Simple Tensorflow implementation of metrics for GAN evaluation
- Inception score
- Frechet-Inception distance
- Kernel-Inception distance
| Name | Description | Performance score |
|---|---|---|
| Inception score | KL-Divergence between conditional and marginal label distributions over generated data. | Higher is better. |
| Frechet-Inception distance | Wasserstein-2 distance between multi-variate Gaussians fitted to data embedded into a feature space. | Lower is better. |
| Kernel-Inception distance | Measures the dissimilarity between two probability distributions Pr and Pg using samples drawn independently from each distribution. |
Lower is better. |
├── real_source
├── aaa.png
├── bbb.jpg
├── real_target
├── ccc.png
├── ddd.jpg
├── fake
├── ccc_fake.png
├── ddd_fake.jpg
├── main.py
├── inception_score.py
└── frechet_kernel_Inception_distance.py
> python main.pyJunho Kim