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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
Conffusion: Confidence Intervals for Diffusion ModelsCode1
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face InpaintingCode1
Non-Deterministic Face Mask Removal Based On 3D PriorsCode1
Do Inpainting Yourself: Generative Facial Inpainting Guided by ExemplarsCode1
Masked Face Inpainting Through Residual Attention UNetCode1
Reference-Guided Large-Scale Face Inpainting with Identity and Texture ControlCode1
ABANet: Attention boundary-aware network for image segmentationCode1
Image Fine-grained InpaintingCode1
Reference Guided Image Inpainting using Facial AttributesCode1
E4S: Fine-grained Face Swapping via Editing With Regional GAN InversionCode1
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
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting—0
Geometry-Aware Face Completion and Editing—0
High Resolution and Fast Face Completion via Progressively Attentive GANs—0
High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks—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
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
Identity Preserving Face Completion for Large Ocular Region Occlusion—0
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
Improved Techniques for GAN based Facial Inpainting—0
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning—0
Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions—0
Learning Oracle Attention for High-fidelity Face Completion—0
HiMFR: A Hybrid Masked Face Recognition Through Face InpaintingCode0
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