3dgan is a Generative Adversarial Network trained on point clouds in 3D from Houdini. The resulting model can generate points in space shaped similarly to its training data.

Resulting 3d meshes from the final trained GAN.

Example of model prediction accuracy increasing over time

Samples of generated results

Results of early tests on predicting points in just 2 dimensions.