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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 26–50 of 60 papers

TitleStatusHype
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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