One-Shot Face Reenactment with 2D Facial Landmark Conditional Normalizing Flow

Han, Dajin; Kim, Tae Hyun

doi:10.1109/ICEIC57457.2023.10049848

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One-Shot Face Reenactment with 2D Facial Landmark Conditional Normalizing Flow

Han, Dajin;
Kim, Tae Hyun

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초록

Normalizing Flow (NF) has gained growing popularity in various image generation tasks. In this work, we develop a new method that enables the NF to control face generation, which has not been studied yet. To do so, we introduce several loss functions to facilitate stable training and inference while controlling face generation given a facial landmark. In our experiments, we evaluate the performance of the proposed method and show the capability of the NF in controlling the face generation task.

키워드

face reenactment; image generation; normalizing flow; pose transfer; Face generation; Face reenactment; Facial landmark; Image generations; Loss functions; Normalizing flow; Performance; Pose transfer; Computer vision

제목: One-Shot Face Reenactment with 2D Facial Landmark Conditional Normalizing Flow

저자: Han, Dajin; Kim, Tae Hyun

DOI: 10.1109/ICEIC57457.2023.10049848

발행일: 2023-02

유형: Conference Paper

저널명: 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

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