2023
DOI: 10.1109/access.2023.3338864
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Re-Aging GAN++: Temporally Consistent Transformation of Faces in Videos

Farkhod Makhmudkhujaev,
Sungeun Hong,
In Kyu Park

Abstract: The challenge of transforming the apparent age of human faces in videos has not been adequately addressed due to the complexities involved in preserving spatial and temporal consistency. This task is further complicated by the scarcity of video datasets featuring specific individuals across various age groups. To address these issues, we introduce Re-Aging GAN++ (RAGAN++), a unified framework designed to perform facial age transformation in videos utilizing an innovative GAN-based model trained on still image … Show more

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