Integrating Pretrained Encoders for Generalized Face Frontalization

In the field of face frontalization, the model obtained by training on a particular dataset often underperforms on other datasets. This paper presents the Pre-trained Feature Transformation GAN (PFT-GAN), which is designed to fully utilize diverse facial feature information available from pre-traine...

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מידע ביבליוגרפי

Principais autores:	Wonyoung Choi, Gi Pyo Nam, Junghyun Cho, Ig-Jae Kim, Hyeong-Seok Ko
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Access
נושאים:	Face frontalization face pose normalization face recognition generative modeling
גישה מקוונת:	https://ieeexplore.ieee.org/document/10472503/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!