Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency-Reference-Cited by-同舟云学术

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Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency

Published:2024-08 Issue:4 Volume:31 Page:48-56
ISSN:1536-1284
Container-title:IEEE Wireless Communications
language:
Short-container-title:IEEE Wireless Commun.

Author:

Dai Jincheng¹,Qin Xiaoqi¹,Wang Sixian¹,Xu Lexi²,Niu Kai¹,Zhang Ping¹

Affiliation:

1. Beijing University of Posts and Telecommunications,China

2. China United Network Communications Corporation,China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7742/10628020/10628030.pdf?arnumber=10628030

Reference15 articles.

1. High-Resolution Image Synthesis with Latent Diffusion Models

2. Nonlinear Transform Coding

3. Deep Generative Modeling

4. Language Modeling Is Compression;Delétang;arXiv preprint,2023

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