Animating Still Images
This addresses the problem of creating animations from static images for users in digital media and entertainment, but it appears incremental as it combines existing techniques like segmentation and in-painting.
The paper tackles the problem of animating still 2D images by segmenting a subject, in-painting the background, and embedding the subject in a triangle mesh for animation, resulting in motion imparted to the image while preserving the rest of it.
We present a method for imparting motion to a still 2D image. Our method uses deep learning to segment a section of the image denoted as subject, then uses in-painting to complete the background, and finally adds animation to the subject by embedding the image in a triangle mesh, while preserving the rest of the image.