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About Deepfakes and Beyond: A Survey of Face Manipulation and Fake Detection
This document surveys techniques for manipulating face images, including deepfakes, and detecting such manipulations. It discusses four types of facial manipulation: 1) entire face synthesis, 2) identity swap (deepfakes), 3) attribute manipulation, and 4) expression swap. It also reviews public databases and benchmarks for evaluating fake detection methods. Deepfake techniques have improved and pose new challenges for detection due to accessibility to large data and deep learning advances.
Detailed Information
| Author: | ['mayank tiwari'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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