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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

Showing 2650 of 60 papers

TitleStatusHype
Learning Position-Aware Implicit Neural Network for Real-World Face Inpainting0
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation0
Masked Face Recognition with Generative-to-Discriminative Representations0
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs0
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention0
Pixel Sampling for Style Preserving Face Pose Editing0
r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches0
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks0
Side Information for Face Completion: a Robust PCA Approach0
Superimposition-guided Facial Reconstruction from Skull0
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion0
Towards Controllable and Interpretable Face Completion via Structure-Aware and Frequency-Oriented Attentive GANs0
Binary Diffusion Probabilistic Model0
Contrastive Attention Network with Dense Field Estimation for Face Completion0
Contrastive Learning for Diverse Disentangled Foreground Generation0
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition0
Deep Face Video Inpainting via UV Mapping0
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification0
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion0
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting0
Extreme Face Inpainting with Sketch-Guided Conditional GAN0
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning0
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains0
Foreground-guided Facial Inpainting with Fidelity Preservation0
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment0
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