{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/photo-sketching-inferring-contour-drawings","title":"Photo-Sketching: Inferring Contour Drawings from Images","arxiv_id":"1901.00542","date":"2019-01-02","proceeding":null,"authors":["Mengtian Li","Zhe Lin","Radomir Mech","Ersin Yumer","Deva Ramanan"],"abstract":"Edges, boundaries and contours are important subjects of study in both\ncomputer graphics and computer vision. On one hand, they are the 2D elements\nthat convey 3D shapes, on the other hand, they are indicative of occlusion\nevents and thus separation of objects or semantic concepts. In this paper, we\naim to generate contour drawings, boundary-like drawings that capture the\noutline of the visual scene. Prior art often cast this problem as boundary\ndetection. However, the set of visual cues presented in the boundary detection\noutput are different from the ones in contour drawings, and also the artistic\nstyle is ignored. We address these issues by collecting a new dataset of\ncontour drawings and proposing a learning-based method that resolves diversity\nin the annotation and, unlike boundary detectors, can work with imperfect\nalignment of the annotation and the actual ground truth. Our method surpasses\nprevious methods quantitatively and qualitatively. Surprisingly, when our model\nfine-tunes on BSDS500, we achieve the state-of-the-art performance in salient\nboundary detection, suggesting contour drawing might be a scalable alternative\nto boundary annotation, which at the same time is easier and more interesting\nfor annotators to draw.","url_abs":"http://arxiv.org/abs/1901.00542v1","url_pdf":"http://arxiv.org/pdf/1901.00542v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"photo-sketching-inferring-contour-drawings","repo_url":"https://github.com/USTCzzl/Deecamp27","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"photo-sketching-inferring-contour-drawings","repo_url":"https://github.com/jjeamin/PhotoSketch_Pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"photo-sketching-inferring-contour-drawings","repo_url":"https://github.com/zzmshinnosuke/sketch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"boundary-detection","task_name":"Boundary Detection"},{"task_slug":"diversity","task_name":"Diversity"}],"methods":[],"datasets_introduced":[{"slug":"contour-drawing-dataset","name":"Contour Drawing Dataset","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1901.00542","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}