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

@inproceedings{Devaranjan2020MetaSim2UL,
  title={Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation},
  author={Jeevan Devaranjan and Amlan Kar and Sanja Fidler},
  booktitle={European Conference on Computer Vision},
  year={2020}
}
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. Meta-Sim aimed at automatically tuning parameters… 

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