Recovery-Based Occluded Face Recognition by Identity-Guided Inpainting [PDF]
SensorsOcclusion in facial photos poses a significant challenge for machine detection and recognition. Consequently, occluded face recognition for camera-captured images has emerged as a prominent and widely discussed topic in computer vision.
Honglei Li +4 more
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PigFRIS: A Three-Stage Pipeline for Fence Occlusion Segmentation, GAN-Based Pig Face Inpainting, and Efficient Pig Face Recognition [PDF]
AnimalsAccurate animal face recognition is essential for effective health monitoring, behavior analysis, and productivity management in smart farming. However, environmental obstructions and animal behaviors complicate identification tasks.
Ruihan Ma +3 more
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Conditional-GAN-Based Face Inpainting Approaches With Symmetry and View-Degree Utilization
IEEE AccessRecently, image inpainting has been proposed as a solution for restoring the polluted image in the field of computer vision. Further, face inpainting is a subfield of image inpainting, which refers to a set of image editing algorithms re-conducting the ...
Tzung-Pei Hong +3 more
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GANMasker: A Two-Stage Generative Adversarial Network for High-Quality Face Mask Removal [PDF]
Sensors, 2023 Deep-learning-based image inpainting methods have made remarkable advancements, particularly in object removal tasks. The removal of face masks has gained significant attention, especially in the wake of the COVID-19 pandemic, and while numerous methods ...
Mohamed Mahmoud, Hyun-Soo Kang
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LiGaussOcc: Fully Self-Supervised 3D Semantic Occupancy Prediction from LiDAR via Gaussian Splatting [PDF]
SensorsAccurate 3D semantic occupancy perception is critical for autonomous driving, enabling robust navigation in unstructured environments. While vision-based methods suffer from depth inaccuracies and lighting sensitivity, LiDAR-based approaches face ...
Zhiqiang Wei, Tao Huang, Fengdeng Zhang
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Face Image Inpainting with Generative Adversarial Network [PDF]
Jisuanji kexue, 2021 Face image inpainting is a hot topic of image processing research in recent years.Due to the loss of excessive sematic information,it is a difficult problem to inpaint large area missing of face images.Aiming at the problem of inpainting face images,a ...
LIN Zhen-xian, ZHANG Meng-kai, WU Cheng-mao, ZHENG Xing-ning
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Face Inpainting Algorithm Combining Edge Information with Gated Convolution
Jisuanji kexue yu tansuo, 2021 For the face inpainting under arbitrary shape occlusion, the existing methods are easy to produce edge blur and distortion of the inpainting results. In this paper, an algorithm for face inpainting combining edge information with gated convolution is ...
WANG Fuping, LI Wenlou, LIU Ying, LU Jin, GONG Yanchao
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MASK FACE INPAINTING BASED ON IMPROVED GENERATIVE ADVERSARIAL NETWORK
Applied Computer Science, 2023 Face recognition technology has been widely used in all aspects of people's lives. However, the accuracy of face recognition is greatly reduced due to the obscuring of objects, such as masks and sunglasses.
Qingyu LIU, Roben A. JUANATAS
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Review of New Face Occlusion Inpainting Technology Research
Jisuanji kexue yu tansuo, 2021 In criminal investigation, if the face image of a suspect is occluded and the face feature points are corrupted, the precise removal of the occluded area becomes an important step in improving face recognition technology.
LIU Ying, ZHANG Yixuan, SHE Jianchu, WANG Fuping, LIM Kengpang
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Guidance Information Assisted Reconstruction of Masked Faces
IEEE Access, 2023 The application of deep learning to face inpainting has led to the development of a variety of methods. Guidance information, including edges, landmarks, segmentation maps, and sketches, has been increasingly incorporated alongside input images to ...
Dojin Kim, Unsang Park
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