Conditional Image Generation On Cifar 100
评估指标
FID
Inception Score
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | |||
|---|---|---|---|---|
| MHingeGAN | 17.3 | 14.36 | cGANs with Multi-Hinge Loss | |
| aw-SN-GAN | 14 | 9.48 | Adaptive Weighted Discriminator for Training Generative Adversarial Networks | |
| aw-BigGAN | 10.23 | 11.22 | Adaptive Weighted Discriminator for Training Generative Adversarial Networks | |
| ADC-GAN | 8.12 | - | Conditional GANs with Auxiliary Discriminative Classifier | |
| TAC-GAN | 7.22 | 9.34 | Twin Auxiliary Classifiers GAN | |
| FQ-GAN | 7.15 | 9.74 | Feature Quantization Improves GAN Training | |
| DLSM | 3.86 | 11.62 | Denoising Likelihood Score Matching for Conditional Score-based Data Generation |
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