Commit 7400b285 authored by PhilFischer's avatar PhilFischer
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parent 41527254
......@@ -43,13 +43,3 @@ The decoder models the conditional likelihood given the latent sample $`p(\mathb
## TODO:
- [ ] Implement content loss using Euclidean distance or Wasserstein metric of an image representation network.
- [ ] Optimize latent space rank: 1D or 2D representation.
- [ ] Optimize latent space form: [Quantized Latent Space](
- [x] Implement style loss using an oracle classifier.
- [x] Prevent posterior collapse: β-VAE or [σ-VAE](
- [x] Optimize feature extraction head with transfer learning.
- [x] Optimize decoder distribution: Standard Gaussian, Scaled Gaussian, Beta, Kumaraswamy, **Discrete**.
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