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Feature extraction, Rendering (computer graphics),
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Font style transfer and content consistency.
Task analysis, Generative adversarial networks, Topology,
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Font generation, Style transfer, Transformers
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Task analysis, Libraries, Feature extraction, Data models,
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Chen, X.[Xu],
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2406
Font generation, Transformer, Few-shot learning, Image generation
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Hu, Z.P.[Zhi-Peng],
Li, L.[Lincheng],
Zhang, Y.Q.[Yong-Qiang],
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Calligraphy Font Generation via Explicitly Modeling Location-Aware
Glyph Component Deformations,
MultMed(26), 2024, pp. 5939-5950.
IEEE DOI
2404
Deformation, Task analysis, Feature extraction, Deformable models,
Decoding, Training, Standards, Generative adversarial networks,
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Zhao, H.H.[Hui-Huang],
Ji, T.L.[Tian-Le],
Rosin, P.L.[Paul L.],
Lai, Y.K.[Yu-Kun],
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Cross-lingual, Full-domain convolutional attention,
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CirSysVideo(34), No. 9, September 2024, pp. 8013-8025.
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2410
Task analysis, Self-supervised learning, Feature extraction, Dictionaries,
Codes, Training, Libraries, Image-to-image translation, few-shot learning
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He, H.B.[Hai-Bin],
Chen, X.Y.[Xin-Yuan],
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2411
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Zeng, J.S.[Jin-Shan],
Yuan, Y.Y.[Yi-Yang],
Wang, X.J.[Xi-Jia],
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Wang, Y.F.[Ye-Fei],
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2509
Few-shot font generation, Cross-lingual font generation,
Zero-shot learning, Contrastive learning, Relative position
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Chen, Y.X.[Ya-Xiong],
Rong, Y.[Yi],
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ArtGlyphDiffuser: Text-driven artistic glyph generation via
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2511
Artistic glyph generation, Cross-modal feature fusion,
Text-driven image generation, Multi-level control
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CVPR24(6892-6901)
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2410
Costs, Noise, Diffusion processes, Transforms, Manuals,
Diffusion models, Generative adversarial networks,
Probabilistic Generative Model
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Shin, S.H.[Seung-Hyun],
Jeon, H.G.[Hae-Gon],
Kinetic Typography Diffusion Model,
ECCV24(XXXIV: 166-185).
Springer DOI
2412
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Xiang, X.[Xiang],
He, Y.[Yan],
Masking Cascaded Self-attentions for Few-shot Font-generation
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ACCV24(V: 256-272).
Springer DOI
2412
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Mu, X.Z.[Xin-Zhi],
Chen, L.[Li],
Chen, B.[Bohan],
Gu, S.Y.[Shu-Yang],
Bao, J.M.[Jian-Min],
Chen, D.[Dong],
Li, J.[Ji],
Yuan, Y.H.[Yu-Hui],
Fontstudio: Shape-adaptive Diffusion Model for Coherent and Consistent
Font Effect Generation,
ECCV24(LVIII: 305-322).
Springer DOI
2412
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Fu, B.[Bin],
He, J.J.[Jun-Jun],
Wang, J.J.[Jian-Jun],
Qiao, Y.[Yu],
Neural Transformation Fields for Arbitrary-Styled Font Generation,
CVPR23(22438-22447)
IEEE DOI
2309
BibRef
Wang, C.[Chi],
Zhou, M.[Min],
Ge, T.[Tiezheng],
Jiang, Y.N.[Yu-Ning],
Bao, H.J.[Hu-Jun],
Xu, W.W.[Wei-Wei],
CF-Font: Content Fusion for Few-Shot Font Generation,
CVPR23(1858-1867)
IEEE DOI
2309
BibRef
Xia, Z.Q.[Ze-Qing],
Xiong, B.[Bojun],
Lian, Z.H.[Zhou-Hui],
VecFontSDF: Learning to Reconstruct and Synthesize High-Quality
Vector Fonts via Signed Distance Functions,
CVPR23(1848-1857)
IEEE DOI
2309
BibRef
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Zhang, Z.F.[Zhi-Fei],
Guo, Y.C.[Yuan-Chen],
Fisher, M.[Matthew],
Wang, Z.W.[Zhao-Wen],
Zhang, S.H.[Song-Hai],
DualVector: Unsupervised Vector Font Synthesis with Dual-Part
Representation,
CVPR23(14193-14202)
IEEE DOI
2309
BibRef
Wang, Y.Q.[Yu-Qing],
Wang, Y.Z.[Yi-Zhi],
Yu, L.H.[Long-Hui],
Zhu, Y.S.[Yue-Sheng],
Lian, Z.H.[Zhou-Hui],
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts
with Higher Quality,
CVPR23(18320-18328)
IEEE DOI
2309
BibRef
Matsuda, S.[Seiya],
Kimura, A.[Akisato],
Uchida, S.[Seiichi],
Font Generation with Missing Impression Labels,
ICPR22(1400-1406)
IEEE DOI
2212
Training, Image coding, Codes, Generative adversarial networks,
Data models
BibRef
Aoki, H.[Haruka],
Aizawa, K.[Kiyoharu],
SVG Vector Font Generation for Chinese Characters with Transformer,
ICIP22(646-650)
IEEE DOI
2211
Shape, Network architecture, Transformers,
Rendering (computer graphics), Vector font generation, Transformer
BibRef
Kong, Y.X.[Yu-Xin],
Luo, C.J.[Can-Jie],
Ma, W.H.[Wei-Hong],
Zhu, Q.Y.[Qi-Yuan],
Zhu, S.G.[Sheng-Gao],
Yuan, N.[Nicholas],
Jin, L.W.[Lian-Wen],
Look Closer to Supervise Better: One-Shot Font Generation via
Component-Based Discriminator,
CVPR22(13472-13481)
IEEE DOI
2210
Couplings, Generators, Adversarial machine learning,
Pattern recognition, Complexity theory, Low-level vision
BibRef
Tang, L.C.[Li-Cheng],
Cai, Y.Y.[Yi-Yang],
Liu, J.M.[Jia-Ming],
Hong, Z.B.[Zhi-Bin],
Gong, M.M.[Ming-Ming],
Fan, M.[Minhu],
Han, J.Y.[Jun-Yu],
Liu, J.[Jingtuo],
Ding, E.[Errui],
Wang, J.D.[Jing-Dong],
Few-Shot Font Generation by Learning Fine-Grained Local Styles,
CVPR22(7885-7894)
IEEE DOI
2210
Costs, Aggregates, Computational modeling, Pipelines, Libraries,
Data models, Image and video synthesis and generation,
Transfer/low-shot/long-tail learning
BibRef
Liu, W.[Wei],
Liu, F.[Fangyue],
Ding, F.[Fei],
He, Q.[Qian],
Yi, Z.L.[Zi-Li],
XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot
Font Generation,
CVPR22(7895-7904)
IEEE DOI
2210
Representation learning, Image resolution, Correlation,
Machine vision, Transformers, Libraries,
Vision applications and systems
BibRef
Xie, Y.C.[Yang-Chen],
Chen, X.Y.[Xin-Yuan],
Sun, L.[Li],
Lu, Y.[Yue],
DG-Font: Deformable Generative Networks for Unsupervised Font
Generation,
CVPR21(5126-5136)
IEEE DOI
2111
Deformable models, Convolution, Image color analysis, Computational modeling,
Writing
BibRef
Wen, C.[Chuan],
Pan, Y.J.[Yu-Jie],
Chang, J.[Jie],
Zhang, Y.[Ya],
Chen, S.H.[Si-Heng],
Wang, Y.F.[Yan-Feng],
Han, M.[Mei],
Tian, Q.[Qi],
Handwritten Chinese Font Generation with Collaborative Stroke
Refinement,
WACV21(3881-3890)
IEEE DOI
2106
Training, Adaptation models,
Computational modeling, Collaboration, Character generation
BibRef
Li, C.H.[Chen-Hao],
Taniguchi, Y.[Yuta],
Lu, M.[Min],
Konomi, S.[Shin'ichi],
Few-shot Font Style Transfer between Different Languages,
WACV21(433-442)
IEEE DOI
2106
Training, Computational modeling,
Libraries, Task analysis
BibRef
Park, S.[Song],
Chun, S.[Sanghyuk],
Cha, J.[Junbum],
Lee, B.[Bado],
Shim, H.J.[Hyun-Jung],
Multiple Heads are Better than One:
Few-shot Font Generation with Multiple Localized Experts,
ICCV21(13880-13889)
IEEE DOI
2203
Training, Head, Codes, Feature extraction, Image and video synthesis,
Neural generative models, Vision applications and systems
BibRef
Aoki, H.[Haruka],
Tsubota, K.[Koki],
Ikuta, H.[Hikaru],
Aizawa, K.[Kiyoharu],
Few-Shot Font Generation with Deep Metric Learning,
ICPR21(8539-8546)
IEEE DOI
2105
Measurement, Visualization, Image color analysis,
Feature extraction, Skeleton, Pattern recognition, Task analysis
BibRef
Saito, J.[Junki],
Nakamura, S.[Satoshi],
Fontender: Interactive Japanese Text Design with Dynamic Font Fusion
Method for Comics,
MMMod19(II:554-559).
Springer DOI
1901
BibRef
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Language Recognition, Multi-Language Documents .