“第二十四章 深度造假”版本间的差异
来自cslt Wiki
（→高级读者） |
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| （相同用户的7个中间修订版本未显示） | |||
| 第12行： | 第12行： | ||
* AI100问：深度伪造技术的原理是什么[http://aigraph.cslt.org/ai100/AI-100-99-深度伪造.pdf] | * AI100问：深度伪造技术的原理是什么[http://aigraph.cslt.org/ai100/AI-100-99-深度伪造.pdf] | ||
* IEEE Spectrum, Facebook AI Launches Its Deepfake Detection Challenge [https://spectrum.ieee.org/facebook-ai-launches-its-deepfake-detection-challenge] | * IEEE Spectrum, Facebook AI Launches Its Deepfake Detection Challenge [https://spectrum.ieee.org/facebook-ai-launches-its-deepfake-detection-challenge] | ||
| − | * What do we do about deepfake video? [https://www.theguardian.com/technology/2019/jun/23/what-do-we-do-about-deepfake-video-ai-facebook] | + | * What do we do about deepfake video? [*][https://www.theguardian.com/technology/2019/jun/23/what-do-we-do-about-deepfake-video-ai-facebook] |
* 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 [https://www.51cto.com/article/704664.html] | * 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 [https://www.51cto.com/article/704664.html] | ||
| − | + | * 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？ [https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650769080&idx=2&sn=73b9eaf15c14b5cc01f84b0e2fc7c3c3&chksm=871a42c6b06dcbd0391201ac4c9117be312b7707bed752f84fb1c0b0fff6ed41e974f77a7315&scene=21#wechat_redirect] | |
==视频展示== | ==视频展示== | ||
| 第25行： | 第25行： | ||
* 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] | ||
| − | * | + | * These people does not exist[https://www.thispersondoesnotexist.com/] |
==开发者资源== | ==开发者资源== | ||
| 第32行： | 第32行： | ||
* Deepfakes [https://github.com/deepfakes/faceswap] | * Deepfakes [https://github.com/deepfakes/faceswap] | ||
* Deepfake Live [https://github.com/iperov/DeepFaceLive] | * Deepfake Live [https://github.com/iperov/DeepFaceLive] | ||
| + | * 人工智能换脸工具（Deepfake）盘点（2021） [https://www.guoyuguang.com/ai-deepfake-tools/] | ||
| 第40行： | 第41行： | ||
* 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] | ||
| + | * 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]
