{"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/scoot-a-perceptual-metric-for-facial-sketches","title":"Scoot: A Perceptual Metric for Facial Sketches","arxiv_id":"1908.08433","date":"2019-08-21","proceeding":"ICCV 2019 10","authors":["Deng-Ping Fan","Shengchuan Zhang","Yu-Huan Wu","Yun Liu","Ming-Ming Cheng","Bo Ren","Paul L. Rosin","Rongrong Ji"],"abstract":"Human visual system has the strong ability to quick assess the perceptual similarity between two facial sketches. However, existing two widely-used facial sketch metrics, e.g., FSIM and SSIM fail to address this perceptual similarity in this field. Recent study in facial modeling area has verified that the inclusion of both structure and texture has a significant positive benefit for face sketch synthesis (FSS). But which statistics are more important, and are helpful for their success? In this paper, we design a perceptual metric,called Structure Co-Occurrence Texture (Scoot), which simultaneously considers the block-level spatial structure and co-occurrence texture statistics. To test the quality of metrics, we propose three novel meta-measures based on various reliable properties. Extensive experiments demonstrate that our Scoot metric exceeds the performance of prior work. Besides, we built the first large scale (152k judgments) human-perception-based sketch database that can evaluate how well a metric is consistent with human perception. Our results suggest that \"spatial structure\" and \"co-occurrence texture\" are two generally applicable perceptual features in face sketch synthesis.","url_abs":"https://arxiv.org/abs/1908.08433v2","url_pdf":"https://arxiv.org/pdf/1908.08433v2.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":"scoot-a-perceptual-metric-for-facial-sketches","repo_url":"https://github.com/DengPingFan/Scoot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"face-sketch-synthesis","task_name":"Face Sketch Synthesis"},{"task_slug":"ssim","task_name":"SSIM"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1908.08433","atlas_url":"https://app.syntology.ai/?focus=1908.08433","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}