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Facial Inpainting

Facial inpainting (or face completion) is the task of generating plausible facial structures for missing pixels in a face image.

( Image credit: SymmFCNet )

Papers

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Showing 11–20 of 60 papers

TitleStatusHype
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Do Inpainting Yourself: Generative Facial Inpainting Guided by ExemplarsCode1
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components DistributionsCode1
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting—0
Contrastive Learning for Diverse Disentangled Foreground Generation—0
Binary Diffusion Probabilistic Model—0
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion—0
Contrastive Attention Network with Dense Field Estimation for Face Completion—0
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification—0
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