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Last Commit
Apr. 29, 2019
Sep. 26, 2017

Class-Splitting Generative Adversarial Networks

Code for reproducing the experiments with splitting policy.

Full paper:

This code is heavily based on the excellent work of Ishaan Gulrajani et al. "Improved Training of Wasserstein GANs" and his code

Once defined the value for DATA_DIR, it should run without problems.

Some results

Generated images for the supervised CIFAR-10 experiment, with Inception score of 8.87.

Generated images for the unsupervised STL-10 experiment, with Inception score of 9.50.