Image Generation On Fashion Mnist
Metrics
FID
Precision
Recall
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | FID | Precision | Recall |
|---|---|---|---|
| Model 1 | 83.25 | 0.73 | 0.34 |
| generative-latent-flow-a-framework-for-non | 10.3 | - | - |
| Model 3 | 42.85 | 0.6648 | 0.4973 |
| probabilistic-auto-encoder | 28.0 | - | - |
| spiking-diffusion-vector-quantized-discrete | 91.98 | - | - |
| peergan-generative-adversarial-networks-with | 21.73 | - | - |
| sliced-iterative-generator | 13.7 | - | - |