THE GEOMETRY OF DEEP GENERATIVE IMAGE MODELS AND ITS APPLICATIONS
Published:
This paper aims to make GAN inversion and interpretability possible. Through the lens of differential geometry, the authors propose that the metric tensor has various interpretability properties – by realising it as the Hessian matrix of the distance metric.