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MVA(28), No. 5-6, August 2017, pp. 551-568.
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1708
BibRef
Qin, M.X.[Meng-Xi],
Zhang, Z.[Ziying],
Zhou, X.X.[Xiao-Xue],
Disentangled representation learning GANs for generalized and stable
font fusion network,
IET-IPR(16), No. 2, 2022, pp. 393-406.
DOI Link
2201
Generation of fonts
BibRef
Liu, X.[Xiyan],
Meng, G.F.[Gao-Feng],
Chang, J.L.[Jian-Long],
Hu, R.G.[Rui-Guang],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
Decoupled Representation Learning for Character Glyph Synthesis,
MultMed(24), No. 2022, pp. 1787-1799.
IEEE DOI
2204
Font style transfer and content consistency.
Task analysis, Generative adversarial networks, Topology,
Standards, Decoding, Character glyph synthesis,
generative adversarial networks
BibRef
Muhammad, A.U.H.[Ammar Ul Hassan],
Lee, H.[Hyunsoo],
Choi, J.[Jaeyoung],
Exploiting mixing regularization for truly unsupervised font
synthesis,
PRL(169), 2023, pp. 35-42.
Elsevier DOI
2305
BibRef
Liu, Y.T.[Yi-Tian],
Lian, Z.[Zhouhui],
FontTransformer: Few-shot high-resolution Chinese glyph image
synthesis via stacked transformers,
PR(141), 2023, pp. 109593.
Elsevier DOI
2306
Font generation, Style transfer, Transformers
BibRef
Krishnan, P.[Praveen],
Kovvuri, R.[Rama],
Pang, G.[Guan],
Vassilev, B.[Boris],
Hassner, T.[Tal],
TextStyleBrush: Transfer of Text Aesthetics From a Single Example,
PAMI(45), No. 7, July 2023, pp. 9122-9134.
IEEE DOI
2306
Training, Generators, Text recognition, Standards, Image recognition,
Generative adversarial networks, Task analysis,
text generation
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.[Yiyang],
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,
Computer architecture, 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
Cha, J.[Junbum],
Chun, S.[Sanghyuk],
Lee, G.[Gayoung],
Lee, B.[Bado],
Kim, S.[Seonghyeon],
Lee, H.[Hwalsuk],
Few-shot Compositional Font Generation with Dual Memory,
ECCV20(XIX:735-751).
Springer DOI
2011
BibRef
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Language Recognition, Multi-Language Documents .