In training the GANs, Google researchers built a data set of full-color images with single-species outlines of creatures adapted from 3D creature models. A badly drawn outline will output a badly textured 3D model. To create recognizable creatures, users need to develop recognizable outlines. Researchers put the best model into Chimera Painter. After training the model, it was then used to produce multi-species chimeras based on those outlines, according to Google. The outlines characterized the shape and size of the creature and separated out each identifiable body part, including the legs, eyes, ears, head, muzzle, horns and wings. For Chimera Painter, one network created new images, and the other network tried to determine if the pictures were from a sample training data set, which featured artist-created images. Competing neural networksĪ GAN is a machine learning model in which two convolutional neural networks compete with each other to become more accurate in their predictions. Yet users need some artistic skills to sketch a creature that will look like a full-fledged monster chimera.Īs explained on the Google AI blog post that unveiled Chimera Painter, the tool - designed to produce video-game-ready creature images - is powered by generative adversarial networks (GANs) informed by artists. A chimera refers to an organism that contains a blend of genetically distinct tissues. In Greek mythology, the Chimera is a fire-breathing monster depicted as a lion with a serpent's tail and the head of a goat protruding from its back. Once an outline is complete, the tool will automatically create a 3D model based on it.

Easy to use, hard to masterĬhimera Painter is deceptively simple: It's a paintbrush that enables users to distinguish specific body parts of the outlines of their drawings. The Google AI art tool, released Tuesday, is available free to users in a demo form.

3d art drawing