Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation

Understand

Procedural models are being widely used to synthesize scenes for graphics, gaming, and to create (labeled) synthetic datasets for ML.

• In order to produce realistic and diverse scenes, a number of parameters governing the procedural models have to be carefully tuned by experts.
• These parameters control both the structure of scenes being generated (e.g.
• how many cars in the scene), as well as parameters which place objects in valid configurations.