{"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/fast-deep-matting-for-portrait-animation-on","title":"Fast Deep Matting for Portrait Animation on Mobile Phone","arxiv_id":"1707.08289","date":"2017-07-26","proceeding":null,"authors":["Bingke Zhu","Yingying Chen","Jinqiao Wang","Si Liu","Bo Zhang","Ming Tang"],"abstract":"Image matting plays an important role in image and video editing. However,\nthe formulation of image matting is inherently ill-posed. Traditional methods\nusually employ interaction to deal with the image matting problem with trimaps\nand strokes, and cannot run on the mobile phone in real-time. In this paper, we\npropose a real-time automatic deep matting approach for mobile devices. By\nleveraging the densely connected blocks and the dilated convolution, a light\nfull convolutional network is designed to predict a coarse binary mask for\nportrait images. And a feathering block, which is edge-preserving and matting\nadaptive, is further developed to learn the guided filter and transform the\nbinary mask into alpha matte. Finally, an automatic portrait animation system\nbased on fast deep matting is built on mobile devices, which does not need any\ninteraction and can realize real-time matting with 15 fps. The experiments show\nthat the proposed approach achieves comparable results with the\nstate-of-the-art matting solvers.","url_abs":"http://arxiv.org/abs/1707.08289v1","url_pdf":"http://arxiv.org/pdf/1707.08289v1.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":"fast-deep-matting-for-portrait-animation-on","repo_url":"https://github.com/huochaitiantang/pytorch-fast-matting-portrait","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"image-matting","task_name":"Image Matting"},{"task_slug":"portrait-animation","task_name":"Portrait Animation"},{"task_slug":"video-editing","task_name":"Video Editing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1707.08289","atlas_url":"https://app.syntology.ai/?focus=1707.08289","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}