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HiMFR: A Hybrid Masked Face Recognition Through Face Inpainting
The proposed HiMFR method is tested with four publicly available datasets: CelebA, SSDMNV2, MAFA, Pubfig83 and our collected Face5 dataset. -
Resolution-Robust Large Mask Inpainting
The dataset used in the paper for image inpainting tasks. -
SmartMask Dataset
A large-scale dataset consisting of fine-grain amodal segmentation masks for different objects in an input image. -
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
The dataset used in the paper for image inpainting using Denoising Diffusion Probabilistic Models (DDPM). -
Resolution-Robust Large Mask Inpainting with Fourier Convolutions
The dataset is used for evaluating the resolution-robust large mask inpainting algorithm. -
CleftLip10 and CleftLip24
Two real-world cleft lip datasets for testing the proposed image inpainting method -
Free-form Image Inpainting with Gated Convolution
Free-form image inpainting with gated convolution.
