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Photo Livening Application
 Bobola, Adrián ; Šalko, Milan (referee) ; Malinka, Kamil (advisor)
The goal of this work is to create a web application for animating static photographs. The application allows users to animate their portraits and group photos. Users can upload their own motion, which they want to use, and the application will use it to animate a selected part of the uploaded photo. The faces in the photos are automatically detected, while users have the option of manually marking faces in a given photo. The application supports recording custom motion from a video file or directly from a webcam. The server-side of the application is implemented in Python using the Django framework. The client-side of the application utilizes JavaScript and the React framework. Communication between the client and the server is facilitated via REST API. The thesis also provides an overview of existing tools of similar types, compares them, and discusses identified shortcomings. Additionally, the thesis explains the techniques and principles used to animate static photographs.
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