Abstract
A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually. An animated sketch opens another dimension to the expression of ideas and is widely used by designers for a variety of purposes. Animating sketches is a laborious process, requiring extensive experience and professional design skills. In this work, we present a method that automatically adds motion to a single-subject sketch (hence, 'breathing life into it'), merely by providing a text prompt indicating the desired motion. The output is a short animation provided in vector representation, which can be easily edited. Our method does not require extensive training, but instead leverages the motion prior of a large pretrained text-to- video diffusion model using a score-distillation loss to guide the placement of strokes. To promote natural and smooth motion and to better preserve the sketch's appearance, we model the learned motion through two components. The first governs small local deformations and the second controls global affine transformations. Surprisingly, wefind that even models that struggle to generate sketch videos on their own can still serve as a useful backbone for animating abstract representations.
Original language | English |
---|---|
Title of host publication | Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 |
Publisher | IEEE Computer Society |
Pages | 4325-4336 |
Number of pages | 12 |
ISBN (Electronic) | 9798350353006 |
DOIs | |
State | Published - 2024 |
Externally published | Yes |
Event | 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Seattle, United States Duration: 16 Jun 2024 → 22 Jun 2024 |
Publication series
Name | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
---|---|
ISSN (Print) | 1063-6919 |
Conference
Conference | 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 |
---|---|
Country/Territory | United States |
City | Seattle |
Period | 16/06/24 → 22/06/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Sketch animation
- diffusion score distillation
- text-to-video