“第二十四章 深度造假”版本间的差异
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* Create fake video online [https://www.synthesia.io/free-ai-video-demo#SalesPitchNew] | * Create fake video online [https://www.synthesia.io/free-ai-video-demo#SalesPitchNew] | ||
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* These people does not exist[https://www.thispersondoesnotexist.com/] | * These people does not exist[https://www.thispersondoesnotexist.com/] | ||
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* Deep Learning for Deepfakes Creation and Detection: A Survey [https://arxiv.org/pdf/1909.11573.pdf] | * Deep Learning for Deepfakes Creation and Detection: A Survey [https://arxiv.org/pdf/1909.11573.pdf] | ||
* Suwajanakorn S, Seitz S M, Kemelmacher-Shlizerman I. Synthesizing obama: learning lip sync from audio[J]. ACM Transactions on Graphics (ToG), 2017, 36(4): 1-13. [https://dl.acm.org/doi/pdf/10.1145/3072959.3073640] | * Suwajanakorn S, Seitz S M, Kemelmacher-Shlizerman I. Synthesizing obama: learning lip sync from audio[J]. ACM Transactions on Graphics (ToG), 2017, 36(4): 1-13. [https://dl.acm.org/doi/pdf/10.1145/3072959.3073640] | ||
| − | * How to Produce a DeepFake Video in 5 Minutes [https://towardsdatascience.com/how-to-produce-a-deepfake-video-in-5-minutes-513984fd24b6] | + | * How to Produce a DeepFake Video in 5 Minutes [*][https://towardsdatascience.com/how-to-produce-a-deepfake-video-in-5-minutes-513984fd24b6] |
* Matern F, Riess C, Stamminger M. Exploiting visual artifacts to expose deepfakes and face manipulations[C]//2019 IEEE Winter Applications of Computer Vision Workshops (WACVW). IEEE, 2019: 83-92. [https://ieeexplore.ieee.org/abstract/document/8638330] | * Matern F, Riess C, Stamminger M. Exploiting visual artifacts to expose deepfakes and face manipulations[C]//2019 IEEE Winter Applications of Computer Vision Workshops (WACVW). IEEE, 2019: 83-92. [https://ieeexplore.ieee.org/abstract/document/8638330] | ||
* Hu S, Li Y, Lyu S. Exposing GAN-generated faces using inconsistent corneal specular highlights[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 2500-2504.[https://arxiv.org/pdf/2009.11924.pdf?source=korben.info] | * Hu S, Li Y, Lyu S. Exposing GAN-generated faces using inconsistent corneal specular highlights[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 2500-2504.[https://arxiv.org/pdf/2009.11924.pdf?source=korben.info] | ||
2023年8月13日 (日) 02:00的最后版本
教学资料
扩展阅读
- AI100问：深度伪造技术的原理是什么[2]
- IEEE Spectrum, Facebook AI Launches Its Deepfake Detection Challenge [3]
- What do we do about deepfake video? [*][4]
- Deepfake首次参与战争！乌克兰总统被伪造投降视频，无奈推特辟谣 [5]
- 机器之心：刷屏的ZAO换脸APP你玩了吗？里面的霸王条款你造吗？ [6]
视频展示
演示链接
开发者资源
高级读者
- 李旭嵘等，深度伪造与检测技术综述,软件学报 [15]
- Deep Learning for Deepfakes Creation and Detection: A Survey [16]
- Suwajanakorn S, Seitz S M, Kemelmacher-Shlizerman I. Synthesizing obama: learning lip sync from audio[J]. ACM Transactions on Graphics (ToG), 2017, 36(4): 1-13. [17]
- How to Produce a DeepFake Video in 5 Minutes [*][18]
- Matern F, Riess C, Stamminger M. Exploiting visual artifacts to expose deepfakes and face manipulations[C]//2019 IEEE Winter Applications of Computer Vision Workshops (WACVW). IEEE, 2019: 83-92. [19]
- Hu S, Li Y, Lyu S. Exposing GAN-generated faces using inconsistent corneal specular highlights[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 2500-2504.[20]
