In plain words: A system trained on a new collection of hand-drawn contour sketches turns photos into outline drawings, tolerating differences in how people draw and slight misalignment. It beat earlier boundary-detection approaches, and when retrained to find object boundaries it set a new best result.
Abstract
Edges, boundaries and contours are important subjects of study in both computer graphics and computer vision. On one hand, they are the 2D elements that convey 3D shapes, on the other hand, they are indicative of occlusion events and thus separation of objects or semantic concepts. In this paper, we aim to generate contour drawings, boundary-like drawings that capture the outline of the visual scene. Prior art often cast this problem as boundary detection. However, the set of visual cues presented in the boundary detection output are different from the ones in contour drawings, and also the artistic style is ignored. We address these issues by collecting a new dataset of contour drawings and proposing a learning-based method that resolves diversity in the annotation and, unlike boundary detectors, can work with imperfect alignment of the annotation and the actual ground truth. Our method surpasses previous methods quantitatively and qualitatively. Surprisingly, when our model fine-tunes on BSDS500, we achieve the state-of-the-art performance in salient boundary detection, suggesting contour drawing might be a scalable alternative to boundary annotation, which at the same time is easier and more interesting for annotators to draw.
Mengtian Li, Zhe Lin, Radomir Mech, Ersin Yumer, Deva Ramanan
arXiv:1901.00542 · cs.CV · submitted Jan 2, 2019
abstract · pdf · html · WACV 2019. For code and dataset, see http://www.cs.cmu.edu/~mengtial/proj/sketch/
https://www.ri.cmu.edu/wp-content/uploads/2019/01/Li-Mengtia...
BTW, if the authors find these comments, they should definitely advertise the new game they create to collect more data (once it's released) to art-centered communities, particularly comics. Many people who do line art practice tracing frequently to improve their technique.