Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model-Reference-Cited by-同舟云学术

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Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model

Published:2024-01-03 Issue: Volume: Page:2888-2897
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Iwai Shoma¹,Miyazaki Tomo¹,Omachi Shinichiro¹

Affiliation:

1. Tohoku University,Graduate School of Engineering,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10483997.pdf?arnumber=10483997

Reference52 articles.

1. Multi-Realism Image Compression with a Conditional Generator

2. Variable Rate Allocation for Vector-Quantized Autoencoders

3. End-to-end optimized image compression;Ballé

4. Variational image compression with a scale hyperprior;Ballé

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unveiling the Future of Human and Machine Coding: A Survey of End-to-End Learned Image Compression;Entropy;2024-04-24

2. Semantically-Guided Image Compression for Enhanced Perceptual Quality at Extremely Low Bitrates;IEEE Access;2024

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