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Rejuvenate: Face and Body Retouching Using Image Inpainting
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class="card-body"><strong>Paper Count:</strong> 87359</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Rejuvenate: Face and Body Retouching Using Image Inpainting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hossam%20Abdelrahman">Hossam Abdelrahman</a>, <a href="https://publications.waset.org/abstracts/search?q=Sama%20Rostom"> Sama Rostom</a>, <a href="https://publications.waset.org/abstracts/search?q=Reem%20Yassein"> Reem Yassein</a>, <a href="https://publications.waset.org/abstracts/search?q=Yara%20Mohamed"> Yara Mohamed</a>, <a href="https://publications.waset.org/abstracts/search?q=Salma%20Salah"> Salma Salah</a>, <a href="https://publications.waset.org/abstracts/search?q=Nour%20Awny"> Nour Awny</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In today鈥檚 environment, people are becoming increasingly interested in their appearance. However, they are afraid of their unknown appearance after a plastic surgery or treatment. Accidents, burns and genetic problems such as bowing of body parts of people have a negative impact on their mental health with their appearance and this makes them feel uncomfortable and underestimated. The approach presents a revolutionary deep learning-based image inpainting method that analyses the various picture structures and corrects damaged images. In this study, A model is proposed based on the in-painting of medical images with Stable Diffusion Inpainting method. Reconstructing missing and damaged sections of an image is known as image inpainting is a key progress facilitated by deep neural networks. The system uses the input of the user of an image to indicate a problem, the system will then modify the image and output the fixed image, facilitating for the patient to see the final result. <iframe src="https://publications.waset.org/abstracts/171208.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=generative%20adversarial%20network" title="generative adversarial network">generative adversarial network</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20mask%20inpainting" title=" large mask inpainting"> large mask inpainting</a>, <a href="https://publications.waset.org/abstracts/search?q=stable%20diffusion%20inpainting" title=" stable diffusion inpainting"> stable diffusion inpainting</a>, <a href="https://publications.waset.org/abstracts/search?q=plastic%20surgery" title=" plastic surgery"> plastic surgery</a> </p> <a 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