Image-to-Image Translation Generative Adversarial Networks for Video Source Camera Falsification-Reference-Cited by-同舟云学术

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Image-to-Image Translation Generative Adversarial Networks for Video Source Camera Falsification

Published:2023 Issue: Volume: Page:3-18
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Veksler Maryna,Caspard Clara,Akkaya Kemal

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36574-4_1

Reference38 articles.

1. Auto-painter: cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks. Neurocomputing 311, 78–87 (2018). https://doi.org/10.1016/j.neucom.2018.05.045

2. GANs for medical image analysis. Artif. Intell. Med. 109, 101938 (2020). https://doi.org/10.1016/j.artmed.2020.101938

3. Super-resolution using GANs for medical imaging. Proc. Comput. Sci. 173, 28–35 (2020). https://doi.org/10.1016/j.procs.2020.06.005. International Conference on Smart Sustainable Intelligent Computing and Applications Under ICITETM 2020

4. Aldausari, N., Sowmya, A., Marcus, N., Mohammadi, G.: Video generative adversarial networks: a review. ACM Comput. Surv. 55(2), 1–25 (2022)

5. Barni, M., Chen, Z., Tondi, B.: Adversary-aware, data-driven detection of double JPEG compression: how to make counter-forensics harder. In: 2016 IEEE International Workshop on Information Forensics and Security (WIFS), pp. 1–6 (2016). https://doi.org/10.1109/WIFS.2016.7823902

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