Year: 2022
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Authors: Batra, Kushagr, Kavidayal, Mridul
Institution: University of California San Diego
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4297900091