COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability-Reference-Cited by-同舟云学术

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COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability

Published:2023-10-01 Issue: Volume:4 Page:12780-12789
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Park Jongmin¹,Lee Jooyoung²,Kim Munchurl¹

Affiliation:

1. KAIST

2. ETRI

Funder

Electronics and Telecommunications Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378365.pdf?arnumber=10378365

Reference43 articles.

1. software package

2. Generative Adversarial Networks for Extreme Learned Image Compression

3. End-to-end optimized image compression;Ballé,2016

4. Variational image compression with a scale hyperprior;Ballé,2018

5. Compressai: a pytorch library and evaluation platform for end-to-end compression research;Bégaint,2020

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