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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
Face Swap via Diffusion ModelCode2
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face InpaintingCode1
Do Inpainting Yourself: Generative Facial Inpainting Guided by ExemplarsCode1
ABANet: Attention boundary-aware network for image segmentationCode1
Masked Face Inpainting Through Residual Attention UNetCode1
Non-Deterministic Face Mask Removal Based On 3D PriorsCode1
E4S: Fine-grained Face Swapping via Editing With Regional GAN InversionCode1
Reference Guided Image Inpainting using Facial AttributesCode1
Reference-Guided Large-Scale Face Inpainting with Identity and Texture ControlCode1
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and ColorCode1
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components DistributionsCode1
Image Fine-grained InpaintingCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
LaFIn: Generative Landmark Guided Face InpaintingCode0
Face Mask Removal with Region-attentive Face InpaintingCode0
FSGAN: Subject Agnostic Face Swapping and ReenactmentCode0
Does Generative Face Completion Help Face Recognition?Code0
Learning Symmetry Consistent Deep CNNs for Face CompletionCode0
Compensation Sampling for Improved Convergence in Diffusion ModelsCode0
HiMFR: A Hybrid Masked Face Recognition Through Face InpaintingCode0
Generative Face CompletionCode0
Detecting Overfitting of Deep Generative Networks via Latent RecoveryCode0
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent SpaceCode0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
Learning Oracle Attention for High-fidelity Face Completion—0
Learning Position-Aware Implicit Neural Network for Real-World Face Inpainting—0
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation—0
Masked Face Recognition with Generative-to-Discriminative Representations—0
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs—0
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention—0
Pixel Sampling for Style Preserving Face Pose Editing—0
r-BTN: Cross-domain Face Composite and Synthesis from Limited Facial Patches—0
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks—0
Side Information for Face Completion: a Robust PCA Approach—0
Superimposition-guided Facial Reconstruction from Skull—0
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion—0
Towards Controllable and Interpretable Face Completion via Structure-Aware and Frequency-Oriented Attentive GANs—0
Binary Diffusion Probabilistic Model—0
Contrastive Attention Network with Dense Field Estimation for Face Completion—0
Contrastive Learning for Diverse Disentangled Foreground Generation—0
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition—0
Deep Face Video Inpainting via UV Mapping—0
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification—0
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion—0
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting—0
Extreme Face Inpainting with Sketch-Guided Conditional GAN—0
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning—0
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains—0
Foreground-guided Facial Inpainting with Fidelity Preservation—0
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
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