Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.
Matthew J. MuckleyAlaaeldin El-NoubyKaren UllrichHervé JégouJakob VerbeekPublished in: CoRR (2023)
Keyphrases
- image compression
- statistical models
- vector quantization
- probabilistic model
- maximum likelihood
- experimental data
- neural network
- neural model
- prior probabilities
- network architecture
- associative memory
- compression ratio
- statistical methods
- statistical model
- statistical analysis
- wavelet transform
- bayesian networks
- face recognition
- machine learning