ANFIC: Image Compression Using Augmented Normalizing Flows
This paper introduces an end-to-end learned image compression system, termed ANFIC, based on Augmented Normalizing Flows (ANF). ANF is a new type of flow model, which stacks multiple variational autoencoders (VAE) for greater model expressiveness. The VAE-based image compression has gone mainstream,...
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Main Authors: | Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski |
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Format: | article |
Language: | EN |
Published: |
IEEE
2021
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Subjects: | |
Online Access: | https://doaj.org/article/c929fe6d235b4cfdaefe91c5b076a3cc |
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