Light Field Image Compression Using Generative Adversarial Network-Based View Synthesis-Reference-Cited by-同舟云学术

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Light Field Image Compression Using Generative Adversarial Network-Based View Synthesis

Published:2019-03 Issue:1 Volume:9 Page:177-189
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Jia Chuanmin^ORCID,Zhang Xinfeng,Wang Shanshe^ORCID,Wang Shiqi^ORCID,Ma Siwei^ORCID

Funder

National Natural Science Foundation of China

Top-Notch Young Talents Program of China

Peking University

Hong Kong RGC Early Career Scheme

City University of Hong Kong

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5503868/8664408/08574895.pdf?arnumber=8574895

Cited by 52 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. Light field imaging technology for virtual reality content creation: A review;IET Image Processing;2024-06-14

2. Light-Field Image Compression Based on a Two-Dimensional Prediction Coding Structure;Information;2024-06-07

3. Efficient random-access GPU video decoding for light-field rendering;Journal of Visual Communication and Image Representation;2024-06

4. CGVC-T: Contextual Generative Video Compression With Transformers;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06

5. Learning-based light field imaging: an overview;EURASIP Journal on Image and Video Processing;2024-05-30

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