Computer Graphics
TU Braunschweig

Perception of Video Manipulation


Recent advances in deep learning-based techniques enable highly realistic facial video manipulations. We investigate the response of human observers’ on these manipulated videos in order to assess the perceived realness of modified faces and their conveyed emotions.

Facial reenactment and face swapping offer great possibilities in creative fields like the post-processing of movie materials. However, they can also easily be abused to create defamatory video content in order to hurt the reputation of the target. As humans are highly specialized in processing and analyzing faces, we aim to investigate perception towards current facial manipulation techniques. Our insights can guide both the creation of virtual actors with a high perceived realness as well as the detection of manipulations based on explicit and implicit feedback of observers.


Leslie Wöhler, Susana Castillo, Marcus Magnor:
Personality Analysis of Face Swaps: Can They be Used as Avatars?
in ACM Proceedings of the International Conference on Intelligent Virtual Agents, no. 14, ACM, pp. 1-8, September 2022.

Leslie Wöhler, Moritz von Estorff, Susana Castillo, Marcus Magnor:
Automatic Generation of Customized AOIs and Evaluation of Observers' Gaze in Portrait Videos
in Proceedings of the ACM on Human-Computer Interaction , vol. 6, no. ETRA, ACM, pp. 144:1-144:14, May 2022.

Jan-Philipp Tauscher, Susana Castillo, Sebastian Bosse, Marcus Magnor:
EEG-based Analysis of the Impact of Familiarity in the Perception of Deepfake Videos
in Proc. IEEE International Conference on Image Processing (ICIP), IEEE, pp. 160-164, September 2021.

Leslie Wöhler, Martin Zembaty, Susana Castillo, Marcus Magnor:
Towards Understanding Perceptual Differences between Genuine and Face-Swapped Videos
in Proc. ACM Human Factors in Computing Systems (CHI), no. 240, Association for Computing Machinery, pp. 1-13, May 2021.

Colin Groth, Jan-Philipp Tauscher, Susana Castillo, Marcus Magnor:
Altering the Conveyed Facial Emotion Through Automatic Reenactment of Video Portraits
in Proc. International Conference on Computer Animation and Social Agents (CASA), vol. 1300, Springer, Cham, pp. 128-135, November 2020.

Leslie Wöhler, Jann-Ole Henningson, Susana Castillo, Marcus Magnor:
PEFS: A Validated Dataset for Perceptual Experiments on Face Swap Portrait Videos
in Proc. International Conference on Computer Animation and Social Agents (CASA), vol. 1300, Springer, Cham, pp. 120-127, November 2020.

Colin Groth:
Automatic Face Re-Enactment in Real-World Portrait Videos to Manipulate Emotional Expression
Master's thesis, Institut für Computergraphik, TU Braunschweig, April 2020.
Awarded with the "KI-Talent" prize 2020 of the Niedersächsisches Ministerium für Wirtschaft.

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