Towards Understanding Perceptual Differences between Genuine and Face-Swapped Videos-Reference-Cited by-同舟云学术

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Towards Understanding Perceptual Differences between Genuine and Face-Swapped Videos

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Wöhler Leslie¹,Zembaty Martin¹,Castillo Susana¹,Magnor Marcus¹

Affiliation:

1. Institut für Computergraphik TU Braunschweig, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445627

Reference73 articles.

1. MesoNet: a Compact Facial Video Forgery Detection Network

2. Eye-movement-based memory effect: A reprocessing effect in face perception.

3. Context in Emotion Perception

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2. Can deepfakes be used to study emotion perception? A comparison of dynamic face stimuli;Behavior Research Methods;2024-06-04

3. Generative AI in User-Generated Content;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms;Computers & Graphics;2024-04

5. Deepfakes: evolution and trends;Soft Computing;2023-06-15

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