부산대학교 도서관

Digital Smile Design (DSD) is an advanced technique that enables dentists to create customized treatment plans for each patient by creating a digital representation of their desired smile. This approach promotes collaboration between dentists and patients to meet individual needs and goals. Special software like DSD allows dentists to plan treatments more precisely and achieve the patient’s desired outcome. Smile.AI is an application inspired by DSD, which utilizes machine learning, deep learning, and image processing to simulate a desired smile.Smile.AI helps patients participate in the smile creation process and allows for more predictable outcomes, improving patient acceptance of suggested treatment plans. Smile.AI also helps dentists to simplify the connection with their patients, educate them about the benefits of treatment, and trying to reduce patient reluctance. The first approach is based on image segmentation using a segmentation model. Unet++, MAnet, DeepLabv3+, FPN, while the second approach is based on ControlNet, ControlNet is a type of neural network architecture that controls diffusion models by introducing additional constraints. This innovation represents a major advance in the field of AI imaging as it allows excellent control over stable diffusion ControlNet is growing in popularity for several reasons. First, it produces high-quality output with better control compared to other methods like depth-to-image. Second, it is highly efficient and requires significantly less training time than traditional approaches. Finally, ControlNet prevents overfitting. Overall, Smile.AI is a revolutionary tool that can improve the quality of dental treatments and patient satisfaction.