1 |
范一华,邓德祥,颜佳.基于色彩空间的最大稳定极值区域的自然场景文本检测[J].计算机应用,2018,38(1):264-269,294. 10.11772/j.issn.1001-9081.2017061389
|
|
FAN Y H, DENG D X, YAN J. Natural scene text detection based on maximally stable extremal region in color space [J]. Journal of Computer Applications, 2018, 38(1): 264-269, 294. 10.11772/j.issn.1001-9081.2017061389
|
2 |
张矿,朱远平.基于超像素融合的文本分割[J].计算机应用,2016,36(12):3418-3422. 10.11772/j.issn.1001-9081.2016.12.3418
|
|
ZHANG K, ZHU Y P. Text segmentation based on superpixel fusion [J]. Journal of Computer Applications, 2016, 36(12): 3418-3422. 10.11772/j.issn.1001-9081.2016.12.3418
|
3 |
CAMPBELL N D F, KAUTZ J. Learning a manifold of fonts [J]. ACM Transactions on Graphics, 2014, 33(4): Article No.91. 10.1145/2601097.2601212
|
4 |
PHAN H Q, FU H, CHAN A B. FlexyFont: learning transferring rules for flexible typeface synthesis [J]. Computer Graphics Forum, 2015, 34(7): 245-256. 10.1111/cgf.12763
|
5 |
LIAO J, YAO Y, YUAN L, et al. Visual attribute transfer through deep image analogy [J]. ACM Transactions on Graphics, 2017, 36(4): Article No.120. 10.1145/3072959.3073683
|
6 |
GATYS L A, ECKER A S, BETHGE M. Image style transfer using convolutional neural networks [C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2016: 2414-2423. 10.1109/cvpr.2016.265
|
7 |
LYU P Y, BAI X, YAO C, et al. Auto-encoder guided GAN for Chinese calligraphy synthesis [C]// Proceedings of the 2017 14th IAPR International Conference on Document Analysis and Recognition. Piscataway: IEEE, 2017: 1095-1100. 10.1109/icdar.2017.181
|
8 |
SHAMIR A, RAPPOPORT A. Feature-based design of fonts using constraints [C]// Proceedings of the 1998 International Conference on Raster Imaging and Digital Typography, LNCS 1375. Berlin: Springer, 1998: 93-108.
|
9 |
SUVEERANONT R, IGARASHI T. Example-based automatic font generation [C]// Proceedings of the 2010 International Symposium on Smart Graphics, LNCS 6133. Berlin: Springer, 2010: 127-138.
|
10 |
TENENBAUM J B, FREEMAN W T. Separating style and content with bilinear models [J]. Neural Computation, 2000, 12(6): 1247-1283. 10.1162/089976600300015349
|
11 |
BALUJA S. Learning typographic style: from discrimination to synthesis [J]. Machine Vision and Applications, 2017, 28(5/6): 551-568. 10.1007/s00138-017-0842-6
|
12 |
BERNHARDSSON E. Analyzing 50k fonts using deep neural networks [EB/OL]. [2021-03-03]. .
|
13 |
AZADI S, FISHER M, KIM V, et al. Multi-content GAN for few-shot font style transfer [C]// Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2018: 7564-7573. 10.1109/cvpr.2018.00789
|
14 |
BUŠTA M, NEUMANN L, MATAS J. Deep TextSpotter: an end-to-end trainable scene text localization and recognition framework [C]// Proceedings of the 2017 IEEE International Conference on Computer Vision. Piscataway: IEEE, 2017: 2223-2231. 10.1109/iccv.2017.242
|
15 |
KEVIN K. Project Naptha [EB/OL]. [2021-03-03]. .
|
16 |
吴亮.基于GAN的文字编辑技术的研究[D].武汉:华中科技大学,2019:7-17.
|
|
WU L. Research on text editing technology based on GAN [D]. Wuhan: Huazhong University of Science and Technology, 2019: 7-17.
|
17 |
ROY P, BHATTACHARYA S, GHOSH S, et al. STEFANN: scene text editor using font adaptive neural network [C]// Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2020: 13225-13234. 10.1109/cvpr42600.2020.01324
|
18 |
EGMONT-PETERSEN M, DE RIDDER D, HANDELS H. Image processing with neural networks — a review [J]. Pattern recognition, 2002, 35(10): 2279-2301. 10.1016/s0031-3203(01)00178-9
|
19 |
GOODFELLOW I J, POUGET-ABADIE J, MIRZA M, et al. Generative adversarial nets [C]// Proceedings of the 2014 27th International Conference on Neural Information Processing Systems. Cambridge: MIT Press, 2014: 2672-2680.
|
20 |
DOSOVITSKIY A, SPRINGENBERG J T, TATARCHENKO M, et al. Learning to generate chairs, tables and cars with convolutional networks [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(4): 692-705.
|
21 |
CHEN H Z, TSAI S S, SCHROTH G, et al. Robust text detection in natural images with edge-enhanced maximally stable extremal regions [C]// Proceedings of the 2011 18th IEEE International Conference on Image Processing. Piscataway: IEEE, 2011: 2609-2612. 10.1109/icip.2011.6116200
|
22 |
CHENG M M, MITRA N J, HUANG X L, et al. Global contrast based salient region detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 569-582. 10.1109/tpami.2014.2345401
|
23 |
OTSU N. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66. 10.1109/tsmc.1979.4310076
|
24 |
KARATZAS D, SHAFAIT F, UCHIDA S, et al. ICDAR 2013 robust reading competition [C]// Proceedings of the 2013 12th International Conference on Document Analysis and Recognition. Piscataway: IEEE, 2013: 1484-1493. 10.1109/icdar.2013.221
|
25 |
Inc Google. Google fonts [EB/OL]. [2021-03-03]. .
|
26 |
KINGMA D P, BA J L. Adam: a method for stochastic optimization [EB/OL]. [2021-03-03]. .
|
27 |
WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural similarity [J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612. 10.1109/tip.2003.819861
|
28 |
SMITH R. An overview of the tesseract OCR engine [C]// Proceedings of the 2007 9th International Conference on Document Analysis and Recognition. Piscataway: IEEE, 2007: 629-633. 10.1109/icdar.2007.4376991
|