People on Photos

Algorithm can even make people on the photos to 'go out' picture's borders
12 December 2018   561

Researchers at the University of Washington, together with the developers of Facebook, have created an algorithm that “revives” people in the photographs. In a single snapshot, it generates a three-dimensional moving model of a figure that can sit, jump, run, and even "go" beyond the limits of the image. The algorithm also works for drawings and anime characters.

To create such a technology, researchers used the experience of colleagues.

  • Mask R-CNN recognizes a human figure in the image and makes it stand out from the background.
  • Another algorithm imposes a simplified skeleton markup on the shape, defining how it will move.
  • The third algorithm "fills" the background space, previously hidden by the figure.

Further, the own algorithm of researchers on the basis of a marked two-dimensional figure creates a three-dimensional model and generates a texture level from the original image.

The developers added a user interface that allows you to change the shape of the figure in order to edit the photo itself or determine where the animation will begin. In addition, you can “revive” a drawing or photo in augmented reality and see a three-dimensional figure in VR or AR glasses.

Neural Network to Create Landscapes from Sketches

Nvidia created GauGAN model that uses generative-competitive neural networks to process segmented images and create beautiful landscapes from peoples' sketches
20 March 2019   153

At the GTC 2019 conference, NVIDIA presented a demo version of the GauGAN neural network, which can turn sketchy drawings into photorealistic images.

The GauGAN model, named after the famous artist Paul Gauguin, uses generative-competitive neural networks to process segmented images. The generator creates an image and transfers it to the discriminator trained in real photographs. He in turn pixel-by-pixel tells the generator what to fix and where.

Simply put, the principle of the neural network is similar to the coloring of the coloring, but instead of children's drawings, it produces beautiful landscapes. Its creators emphasize that it does not just glue pieces of images, but generates unique ones, like a real artist.

Among other things, the neural network is able to imitate the styles of various artists and change the times of the day and year in the image. It also generates realistic reflections on water surfaces, such as ponds and rivers.

So far, GauGAN is configured to work with landscapes, but the neural network architecture allows us to train it to create urban images as well. The source text of the report in PDF is available here.

GauGAN can be useful to both architects and city planners, and landscape designers with game developers. An AI that understands what the real world looks like will simplify the implementation of their ideas and help you quickly change them. Soon the neural network will be available on the AI ​​Playground.