Evaluating Lossy Compression Rates of Deep Generative Models.
Sicong HuangAlireza MakhzaniYanshuai CaoRoger B. GrossePublished in: ICML (2020)
Keyphrases
- generative model
- compression rate
- lossless compression
- lossy compression
- data compression
- compression ratio
- high compression
- probabilistic model
- deep belief networks
- discriminative learning
- image compression
- image quality
- em algorithm
- video compression
- hierarchical hidden markov models
- discriminative models
- visual quality
- semi supervised
- storage requirements
- sparse coding
- bit rate
- conditional random fields
- prior knowledge
- compressed images
- generative and discriminative models
- sampling rate
- expectation maximization
- gray level images
- deep learning
- data hiding
- compression algorithm
- video coding
- active learning
- watermarking algorithm
- computer vision