Toon3D: Seeing Cartoons from a New Perspective
Authors: name: Ethan Weber, name: Riley Peterlinz, name: Rohan Mathur, name: Frederik Warburg, name: Alexei A. Efros, name: Angjoo Kanazawa

In this work, we recover the underlying 3D structure of non-geometrically
consistent scenes. We focus our analysis on hand-drawn images from cartoons and
anime. Many cartoons are created by artists without a 3D rendering engine,
which means that any new image of a scene is hand-drawn. The hand-drawn images
are usually faithful representations of the world, but only in a qualitative
sense, since it is difficult for humans to draw multiple perspectives of an
object or scene 3D consistently. Nevertheless, people can easily perceive 3D
scenes from inconsistent inputs! In this work, we correct for 2D drawing
inconsistencies to recover a plausible 3D structure such that the newly warped
drawings are consistent with each other. Our pipeline consists of a
user-friendly annotation tool, camera pose estimation, and image deformation to
recover a dense structure. Our method warps images to obey a perspective camera
model, enabling our aligned results to be plugged into novel-view synthesis
reconstruction methods to experience cartoons from viewpoints never drawn
before. Our project page is https://toon3d.studio/.