Enhancing Facial Reconstruction Using Graph Attention Networks

Traditionally, research on three-dimensional (3D) facial reconstruction has focused heavily on methods that use 3D Morphable Models (3DMMs) based on principal component analysis (PCA). Because such methods are linear, they are robust to external noise. The PCA method has limitations when restoring f...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Hyeong Geun Lee, Jee Sic Hur, Yeo Chan Yoon, Soo Kyun Kim
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	IEEE 2023-01-01
श्रृंखला:	IEEE Access
विषय:	Graph convolution network graph attention network convolution neural network variational autoencoder facial reconstruction
ऑनलाइन पहुंच:	https://ieeexplore.ieee.org/document/10339317/
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