Jan 10, 2020 · Face inpainting is a sub-task of image inpainting designed to repair broken or occluded incomplete portraits. Due to the high complexity of ...
On complex multi category dataset such as Imagenet, our network is significantly more capable of recovering semantic parts of the objects to be inpainted.
Face inpainting is a sub-task of image inpainting designed to repair broken or occluded incomplete portraits. Due to the high complexity of face image ...
In this manuscript, we focus on the generation purpose of GAN used in four areas: digital image processing, medical image processing, medical informatics, ...
In this work, we propose a high fidelity face swap- ping method, called HifiFace, which can well pre- serve the face shape of the source face and gen-.
May 17, 2024 · This paper presents a novel Deep Neural Network (DNN), multi-scale semantic prior Feature guided image inpainting Network (MFN) for inpainting street-view ...
Jun 22, 2022 · In this paper, we present a face inpainting system with iteration structure, guided by generative facial priors contained in pretrained GANs and predicted ...
Sep 12, 2024 · In this paper, we propose to decompose the typical single-stage object inpainting into two cascaded processes: 1) semantic pre-inpainting that infers the ...
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The encoder encodes the corrupted image and its mask into hierarchical contextual features, which are then fed into the decoder to predict the inpainted images ...
A semantic prior-driven fused contextual transformation network for image inpainting is proposed as a promise solution.