OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

• Main Authors: Zhang, Chen, Zhang, Shifeng, Carlucci, Fabio Maria, Li, Zhenguo
• Format: Journal Article
• Language: English
• Published: 02.11.2021
• Subjects: Computer Science - Artificial Intelligence; Computer Science - Learning

Explicit deep generative models (DGMs), e.g., VAEs and Normalizing Flows, have shown to offer an effective data modelling alternative for lossless compression. However, DGMs themselves normally require large storage space and thus contaminate the advantage brought by accurate data density estimation...