CS-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 SensingPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Edge-computing | 1 | 25.00% |
Conditional Image Generation | 1 | 25.00% |
Image Generation | 1 | 25.00% |
Meta-Learning | 1 | 25.00% |
Component | Type |
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Euclidean Norm Regularization
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Regularization | |
Latent Optimisation
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Latent Variable Sampling |