Deep Generative Models for Distribution-Preserving Lossy Compression.
Michael TschannenEirikur AgustssonMario LucicPublished in: NeurIPS (2018)
Keyphrases
- generative model
- lossy compression
- probabilistic model
- image quality
- image compression
- lossless compression
- bayesian framework
- discriminative learning
- mixture model
- bit rate
- em algorithm
- pattern matching
- conditional random fields
- compression ratio
- deep belief networks
- prior knowledge
- discriminative models
- probability distribution
- gray level images
- object categories
- semi supervised
- deep learning
- hierarchical hidden markov models
- generative and discriminative models
- low bit rate
- binary images
- probability density function
- machine learning
- active learning
- computational complexity
- high quality
- feature selection