Research map / Image generation / Autoregressive and latent generation
Semantic Interpolation in Implicit Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a Gamma prior instead of a normal prior | DCGAN · CelebA | LAS: 0.007496 -> 0.005638 | Helped |
| Use a Gamma prior instead of a normal prior for straight Euclidean traversal | DCGAN · CelebA | visual interpolation quality | Helped |
| Use a Gamma prior instead of a normal prior for straight Euclidean traversal | DCGAN · CelebA, varying latent dimensionality | traversal quality | Helped |
Closest papers by meaning
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