Updating the generator in PPGN-h with gradients flowing through the encoder

Introduction

In this master’s thesis we explore the possibility of connecting discriminators at different layers of the encoder, using the Plug & Play generative network: Conditional Iterative Generation of Images in Latent Space by A. Nguyen et. al [1].

Results

Method

Code

Conclusion

Credits

This code builds upon the works done by coagan, pytorch and martinarjovsky.

[1]: A. Nguyen, J. Yosinski, Y. Bengio, A. Dosovitskiy, and J. Clune. Plug & play generative networks: Conditional iterative generation of images in latent space. arXiv preprint arXiv:1612.00005, 2016.