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 ~180,000 amateur drawings and corresponding user-accepted character bounding box, segmentation mask, and joint location annotations.
翻译：儿童的画作充满了创造力、创新性和多样性。我们提出了一种系统，可以自动动画化儿童的人物图画，可以应对这些描述所固有的变化，而且简单易用，适合任何人使用。我们通过建立并发布了“Animated Drawings Demo”，证明了我们方法的价值和广泛吸引力，这是一个公开网站，已经被全球数百万人使用。我们展示了一组实验，探讨了微调所需的训练数据量，以及通过一种新颖的“扭曲视角”重定向技术来演示感知研究的吸引力。最后，我们介绍了一种“业余绘画数据集”，这是一个首创性的注释数据集，通过该公共演示获得，包含约18万幅业余画作以及相应的用户接受的角色边界框、分割掩模和关节位置的注释。
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