1 citations · 2 across the 16 of their papers we have counts for
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Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?
Xiaoxuan Han, Songlin Yang, Wei Wang +2
Deep neural networks have significantly improved the performance of face forgery detection models in discriminating Artificial Intelligent Generated Content (AIGC). However, their…
Learning Dense Correspondence for NeRF-Based Face Reenactment
Songlin Yang, Wei Wang, Yushi Lan +4
Face reenactment is challenging due to the need to establish dense correspondence between various face representations for motion transfer. Recent studies have utilized Neural Radi…
Context-Aware Talking-Head Video Editing
Songlin Yang, Wei Wang, Jun Ling +3
Talking-head video editing aims to efficiently insert, delete, and substitute the word of a pre-recorded video through a text transcript editor. The key challenge for this task is…
Designing a 3D-Aware StyleNeRF Encoder for Face Editing
Songlin Yang, Wei Wang, Bo Peng +1
GAN inversion has been exploited in many face manipulation tasks, but 2D GANs often fail to generate multi-view 3D consistent images. The encoders designed for 2D GANs are not able…