Deep Generative Models for Image Generation: A Practical Comparison Between Variational Autoencoders and Generative Adversarial Networks.
Mohamed El-KaddouryAbdelhak MahmoudiMohamed Majid HimmiPublished in: MSPN (2019)
Keyphrases
- generative model
- image generation
- deep belief networks
- discriminative learning
- probabilistic model
- discriminative models
- generative and discriminative models
- prior knowledge
- em algorithm
- high resolution
- topic models
- bayesian framework
- fisher kernel
- discriminative methods
- denoising
- conditional random fields
- semi supervised
- image segmentation
- active learning
- unsupervised learning
- image processing
- object categories
- digital imaging
- optical flow
- three dimensional
- discriminatively trained