Generative Models
CS-GAN
Introduced by Wu et al. in Deep Compressed SensingCS-GAN is a type of generative adversarial network that uses a form of deep compressed sensing, and latent optimisation, to improve the quality of generated samples.
Source: Deep Compressed Sensing
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Edge-computing | 1 | 25.00% |
| Conditional Image Generation | 1 | 25.00% |
| Image Generation | 1 | 25.00% |
| Meta-Learning | 1 | 25.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
Euclidean Norm Regularization
|
Regularization | |
Latent Optimisation
|
Latent Variable Sampling |
