Improving Inference for Neural Image Compression.
Yibo YangRobert BamlerStephan MandtPublished in: NeurIPS (2020)
Keyphrases
- image compression
- vector quantization
- network architecture
- wavelet transform
- neural network
- low bit rate
- compression scheme
- probabilistic inference
- artificial neural
- bayesian networks
- entropy coding
- data compression
- belief networks
- graphical models
- bayesian inference
- compressed images
- image transmission
- inference process
- compression standards
- bayesian model
- dynamic bayesian networks
- reconstructed image
- compression ratio
- subband
- multiresolution
- image processing