Baluja, S.[Shumeet],
Learning typographic style: from discrimination to synthesis,
MVA(28), No. 5-6, August 2017, pp. 551-568.
WWW Link.
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.H.[Zhou-Hui],
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
Park, S.[Song],
Chun, S.[Sanghyuk],
Cha, J.[Junbum],
Lee, B.[Bado],
Shim, H.J.[Hyun-Jung],
Few-Shot Font Generation With Weakly Supervised Localized
Representations,
PAMI(46), No. 3, March 2024, pp. 1479-1495.
IEEE DOI Code:
WWW Link.
2402
Task analysis, Libraries, Feature extraction, Data models,
Visualization, Training, Skeleton, Few-shot font generation,
computer vision
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
Chen, X.[Xu],
Wu, L.[Lei],
Su, Y.L.[Yong-Liang],
Meng, L.[Lei],
Meng, X.X.[Xiang-Xu],
Font transformer for few-shot font generation,
CVIU(245), 2024, pp. 104043.
Elsevier DOI
2406
Font generation, Transformer, Few-shot learning, Image generation
BibRef
Zhao, M.[Minda],
Qi, X.Q.[Xing-Qun],
Hu, Z.P.[Zhi-Peng],
Li, L.[Lincheng],
Zhang, Y.Q.[Yong-Qiang],
Huang, Z.[Zi],
Yu, X.[Xin],
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,
image transformation
BibRef
Zhao, H.H.[Hui-Huang],
Ji, T.L.[Tian-Le],
Rosin, P.L.[Paul L.],
Lai, Y.K.[Yu-Kun],
Meng, W.L.[Wei-Liang],
Wang, Y.N.[Yao-Nan],
Cross-lingual font style transfer with full-domain convolutional
attention,
PR(155), 2024, pp. 110709.
Elsevier DOI Code:
WWW Link.
2408
Cross-lingual, Full-domain convolutional attention,
Multi-layer perceptual discriminator, Font style transfer
BibRef
He, X.[Xiao],
Zhu, M.[Mingrui],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Few-Shot Font Generation by Learning Style Difference and Similarity,
CirSysVideo(34), No. 9, September 2024, pp. 8013-8025.
IEEE DOI
2410
Task analysis, Self-supervised learning, Feature extraction, Dictionaries,
Codes, Training, Libraries, Image-to-image translation, few-shot learning
BibRef
He, H.B.[Hai-Bin],
Chen, X.Y.[Xin-Yuan],
Wang, C.Y.[Chao-Yue],
Liu, J.[Juhua],
Du, B.[Bo],
Tao, D.C.[Da-Cheng],
Yu, Q.[Qiao],
Diff-Font: Diffusion Model for Robust One-Shot Font Generation,
IJCV(132), No. 11, November 2024, pp. 5372-5386.
Springer DOI
2411
BibRef
Ma, J.[Jing],
Xiang, X.[Xiang],
He, Y.[Yan],
Masking Cascaded Self-attentions for Few-shot Font-generation
Transformer,
ACCV24(V: 256-272).
Springer DOI
2412
BibRef
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
BibRef
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
Liu, Y.T.[Ying-Tian],
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,
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
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Language Recognition, Multi-Language Documents .