25.4.2.3.1 Font Generation, Font Synthesis, Multiple Fonts

Chapter Contents (Back)
Font Generaton. Font Recognition. For more than just the font
See also Text Generation, Text Synthesis, Text Placement.

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


Park, S.[Seonmi], Bae, I.[Inhwan], Shin, S.H.[Seung-Hyun], Jeon, H.G.[Hae-Gon],
Kinetic Typography Diffusion Model,
ECCV24(XXXIV: 166-185).
Springer DOI 2412
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 .


Last update:Jan 20, 2025 at 11:36:25