Contour drawing examples5/25/2023 ![]() ![]() ![]() He also filled sketchbooks with freehand drawings, mostly done in ballpoint pen, of friends and still lifes. In the 1950s, Warhol’s blotted line drawing technique defined his signature style for his commercial work. At Carnegie Institute for Technology (now Carnegie Mellon University, which Warhol graduated from with a degree in pictorial design), Warhol’s offbeat, nontraditional drawing style did not meet all his professors’ academic standards, and he was forced to do extra work in this area over summer break. ![]() As a child he took art classes at the Carnegie Museum of Art and later won awards for drawings he had made in high school. Drawing was a constant part of his artistic practice. That means you can use this dataset for non-commerical purposes and your adapted work should be shared under similar conditions.Although Warhol is best known for his silkscreen prints, he was also an excellent draughtsman. License: the dataset is licensed under CC BY-NC-SA (Attribution-NonCommercial-ShareAlike). Therefore, in addition to the 5,000 drawings accepted, we have 1,947 rejected submissions, which can be used in setting up an automatic quality guard. The quality control is realized through manual inspection by treating annotations of the following types as rejection candidates: (1) missing inner boundary, (2) missing important objects, (3) with large misalignment with original edges, (4) the content not recognizable, (5) drawing humans with stick figures, (6) shaded on empty areas. In order to obtain high-quality annotations, we design a labeling interface with a detailed instruction page including many positive and negative examples. The Turkers are asked to trace over a fainted background image. The dataset is collected with Amazon Mechanical Turk. The drawings have strokes roughly aligned for image boundaries, making it easier to correspond human strokes with image edges. In this dataset, there are 1,000 outdoor images and each is paired with 5 human drawings (5,000 drawings in total). We present a new dataset of paired images and contour drawings for the study of visual understanding and sketch generation. 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. Our method surpasses previous methods quantitatively and qualitatively. 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. 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. Prior art often cast this problem as boundary detection. In this paper, we aim to generate contour drawings, boundary-like drawings that capture the outline of the visual scene. 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. Edges, boundaries and contours are important subjects of study in both computer graphics and computer vision.
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