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- Publisher Website: 10.1109/WACV.2018.00059
- Scopus: eid_2-s2.0-85051119267
- WOS: WOS:000434349200053
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Conference Paper: Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
Title | Face Sketch Synthesis with Style Transfer using Pyramid Column Feature |
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Authors | |
Issue Date | 2018 |
Publisher | IEEE. The Proceedings' web site is located at ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000040 |
Citation | IEEE 18th Winter Conference on Applications of Computer Vision (WACV 2018), Lake Tahoe, NV, 12-15 March 2018. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), p. 485-493 How to Cite? |
Abstract | In this paper, we propose a novel framework based on deep neural networks for face sketch synthesis from a photo. Imitating the process of how artists draw sketches, our framework synthesizes face sketches in a cascaded manner. A content image is first generated that outlines the shape of the face and the key facial features. Textures and shadings are then added to enrich the details of the sketch. We utilize a fully convolutional neural network (FCNN) to create the content image, and propose a style transfer approach to introduce textures and shadings based on a newly proposed pyramid column feature. We demonstrate that our style transfer approach based on the pyramid column feature can not only preserve more sketch details than the common style transfer method, but also surpasses traditional patch based methods. Quantitative and qualitative evaluations suggest that our framework outperforms other state-of-the-arts methods, and can also generalize well to different test images. |
Description | 1C Action / Pose / Biometric - paper no. 30 |
Persistent Identifier | http://hdl.handle.net/10722/250510 |
ISBN | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, C | - |
dc.contributor.author | Tax, X | - |
dc.contributor.author | Wong, KKY | - |
dc.date.accessioned | 2018-01-18T04:28:10Z | - |
dc.date.available | 2018-01-18T04:28:10Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE 18th Winter Conference on Applications of Computer Vision (WACV 2018), Lake Tahoe, NV, 12-15 March 2018. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), p. 485-493 | - |
dc.identifier.isbn | 978-1-5386-4886-5 | - |
dc.identifier.uri | http://hdl.handle.net/10722/250510 | - |
dc.description | 1C Action / Pose / Biometric - paper no. 30 | - |
dc.description.abstract | In this paper, we propose a novel framework based on deep neural networks for face sketch synthesis from a photo. Imitating the process of how artists draw sketches, our framework synthesizes face sketches in a cascaded manner. A content image is first generated that outlines the shape of the face and the key facial features. Textures and shadings are then added to enrich the details of the sketch. We utilize a fully convolutional neural network (FCNN) to create the content image, and propose a style transfer approach to introduce textures and shadings based on a newly proposed pyramid column feature. We demonstrate that our style transfer approach based on the pyramid column feature can not only preserve more sketch details than the common style transfer method, but also surpasses traditional patch based methods. Quantitative and qualitative evaluations suggest that our framework outperforms other state-of-the-arts methods, and can also generalize well to different test images. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Proceedings' web site is located at ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000040 | - |
dc.relation.ispartof | IEEE Winter Conference on Applications of Computer Vision | - |
dc.rights | IEEE Winter Conference on Applications of Computer Vision. Copyright © IEEE. | - |
dc.rights | ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.title | Face Sketch Synthesis with Style Transfer using Pyramid Column Feature | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wong, KKY: kykwong@cs.hku.hk | - |
dc.identifier.authority | Wong, KKY=rp01393 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1109/WACV.2018.00059 | - |
dc.identifier.scopus | eid_2-s2.0-85051119267 | - |
dc.identifier.hkuros | 284068 | - |
dc.identifier.spage | 485 | - |
dc.identifier.epage | 493 | - |
dc.identifier.isi | WOS:000434349200053 | - |
dc.publisher.place | United States | - |