Point clouds provide a compact and efficient representation of 3D shapes. While deep
neural networks have achieved impressive results on point cloud learning tasks, they …

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 …

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 …

We propose a novel neural architecture for representing 3D surfaces, which harnesses two
complementary shape representations:(i) an explicit representation via an atlas, ie …

Human pose information is a critical component in many downstream image processing
tasks, such as activity recognition and motion tracking. Likewise, a pose estimator for the …

Rigged puppets are one of the most prevalent representations to create 2D character
animations. Creating these puppets requires partitioning characters into independently …

We introduce CharacterGAN, a generative model that can be trained on only a few samples
(8-15) of a given character. Our model generates novel poses based on keypoint locations …

We propose a novel approach for generating unrestricted adversarial examples by
manipulating fine-grained aspects of image generation. Unlike existing unrestricted attacks …

摘要近年来随着图形硬件的快速发展, 渲染技术和深度学习技术都飞速发展,
可微渲染作为二者之间的桥梁受到了广泛关注. 随着许多可微渲染方法的提出 …

In conventional 2D drawing systems, a drawing usually consists of multiple layers and is
composited by rendering layers from back to front. A shape in a higher layer occludes …