UM
Non-linear convolution based controllable image analogies and self analogies
Gu Y.2; Wu E.2
2008-03-01
Source PublicationJisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
ISSN10039775
Volume20Issue:3Pages:332-336
AbstractThis paper presents a novel method of image analogies, to promote the learning from image style. By a definition of style as a non-linear convolution, the style of the image may be studied by kernel estimation, and style transfer could be conducted by executing the learned convolution. Furthermore, we may repeatedly apply a stylization process on an image to generate an analogized image series, in help to realize controllable image analogies. In addition, we can also extend this idea to self analogies, applied to enhance the sharpness of images.
KeywordControllable analogies Image analogies Non-linear convolution Style learning
URLView the original
Language英語
Fulltext Access
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Faculty of Science and Technology
2.Institute of Software Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Gu Y.,Wu E.. Non-linear convolution based controllable image analogies and self analogies[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2008,20(3):332-336.
APA Gu Y.,&Wu E..(2008).Non-linear convolution based controllable image analogies and self analogies.Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,20(3),332-336.
MLA Gu Y.,et al."Non-linear convolution based controllable image analogies and self analogies".Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 20.3(2008):332-336.
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