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Found 4 papers, 1 papers with code
Dual-Generator Face Reenactment
We propose the Dual-Generator (DG) network for large-pose face reenactment.
R-MNet: A Perceptual Adversarial Network for Image Inpainting
We address the problem by proposing a Wasserstein GAN combined with a new reverse mask operator, namely Reverse Masking Network (R-MNet), a perceptual adversarial network for image inpainting.
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
Additionally, we propose a Wasserstein-Perceptual loss function to preserve colour and maintain realism on a reconstructed image.
Regressive Tree Structured Model for Facial Landmark Localization
The r-TSM is built on the mid-resolution octaves so that it can locate the landmarks on the face candidates given by the c-TSM and improve precision.
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