Search Results for author:
Found 3 papers, 0 papers with code
Study of detecting behavioral signatures within DeepFake videos
Our results indicate that there could be a behavioral signature that is detectable from a person's movements that is separate from their visual appearance, and that this behavioral signature could be used to distinguish a deep fake from a properly captured video.
Learning Perspective Undistortion of Portraits
In contrast to the previous state-of-the-art approach, our method handles even portraits with extreme perspective distortion, as we avoid the inaccurate and error-prone step of first fitting a 3D face model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
