HSGAN is a novel generative adversarial network (GAN) variant that plays an adversarial game on the distance between two homogeneous samples in the latent space. It can alleviate the mode collapse problem.
The paper can be accessed here: HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples
- Python 3.6+
- Tensorflow 2.2+
- Numpy, matplotlib, Scikit-learn