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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 1–10 of 60 papers

TitleStatusHype
Binary Diffusion Probabilistic Model—0
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation—0
Face Mask Removal with Region-attentive Face InpaintingCode0
Masked Face Recognition with Generative-to-Discriminative Representations—0
ABANet: Attention boundary-aware network for image segmentationCode1
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent SpaceCode0
Face Swap via Diffusion ModelCode2
Learning Position-Aware Implicit Neural Network for Real-World Face Inpainting—0
Compensation Sampling for Improved Convergence in Diffusion ModelsCode0
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention—0
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