Conceptual Compression via Deep Structure and Texture Synthesis-Reference-Cited by-同舟云学术

Conceptual Compression via Deep Structure and Texture Synthesis

Published:2022 Issue: Volume:31 Page:2809-2823
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Chang Jianhui¹^ORCID,Zhao Zhenghui²^ORCID,Jia Chuanmin¹^ORCID,Wang Shiqi³^ORCID,Yang Lingbo¹^ORCID,Mao Qi⁴^ORCID,Zhang Jian⁵^ORCID,Ma Siwei¹^ORCID

Affiliation:

1. National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China

2. LMAM, School of Mathematical Sciences, Peking University, Beijing, China

3. Department of Computer Science, City University of Hong Kong, Hong Kong

4. School of Information and Communication Engineering and the State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China

5. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China

Funder

National Natural Science Foundation of China

National Postdoctoral Program for Innovative Talents

High Performance Computing Platform of Peking University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09738839.pdf?arnumber=9738839

Reference60 articles.

1. Analyzing and Improving the Image Quality of StyleGAN

2. Arithmetic coding for data compression

3. Holistically-Nested Edge Detection

4. Towards Coding For Human And Machine Vision: A Scalable Image Coding Approach

5. Layered Conceptual Image Compression Via Deep Semantic Synthesis

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