A Method for Animating Children's Drawings of the Human Figure
This work addresses the challenge of making animation accessible for amateur drawings, though it is incremental in applying existing techniques to a new domain.
The paper tackles the problem of automatically animating children's drawings of the human figure, resulting in a publicly available system used by millions and the creation of a novel dataset with over 178,000 annotated drawings.
Children's drawings have a wonderful inventiveness, creativity, and variety to them. We present a system that automatically animates children's drawings of the human figure, is robust to the variance inherent in these depictions, and is simple and straightforward enough for anyone to use. We demonstrate the value and broad appeal of our approach by building and releasing the Animated Drawings Demo, a freely available public website that has been used by millions of people around the world. We present a set of experiments exploring the amount of training data needed for fine-tuning, as well as a perceptual study demonstrating the appeal of a novel twisted perspective retargeting technique. Finally, we introduce the Amateur Drawings Dataset, a first-of-its-kind annotated dataset, collected via the public demo, containing over 178,000 amateur drawings and corresponding user-accepted character bounding boxes, segmentation masks, and joint location annotations.