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McGan: Mean and Covariance Feature Matching GAN
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use covariance feature matching instead of WGAN's mean matching | McGAN · CIFAR-10, conditional (+L) | inception score: 3.24 $\pm$ 0.02 -> 7.29 $\pm$ 0.06 | Helped |
| Use covariance feature matching instead of WGAN's mean matching | McGAN · CIFAR-10, unconditional (+L) | inception score: 5.21 $\pm$ 0.07 -> 6.97 $\pm$ 0.10 | Helped |
| Use covariance feature matching instead of WGAN's mean matching | McGAN · CIFAR-10, unconditional (-L) | inception score: 6.39 $\pm$ 0.07 -> 6.73 $\pm$ 0.04 | Helped |
| Add L1 mean matching to covariance matching (ablation) | McGAN · CIFAR-10, conditional (+L) | inception score: 7.29 $\pm$ 0.06 -> 7.11 $\pm$ 0.04 | Hurt |
| Add L1 mean matching to covariance matching (ablation) | McGAN · CIFAR-10, unconditional (+L) | inception score: 6.97 $\pm$ 0.10 -> 6.93 $\pm$ 0.07 | No clear effect |
| Add L1 mean matching to covariance matching (ablation) | McGAN · CIFAR-10, unconditional (-L) | inception score: 6.73 $\pm$ 0.04 -> 6.42 $\pm$ 0.09 | Hurt |
| Add L2 mean matching to covariance matching (ablation) | McGAN · CIFAR-10, conditional (+L) | inception score: 7.29 $\pm$ 0.06 -> 7.27 $\pm$ 0.04 | No clear effect |
| Add L2 mean matching to covariance matching (ablation) | McGAN · CIFAR-10, unconditional (+L) | inception score: 6.97 $\pm$ 0.10 -> 6.69 $\pm$ 0.08 | Hurt |
| Add L2 mean matching to covariance matching (ablation) | McGAN · CIFAR-10, unconditional (-L) | inception score: 6.73 $\pm$ 0.04 -> 6.35 $\pm$ 0.04 | Hurt |
| Vary the number of covariance components from 4 to 64 (ablation) | Covariance matching GAN · LFW and LSUN bedrooms | training stability: 4 to 64 | No clear effect |
Closest papers by meaning
- Sobolev GAN (ICLR 2018 · similarity 0.88)
- MCGAN: Enhancing GAN Training with Regression-Based Generator Loss (AAAI 2025 · similarity 0.87)
- Sphere Generative Adversarial Network Based on Geometric Moment Matching (CVPR 2019 · similarity 0.86)
- Metropolis-Hastings Generative Adversarial Networks (ICML 2019 · similarity 0.86)
- SMaRt: Improving GANs with Score Matching Regularity (ICML 2024 · similarity 0.85)
- Bayesian GAN (NeurIPS 2017 · similarity 0.85)
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