3 papers
cs.MM2025
Learning Switchable Priors for Neural Image Compression
Haotian Zhang, Yuqi Li, Li Li +1
Neural image compression (NIC) usually adopts a predefined family of probabilistic distributions as the prior of the latent variables, and meanwhile relies on entropy models to est…
cs.IT2025
The Gap Between Principle and Practice of Lossy Image Coding
Haotian Zhang, Dong Liu
Lossy image coding is the art of computing that is principally bounded by the image's rate-distortion function. This bound, though never accurately characterized, has been approach…
eess.IV2024
Generalized Gaussian Model for Learned Image Compression
Haotian Zhang, Li Li, Dong Liu
In learned image compression, probabilistic models play an essential role in characterizing the distribution of latent variables. The Gaussian model with mean and scale parameters…