Zero-Shot Image Compression with Diffusion-Based Posterior Sampling.
Noam ElataTomer MichaeliMichael EladPublished in: CoRR (2024)
Keyphrases
- image compression
- markov chain monte carlo
- vector quantization
- metropolis hastings
- random sampling
- wavelet transform
- compression ratio
- compression scheme
- monte carlo
- subband
- probability distribution
- compression algorithm
- image processing
- sampling algorithm
- low bit rate
- sampling methods
- discrete cosine transform
- anisotropic diffusion
- posterior probability
- sample size
- diffusion process
- probabilistic model
- diffusion model
- posterior distribution
- bayesian framework
- edge detection
- compressed images
- nonlinear diffusion
- sampled data
- feature vectors