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Facial Inpainting
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Facial inpainting (or face completion) is the task of generating plausible facial structures for missing pixels in a face image.
<span style="color:grey; opacity: 0.6">( Image credit: SymmFCNet )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation
Face Mask Removal with Region-attentive Face Inpainting
Masked Face Recognition with Generative-to-Discriminative Representations
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space
Face Swap via Diffusion Model
Learning Position-Aware Implicit Neural Network for Real-World Face Inpainting
Compensation Sampling for Improved Convergence in Diffusion Models
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention
E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting
Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
Reference Guided Image Inpainting using Facial Attributes
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions
Conffusion: Confidence Intervals for Diffusion Models
Contrastive Learning for Diverse Disentangled Foreground Generation
Masked Face Inpainting Through Residual Attention UNet
HiMFR: A Hybrid Masked Face Recognition Through Face Inpainting
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment
Non-Deterministic Face Mask Removal Based On 3D Priors
Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
Contrastive Attention Network with Dense Field Estimation for Face Completion
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion
Deep Face Video Inpainting via UV Mapping
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting
Pixel Sampling for Style Preserving Face Pose Editing
Extreme Face Inpainting with Sketch-Guided Conditional GAN
Foreground-guided Facial Inpainting with Fidelity Preservation
Learning Oracle Attention for High-fidelity Face Completion
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning
Image Fine-grained Inpainting
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting
LaFIn: Generative Landmark Guided Face Inpainting
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning
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