  I train a Generative Adversarial Network to produce realistic seismic wave
speed models. I integrate the generator network into seismic Full-Waveform
Inversion to reduce the number of model parameters and restrict the inverted
models to only those that are plausible. Applying the method to a 2D section of
the SEAM model, I demonstrate that it can produce more plausible results than
conventional Full-Waveform Inversion.
