26.1.13.7.1 Text Generation, Text Synthesis, Text Placement on Maps

Chapter Contents (Back)
Text Generaton. Text Rendering. How the text appears. For the font iteslf:
See also Font Generation, Font Synthesis, Multiple Fonts.

MapText, Inc.,

WWW Link. Vendor, Map Labels. Software to accurately and correctly place labels on maps by analyzing the map. (I.e. city labels on the proper side of the river or coast line.) Herb Freeman is a founder.

Yamamoto, M.[Missae], Camara, G.[Gilberto], Lorena, L.A.N.[Luiz Antonio Nogueira],
TABU Search Heuristic for Point-Feature Cartographic Label Placement,
GeoInfo(6), No. 1, March 2002, pp. 77-90.
DOI Link 0202
BibRef

Freeman, H.[Herbert],
Automated cartographic text placement,
PRL(26), No. 3, February 2005, pp. 287-297.
Elsevier DOI 0501
BibRef

Fang, L., Au, O.C., Cheung, N.M.,
Subpixel Rendering: From Font Rendering to Image Subsampling,
SPMag(30), No. 3, 2012, pp. 177-189.
IEEE DOI 1304
[Applications Corner] BibRef

Rylov, M.A.[Maxim A.], Reimer, A.W.[Andreas W.],
Improving label placement quality by considering basemap detail with a raster-based approach,
GeoInfo(19), No. 3, July 2015, pp. 463-486.
WWW Link. 1505
Map generation. BibRef

Li, L.[Lin], Zhang, H.[Hang], Zhu, H.[Haihong], Kuai, X.[Xi], Hu, W.[Wei],
A Labeling Model Based on the Region of Movability for Point-Feature Label Placement,
IJGI(5), No. 9, 2016, pp. 159.
DOI Link 1610
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

Vanherle, B.[Bram], Pippi, V.[Vittorio], Cascianelli, S.[Silvia], Michiels, N.[Nick], van Reeth, F.[Frank], Cucchiara, R.[Rita],
VATr++: Choose Your Words Wisely for Handwritten Text Generation,
PAMI(47), No. 2, February 2025, pp. 934-948.
IEEE DOI 2501
Training, Protocols, Visualization, Vectors, Trajectory, Synthetic data, Predictive models, Generators, Decoding. BibRef

Zhang, Y.L.[Yao-Lin], Qin, Z.W.[Zhi-Wen], Ma, J.S.[Jing-Song], Zhang, Q.[Qian], Wang, X.L.[Xiao-Long],
Automatic Annotation of Map Point Features Based on Deep Learning ResNet Models,
IJGI(14), No. 2, 2025, pp. 88.
DOI Link 2502
cartographic label placement BibRef

Busto-Castiñeira, A.[Andrea], García-Méndez, S.[Silvia], de Arriba-Pérez, F.[Francisco], González-Castaño, F.J.[Francisco J.],
Optimal word order for non-causal text generation with Large Language Models: The Spanish case,
PRL(190), 2025, pp. 89-96.
Elsevier DOI 2503
Natural language generation, Non-causal language modeling, Viterbi algorithm, Spanish language, Transformer language models BibRef

Hsiung, L.S.[Li-Syun], Tu, J.K.[Jun-Kai], Chu, K.W.[Kuan-Wu], Chiu, Y.H.[Yu-Hsuan], Peng, Y.T.[Yan-Tsung], Chung, S.L.[Sheng-Luen], Hsu, G.S.J.[Gee-Sern Jison],
Syn3DTxt: Embedding 3D Cues for Scene Text Generation,
SyntaGen25(3149-3157)
IEEE DOI 2512
Training, Layout, Rendering (computer graphics), Visual effects, Motion pictures, Diffusion models, Standards, Synthetic data, Data augmentation. BibRef


Gao, Y.F.[Yi-Fan], Lin, Z.H.[Zi-Hang], Liu, C.B.[Chuan-Bin], Zhou, M.[Min], Ge, T.[Tiezheng], Zheng, B.[Bo], Xie, H.T.[Hong-Tao],
PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering,
CVPR25(8083-8093)
IEEE DOI 2508
Training, Visualization, Accuracy, Image synthesis, Computational modeling, Writing, Rendering (computer graphics), text rendering BibRef

Pippi, V.[Vittorio], Quattrini, F.[Fabio], Cascianelli, S.[Silvia], Tonioni, A.[Alessio], Cucchiara, R.[Rita],
Zero-Shot Styled Text Image Generation, but Make It Autoregressive,
CVPR25(7910-7919)
IEEE DOI 2508
Training, Text analysis, Image synthesis, Autoencoders, Image representation, Transformers, Synthetic data, autoregressive generative models BibRef

Wang, T.[Tong], Liu, T.[Ting], Qu, X.[Xiaochao], Wu, C.J.[Cheng-Jing], Liu, L.Q.[Luo-Qi], Hu, X.L.[Xiao-Lin],
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing,
CVPR25(28523-28532)
IEEE DOI 2508
Visualization, Fuses, Optical character recognition, Process control, Coherence, Feature extraction, Diffusion models, representation learning BibRef

Wang, Y.B.[Yi-Bin], Zhang, W.Z.[Wei-Zhong], Xu, H.H.[Hong-Hui], Jin, C.[Cheng],
DreamText: High Fidelity Scene Text Synthesis,
CVPR25(28555-28563)
IEEE DOI 2508
Training, Rendering (computer graphics), Distortion, Generators, Optimization, Image reconstruction, text generation, diffusion, image editing BibRef

Jiang, Z.H.[Zi-Han], Lin, C.W.[Chien-Wei], Li, W.H.[Wei-Hua], Liu, H.T.[Hsuan-Tung], Yeh, Y.R.[Yi-Ren], Chen, C.S.[Chu-Song],
Relation-Rich Visual Document Generator for Visual Information Extraction,
CVPR25(14449-14459)
IEEE DOI 2508
Training, Visualization, Text analysis, Computational modeling, Layout, Optical character recognition, Training data, visual information extraction BibRef

Zhu, Y.Z.[Yuan-Zhi], Liu, J.W.[Jia-Wei], Gao, F.Y.[Fei-Yu], Liu, W.Y.[Wen-Yu], Wang, X.G.[Xing-Gang], Wang, P.[Peng], Huang, F.[Fei], Yao, C.[Cong], Yang, Z.B.[Zhi-Bo],
Visual Text Generation in the Wild,
ECCV24(LIII: 89-106).
Springer DOI 2412
BibRef

Chen, J.Y.[Jing-Ye], Huang, Y.[Yupan], Lv, T.C.[Teng-Chao], Cui, L.[Lei], Chen, Q.F.[Qi-Feng], Wei, F.[Furu],
Textdiffuser-2: Unleashing the Power of Language Models for Text Rendering,
ECCV24(V: 386-402).
Springer DOI 2412
BibRef

Zhao, Y.M.[Yi-Ming], Lian, Z.H.[Zhou-Hui],
Udifftext: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models,
ECCV24(XXXI: 217-233).
Springer DOI 2412
BibRef

Liu, Z.[Zeyu], Liang, W.C.[Wei-Cong], Liang, Z.[Zhanhao], Luo, C.[Chong], Li, J.[Ji], Huang, G.[Gao], Yuan, Y.H.[Yu-Hui],
Glyph-BYT5: A Customized Text Encoder for Accurate Visual Text Rendering,
ECCV24(LXXV: 361-377).
Springer DOI 2412
BibRef

Nikolaidou, K.[Konstantina], Retsinas, G.[George], Sfikas, G.[Giorgos], Liwicki, M.[Marcus],
Diffusionpen: Towards Controlling the Style of Handwritten Text Generation,
ECCV24(LXXXV: 417-434).
Springer DOI 2412
BibRef

Shimoda, W.[Wataru], Haraguchi, D.[Daichi], Uchida, S.[Seiichi], Yamaguchi, K.[Kota],
Towards Diverse and Consistent Typography Generation,
WACV24(7281-7290)
IEEE DOI 2404
Graphics, Impedance matching, Color, Task analysis, Context modeling, Applications, Arts, games, social media BibRef

Tanveer, M.[Maham], Wang, Y.Z.[Yi-Zhi], Mahdavi-Amiri, A.[Ali], Zhang, H.[Hao],
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion,
ICCV23(374-384)
IEEE DOI Code:
WWW Link. 2401
BibRef

Mathews, A., Xie, L., He, X.,
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text,
CVPR18(8591-8600)
IEEE DOI 1812
Semantics, Generators, Training, Linguistics, Recurrent neural networks, Writing, Feature extraction BibRef

Slabaugh, G.G.[Gregory G.], Mihalef, V., Unal, G.,
A contour-based approach to 3D text labeling on triangulated surfaces,
3DIM05(416-423).
IEEE DOI 0508
BibRef

Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Social Media Processing .


Last update:Dec 17, 2025 at 15:38:33