Image inpaintingMask removalFace attributesGANDue to the outbreak of the COVID-19 pandemic, wearing masks in public areas has become an effective way to slow the spread of disease. However, it also brings some challenges to applications in daily life as half of the face is occluded. Therefore...
Face mask detection using YOLOv3 on GoogleColab maskgoogle-colabyolov3facemaskcovid-19detect-mask UpdatedMay 6, 2020 Jupyter Notebook kaylode/facemask-removal Star34 Facemask Inpainting on Synthesis Portrait deep-learningpytorchgenerative-adversarial-networkganimage-inpaintingfacemask ...
Blind face inpainting is the task of automatically recovering an occluded face image without given masks indicating missing areas. Popular inpainting methods assume that the occlusion patterns are known with given occlusion masks. Previous blind inpainting methods, ignoring the structure in faces and ...
This poses challenges to applications such as face recognition. Therefore, the removal of masks via image inpainting has become a hot topic in the field of computer vision. Deep learning-based image inpainting techniques have taken observable results, but the restored images still hav...
In contrast, face inpainting is also problematic due to facial structure and texture complexity, which always results in structural confusion and texture blurring. We propose an attention embedded adversarial generative network (AE-GAN) in the paper to solve this problem. Overall our framework is a...
Virtually remove a face mask to see what a person looks like underneath pythonmachine-learningcomputer-visiondeep-learningautoencoderresnetunetconvolutional-neural-networkinpaintingface-masktensorflow2 UpdatedMay 15, 2021 Jupyter Notebook Face mask detection on Raspberry Pi 4 ...
Glasses remove, using a dynamic mask and interior spray painting for improving the performance of a face recognition system, by being arranged to increase the accuracy and efficiency of face recognition with a dynamic mask and interior spray painting removal glasses. The one side of one image is...
In particular, the ability to recover clear face images from occluded face images has found applications in various domains. One prominent approach in this context is the utilization of autoencoders within the framework of Generative Adversarial Networks (GAN), such as the Context Encoder (CE). ...