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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 1–50 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
E4S: Fine-grained Face Swapping via Editing With Regional GAN InversionCode1
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face InpaintingCode1
Reference-Guided Large-Scale Face Inpainting with Identity and Texture ControlCode1
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion—0
Reference Guided Image Inpainting using Facial AttributesCode1
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components DistributionsCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Contrastive Learning for Diverse Disentangled Foreground Generation—0
HiMFR: A Hybrid Masked Face Recognition Through Face InpaintingCode0
Masked Face Inpainting Through Residual Attention UNetCode1
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
Non-Deterministic Face Mask Removal Based On 3D PriorsCode1
Do Inpainting Yourself: Generative Facial Inpainting Guided by ExemplarsCode1
Contrastive Attention Network with Dense Field Estimation for Face Completion—0
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion—0
Deep Face Video Inpainting via UV Mapping—0
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting—0
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains—0
Pixel Sampling for Style Preserving Face Pose Editing—0
Extreme Face Inpainting with Sketch-Guided Conditional GAN—0
Foreground-guided Facial Inpainting with Fidelity Preservation—0
Learning Oracle Attention for High-fidelity Face Completion—0
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning—0
Image Fine-grained InpaintingCode1
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting—0
LaFIn: Generative Landmark Guided Face InpaintingCode0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
Towards Controllable and Interpretable Face Completion via Structure-Aware and Frequency-Oriented Attentive GANs—0
FSGAN: Subject Agnostic Face Swapping and ReenactmentCode0
Does Generative Face Completion Help Face Recognition?Code0
High Resolution and Fast Face Completion via Progressively Attentive GANs—0
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and ColorCode1
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition—0
Detecting Overfitting of Deep Generative Networks via Latent RecoveryCode0
Learning Symmetry Consistent Deep CNNs for Face CompletionCode0
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning—0
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs—0
Improved Techniques for GAN based Facial Inpainting—0
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