Image Style Transfering Based on StarGAN and Class Encoder Article Swipe
Xinzheng Xu
,
Jianying Chang
,
Shifei Ding
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21655/ijsi.1673-7288.00267
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21655/ijsi.1673-7288.00267
PDF HTML XML Export Cite reminder Image Style Transfering Based on StarGAN and Class Encoder DOI: 10.21655/ijsi.1673-7288.00267 Author: Affiliation: Clc Number: Fund Project: Article | Figures | Metrics | Reference | Related | Cited by | Materials | Comments Abstract:The image style transfer technology has been integrated into people's lives and is widely used in practical scenarios such as artistic images, photo to cartoon, image coloring, filter processing, and occlusion removal, which bears important research significance and application value. StarGAN is a generative adversarial network framework used in recent years for multi-domain image style transfer, which extracts features through simple down-sampling and then generates images through up-sampling. However, the background color information and detailed features of characters' faces in the generated images are greatly different from those in the input images. In this paper, the network structure of StarGAN is improved, and a UE-StarGAN model for image style transfer is proposed by introducing U-Net and edge-promoting adversarial loss function. At the same time, the class encoder is introduced into the generator of the UE-StarGAN model, and an image style transfer model fusing class encoder based on a small sample size is designed to realize the image style transfer with a small sample size. The experimental results reveal that the model can extract more detailed features and has some advantages in the case of a small sample size. The images obtained by applying the image style transfer based on the proposed model are improved in both qualitative and quantitative analyses, which verifies the effectiveness of the proposed model. Reference Related Cited by
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21655/ijsi.1673-7288.00267
- http://www.ijsi.org/ijsi/article/pdf/267
- OA Status
- bronze
- Cited By
- 2
- References
- 23
- Related Works
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- OpenAlex ID
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https://openalex.org/W4285248550Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21655/ijsi.1673-7288.00267Digital Object Identifier
- Title
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Image Style Transfering Based on StarGAN and Class EncoderWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
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Xinzheng Xu, Jianying Chang, Shifei DingList of authors in order
- Landing page
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https://doi.org/10.21655/ijsi.1673-7288.00267Publisher landing page
- PDF URL
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https://www.ijsi.org/ijsi/article/pdf/267Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
- OA URL
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https://www.ijsi.org/ijsi/article/pdf/267Direct OA link when available
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Computer science, Encoder, Image (mathematics), Class (philosophy), Sample (material), Artificial intelligence, Generator (circuit theory), Style (visual arts), Filter (signal processing), Computer vision, Archaeology, History, Chromatography, Physics, Chemistry, Operating system, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2024: 2Per-year citation counts (last 5 years)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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