Restore DeepFakes video frames via identifying individual motion styles
Abstract Recent advance on highly realistic AI‐synthesised video approaches makes it hard to distinguish whether a speaker in video is real. Many existing DeepFakes detection approaches can be invalidated by using them as supervision in adversarial training, which in turn improves the performance of...
| Published in: | Electronics Letters |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.12015 |
