Grass: Automated 3D Content Creation
July 18, 2017. Los Angeles. The full article in Xinhua.
A new computational method, to be demonstrated at Siggraph later this month in Los Angeles, California, is addressing a well-known bottleneck in computer graphics: 3D content creation.
The new generative model, Grass (Generative Recursive Autoencoder for Shape Structures), based on deep neural networks developed by an international research team, enables the automatic creation of plausible, novel 3D shapes, giving graphic artists in video games, virtual reality (VR) and film the ability to more quickly and effortlessly create and explore multiple 3D shapes so as to arrive at a final product
Dican's comment: that could be a very negative signal to the ten thousands of "digital artists" working in animation studios.