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A Theory of Independent Mechanisms for Extrapolation in Generative Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Continue classical VAE training for 40000 additional iterations | VAE on CelebA · CelebA | fine-level stretching extrapolation quality | Hurt |
| Minimize spectral dependence at image, fine, and intermediate levels while training | VAE on CelebA · CelebA | stretching distortion | Helped |
| Stretch the intermediate-level activation maps | VAE on CelebA · CelebA | inter-eye distance extrapolation | Helped |
| Stretch the fine-level activation maps | VAE on CelebA · CelebA | stretching distortion | Hurt |
| Use the encoder rather than the decoder architecture | VAE on CelebA · CelebA | spectral independence ratio distribution | Hurt |
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