Scalable Face Image Coding via StyleGAN Prior: Toward Compression for Human-Machine Collaborative Vision-Reference-Cited by-同舟云学术

Scalable Face Image Coding via StyleGAN Prior: Toward Compression for Human-Machine Collaborative Vision

Published:2024 Issue: Volume:33 Page:408-422
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Mao Qi¹^ORCID,Wang Chongyu¹^ORCID,Wang Meng²^ORCID,Wang Shiqi²^ORCID,Chen Ruijie¹^ORCID,Jin Libiao¹^ORCID,Ma Siwei³^ORCID

Affiliation:

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

2. Department of Computer Science, City University of Hong Kong, Hong Kong, China

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

Funder

National Natural Science Foundation of China

National Key Research and Development Project of China

Fundamental Research Funds for the Central Universities

Public Computing Cloud, CUC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10372532.pdf?arnumber=10372532

Reference58 articles.

1. Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

2. Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression

3. SSSIC: Semantics-to-Signal Scalable Image Coding With Learned Structural Representations

4. Semantic Scalable Image Compression with Cross-Layer Priors

5. Semantics-to-Signal Scalable Image Compression with Learned Revertible Representations

Cited by 1 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. Multifaceted Approaches for Facial Image Compression: A Review on State of Art Techniques and Applications;2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT);2024-03-15