Generative Models
Hierarchical Variational Autoencoder
Introduced by Sønderby et al. in Ladder Variational Autoencoders
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Generation | 3 | 11.54% |
| Decoder | 2 | 7.69% |
| Quantization | 2 | 7.69% |
| Point Cloud Generation | 2 | 7.69% |
| Stock Prediction | 1 | 3.85% |
| Stock Price Prediction | 1 | 3.85% |
| Scene Generation | 1 | 3.85% |
| Image Compression | 1 | 3.85% |
| Continual Learning | 1 | 3.85% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
