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Deep learning (DL) based semantic communication methods have been explored to transmit images efficiently in recent years.
Topology from the differentiable viewpoint
John Milnor and David W Weaver, · 1997
Earlier work this paper cites.
“Density estimation using real nvp,”
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio, · 2016
Earlier work this paper cites.
“Generative adversarial networks: An overview,”
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, and Anil A Bharath, · 2018
Earlier work this paper cites.
“The unreasonable effectiveness of deep features as a perceptual metric,”
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang, · 2018
Earlier work this paper cites.
“Deep joint source-channel coding for wireless image transmission,”
Eirina Bourtsoulatze, David Burth Kurka, and Deniz Gündüz, · 2019
Earlier work this paper cites.
“A style-based generator architecture for generative adversarial networks,”
Tero Karras, Samuli Laine, and Timo Aila, · 2019
Earlier work this paper cites.
“Image2stylegan: How to embed images into the stylegan latent space?,”
Rameen Abdal, Yipeng Qin, and Peter Wonka, · 2019
Cited alongside, same era.
“Wireless image retrieval at the edge,”
Mikolaj Jankowski, Deniz Gündüz, and Krystian Mikolajczyk, · 2020
Cited alongside, same era.
“Semanticgan: Generative adversarial networks for semantic image to photo-realistic image translation,”
Junling Liu, Yuexian Zou, and Dongming Yang, · 2020
Cited alongside, same era.
“Normalizing flows: An introduction and review of current methods,”
Ivan Kobyzev, Simon JD Prince, and Marcus A Brubaker, · 2020
Cited alongside, same era.
“Maskgan: Towards diverse and interactive facial image manipulation,”
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo, · 2020
Cited alongside, same era.
“Deep learning-based image semantic coding for semantic communications,”
Danlan Huang, Xiaoming Tao, Feifei Gao, and Jianhua Lu, · 2021
Later among the works it cites.
“Privacy–enhancing face biometrics: A comprehensive survey,”
Blaž Meden, Peter Rot, Philipp Terhörst, Naser Damer, Arjan Kuijper, Walter J Scheirer, Arun Ross, Peter Peer, and Vitomir Štruc, · 2021
Later among the works it cites.
“Wireless transmission of images with the assistance of multi-level semantic information,”
Zhenguo Zhang, Qianqian Yang, Shibo He, Mingyang Sun, and Jiming Chen, · 2022
Closest in time.
“Perceptual learned source-channel coding for high-fidelity image semantic transmission,”
Jun Wang, Sixian Wang, Jincheng Dai, Zhongwei Si, Dekun Zhou, and Kai Niu, · 2022
Closest in time.
“Semanticstylegan: Learning compositional generative priors for controllable image synthesis and editing,”
Yichun Shi, Xiao Yang, Yangyue Wan, and Xiaohui Shen, · 2022
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