{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:27:39Z","timestamp":1774369659172,"version":"3.50.1"},"publisher-location":"Cham","reference-count":71,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031736674","type":"print"},{"value":"9783031736681","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-73668-1_6","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T02:02:16Z","timestamp":1733018536000},"page":"89-106","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Visual Text Generation in\u00a0the\u00a0Wild"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0900-1379","authenticated-orcid":false,"given":"Yuanzhi","family":"Zhu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6100-4000","authenticated-orcid":false,"given":"Jiawei","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3206-5347","authenticated-orcid":false,"given":"Feiyu","family":"Gao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4582-7488","authenticated-orcid":false,"given":"Wenyu","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6732-7823","authenticated-orcid":false,"given":"Xinggang","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8617-1550","authenticated-orcid":false,"given":"Peng","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3709-5053","authenticated-orcid":false,"given":"Fei","family":"Huang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6564-4796","authenticated-orcid":false,"given":"Cong","family":"Yao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2343-7750","authenticated-orcid":false,"given":"Zhibo","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,1]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Avrahami, O., Lischinski, D., Fried, O.: Blended diffusion for text-driven editing of natural images. In: CVPR, pp. 18187\u201318197 (2022)","DOI":"10.1109\/CVPR52688.2022.01767"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Baek, J., Matsui, Y., Aizawa, K.: What if we only use real datasets for scene text recognition? Toward scene text recognition with fewer labels. In: CVPR, pp. 3113\u20133122 (2021)","DOI":"10.1109\/CVPR46437.2021.00313"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Bhunia, A.K., Khan, S., Cholakkal, H., Anwer, R.M., Khan, F.S., Shah, M.: Handwriting transformers. In: ICCV, pp. 1086\u20131094 (2021)","DOI":"10.1109\/ICCV48922.2021.00112"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Brooks, T., Holynski, A., Efros, A.A.: Instructpix2pix: learning to follow image editing instructions. In: CVPR, pp. 18392\u201318402 (2023)","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Chen, J., Huang, Y., Lv, T., Cui, L., Chen, Q., Wei, F.: Textdiffuser-2: unleashing the power of language models for text rendering. arXiv preprint arXiv:2311.16465 (2023)","DOI":"10.1007\/978-3-031-72652-1_23"},{"key":"6_CR6","unstructured":"Chen, J., Huang, Y., Lv, T., Cui, L., Chen, Q., Wei, F.: Textdiffuser: diffusion models as text painters. In: NeurIPS (2023)"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Cheng, C., Wang, P., Da, C., Zheng, Q., Yao, C.: Lister: neighbor decoding for length-insensitive scene text recognition. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV) (2023)","DOI":"10.1109\/ICCV51070.2023.01790"},{"issue":"1","key":"6_CR8","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s10032-019-00334-z","volume":"23","author":"CK Ch\u2019ng","year":"2020","unstructured":"Ch\u2019ng, C.K., Chan, C.S., Liu, C.L.: Total-text: toward orientation robustness in scene text detection. Int. J. Doc. Anal. Recognit. (IJDAR) 23(1), 31\u201352 (2020)","journal-title":"Int. J. Doc. Anal. Recognit. (IJDAR)"},{"key":"6_CR9","unstructured":"Couairon, G., Verbeek, J., Schwenk, H., Cord, M.: Diffedit: diffusion-based semantic image editing with mask guidance. In: ICLR (2022)"},{"key":"6_CR10","unstructured":"Da, C., Wang, P., Yao, C.: Multi-granularity prediction with learnable fusion for scene text recognition. CoRR abs\/2307.13244 (2023)"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Fang, S., Xie, H., Wang, Y., Mao, Z., Zhang, Y.: Read like humans: autonomous, bidirectional and iterative language modeling for scene text recognition. In: CVPR, pp. 7098\u20137107 (2021)","DOI":"10.1109\/CVPR46437.2021.00702"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Fogel, S., Averbuch-Elor, H., Cohen, S., Mazor, S., Litman, R.: ScrabbleGAN: semi-supervised varying length handwritten text generation. In: CVPR, pp. 4323\u20134332 (2020)","DOI":"10.1109\/CVPR42600.2020.00438"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Gan, J., Wang, W.: Higan: handwriting imitation conditioned on arbitrary-length texts and disentangled styles. In: AAAI, pp. 7484\u20137492 (2021)","DOI":"10.1609\/aaai.v35i9.16917"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Gui, D., Chen, K., Ding, H., Huo, Q.: Zero-shot generation of training data with denoising diffusion probabilistic model for handwritten Chinese character recognition. In: ICDAR, vol. 14188, pp. 348\u2013365 (2023)","DOI":"10.1007\/978-3-031-41679-8_20"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Gupta, A., Vedaldi, A., Zisserman, A.: Synthetic data for text localisation in natural images. In: CVPR, pp. 2315\u20132324 (2016)","DOI":"10.1109\/CVPR.2016.254"},{"key":"6_CR16","unstructured":"Hu, E.J., et al.: Lora: low-rank adaptation of large language models. In: ICLR (2022)"},{"issue":"1","key":"6_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11263-015-0823-z","volume":"116","author":"M Jaderberg","year":"2016","unstructured":"Jaderberg, M., Simonyan, K., Vedaldi, A., Zisserman, A.: Reading text in the wild with convolutional neural networks. IJCV 116(1), 1\u201320 (2016)","journal-title":"IJCV"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Jiang, Z., et al.: Layoutformer++: conditional graphic layout generation via constraint serialization and decoding space restriction. In: CVPR, pp. 18403\u201318412 (2023)","DOI":"10.1109\/CVPR52729.2023.01765"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Jiang, Z., Sun, S., Zhu, J., Lou, J.G., Zhang, D.: Coarse-to-fine generative modeling for graphic layouts. In: AAAI, vol.\u00a036, pp. 1096\u20131103 (2022)","DOI":"10.1609\/aaai.v36i1.19994"},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Kang, L., Riba, P., Wang, Y., Rusi\u00f1ol, M., Forn\u00e9s, A., Villegas, M.: GANwriting: content-conditioned generation of styled handwritten word images. In: ECCV, pp. 273\u2013289 (2020)","DOI":"10.1007\/978-3-030-58592-1_17"},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Kang, L., Rusi\u00f1ol, M., Forn\u00e9s, A., Riba, P., Villegas, M.: Unsupervised writer adaptation for synthetic-to-real handwritten word recognition. In: WACV, pp. 3502\u20133511 (2020)","DOI":"10.1109\/WACV45572.2020.9093392"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et\u00a0al.: ICDAR 2015 competition on robust reading. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 1156\u20131160. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333942"},{"key":"6_CR23","doi-asserted-by":"crossref","unstructured":"Karatzas, D., Gomez-Bigorda, L., Nicolaou, A., Ghosh, S.K., Bagdanov, A.D., Iwamura, M.: ICDAR 2015 competition on robust reading. In: ICDAR, pp. 1156\u20131160 (2015)","DOI":"10.1109\/ICDAR.2015.7333942"},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Karatzas, D., Shafait, F., Uchida, S., Iwamura, M., i\u00a0Bigorda, L.G., Mestre, S.R.: ICDAR 2013 robust reading competition. In: ICDAR, pp. 1484\u20131493 (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"key":"6_CR25","doi-asserted-by":"crossref","unstructured":"Karatzas, D., et al.: ICDAR 2013 robust reading competition. In: 2013 12th International Conference on Document Analysis and Recognition, pp. 1484\u20131493. IEEE (2013)","DOI":"10.1109\/ICDAR.2013.221"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Kong, Y., et al.: Look closer to supervise better: one-shot font generation via component-based discriminator. In: CVPR, pp. 13472\u201313481 (2022)","DOI":"10.1109\/CVPR52688.2022.01312"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Lai, X., et al.: Lisa: reasoning segmentation via large language model. arXiv preprint arXiv:2308.00692 (2023)","DOI":"10.1109\/CVPR52733.2024.00915"},{"key":"6_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1007\/978-3-030-58580-8_29","volume-title":"Computer Vision \u2013 ECCV 2020","author":"H-Y Lee","year":"2020","unstructured":"Lee, H.-Y., et al.: Neural design network: graphic layout generation with constraints. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12348, pp. 491\u2013506. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58580-8_29"},{"key":"6_CR29","unstructured":"Li, J., Li, D., Savarese, S., Hoi, S.: Blip-2: bootstrapping language-image pre-training with frozen image encoders and large language models. In: ICML, vol.\u00a0202, pp. 19730\u201319742 (2023)"},{"issue":"1","key":"6_CR30","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1109\/TPAMI.2022.3155612","volume":"45","author":"M Liao","year":"2022","unstructured":"Liao, M., Zou, Z., Wan, Z., Yao, C., Bai, X.: Real-time scene text detection with differentiable binarization and adaptive scale fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45(1), 919\u2013931 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR31","doi-asserted-by":"crossref","unstructured":"Lin, X., et al.: Diffbir: towards blind image restoration with generative diffusion prior. arXiv preprint arXiv:2308.15070 (2023)","DOI":"10.1007\/978-3-031-73202-7_25"},{"key":"6_CR32","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/978-3-031-19815-1_24","volume-title":"European Conference on Computer Vision","author":"C Liu","year":"2022","unstructured":"Liu, C., et al.: Don\u2019t forget me: accurate background recovery for text removal via modeling local-global context. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13688, pp. 409\u2013426. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19815-1_24"},{"key":"6_CR33","doi-asserted-by":"publisher","first-page":"8760","DOI":"10.1109\/TIP.2020.3018859","volume":"29","author":"C Liu","year":"2020","unstructured":"Liu, C., Liu, Y., Jin, L., Zhang, S., Luo, C., Wang, Y.: Erasenet: end-to-end text removal in the wild. IEEE Trans. Image Process. 29, 8760\u20138775 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"6_CR34","doi-asserted-by":"crossref","unstructured":"Liu, H., Li, C., Li, Y., Lee, Y.J.: Improved baselines with visual instruction tuning. arXiv preprint arXiv:2310.03744 (2023)","DOI":"10.1109\/CVPR52733.2024.02484"},{"key":"6_CR35","unstructured":"Liu, H., Li, C., Wu, Q., Lee, Y.J.: Visual instruction tuning. In: NeurIPS (2023)"},{"key":"6_CR36","doi-asserted-by":"crossref","unstructured":"Liu, Y., Chen, H., Shen, C., He, T., Jin, L., Wang, L.: Abcnet: real-time scene text spotting with adaptive bezier-curve network. In: CVPR, pp. 9809\u20139818 (2020)","DOI":"10.1109\/CVPR42600.2020.00983"},{"key":"6_CR37","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s11263-020-01369-0","volume":"129","author":"S Long","year":"2018","unstructured":"Long, S., He, X., Yao, C.: Scene text detection and recognition: the deep learning era. Int. J. Comput. Vision 129, 161\u2013184 (2018)","journal-title":"Int. J. Comput. Vision"},{"key":"6_CR38","doi-asserted-by":"crossref","unstructured":"Long, S., Qin, S., Panteleev, D., Bissacco, A., Fujii, Y., Raptis, M.: ICDAR 2023 competition on hierarchical text detection and recognition. In: ICDAR, vol. 14188, pp. 483\u2013497 (2023)","DOI":"10.1007\/978-3-031-41679-8_28"},{"key":"6_CR39","unstructured":"Long, S., Yao, C.: Unrealtext: synthesizing realistic scene text images from the unreal world. In: CVPR, pp. 5488\u20135497 (2020)"},{"key":"6_CR40","unstructured":"Luhman, T., Luhman, E.: Diffusion models for handwriting generation. arXiv preprint arXiv:2011.06704 (2020)"},{"key":"6_CR41","unstructured":"Luo, C., Zhu, Y., Jin, L., Li, Z., Peng, D.: SLOGAN: handwriting style synthesis for arbitrary-length and out-of-vocabulary text. IEEE TNNLS 1\u201313 (2022)"},{"key":"6_CR42","doi-asserted-by":"crossref","unstructured":"Mishra, A., Alahari, K., Jawahar, C.V.: Scene text recognition using higher order language priors. In: BMVC, pp. 1\u201311 (2012)","DOI":"10.5244\/C.26.127"},{"key":"6_CR43","doi-asserted-by":"crossref","unstructured":"Nayef, N., et\u00a0al.: ICDAR2017 robust reading challenge on multi-lingual scene text detection and script identification-RRC-MLT. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol.\u00a01, pp. 1454\u20131459. IEEE (2017)","DOI":"10.1109\/ICDAR.2017.237"},{"key":"6_CR44","doi-asserted-by":"crossref","unstructured":"Nikolaidou, K., et al.: Wordstylist: styled verbatim handwritten text generation with latent diffusion models. In: ICDAR, vol. 14188, pp. 384\u2013401 (2023)","DOI":"10.1007\/978-3-031-41679-8_22"},{"key":"6_CR45","doi-asserted-by":"crossref","unstructured":"Phan, T.Q., Shivakumara, P., Tian, S., Tan, C.L.: Recognizing text with perspective distortion in natural scenes. In: ICCV, pp. 569\u2013576 (2013)","DOI":"10.1109\/ICCV.2013.76"},{"key":"6_CR46","unstructured":"Radford, A., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PMLR (2021)"},{"key":"6_CR47","unstructured":"Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with CLIP latents. arXiv preprint arXiv:2204.06125 (2022)"},{"issue":"18","key":"6_CR48","doi-asserted-by":"publisher","first-page":"8027","DOI":"10.1016\/j.eswa.2014.07.008","volume":"41","author":"A Risnumawan","year":"2014","unstructured":"Risnumawan, A., Shivakumara, P., Chan, C.S., Tan, C.L.: A robust arbitrary text detection system for natural scene images. Expert Syst. Appl. 41(18), 8027\u20138048 (2014)","journal-title":"Expert Syst. Appl."},{"key":"6_CR49","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: CVPR, pp. 10674\u201310685 (2022)","DOI":"10.1109\/CVPR52688.2022.01042"},{"issue":"11","key":"6_CR50","doi-asserted-by":"publisher","first-page":"2298","DOI":"10.1109\/TPAMI.2016.2646371","volume":"39","author":"B Shi","year":"2016","unstructured":"Shi, B., Bai, X., Yao, C.: An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. IEEE TPAMI 39(11), 2298\u20132304 (2016)","journal-title":"IEEE TPAMI"},{"key":"6_CR51","doi-asserted-by":"crossref","unstructured":"Shi, B., Wang, X., Lyu, P., Yao, C., Bai, X.: Robust scene text recognition with automatic rectification. In: CVPR, pp. 4168\u20134176 (2016)","DOI":"10.1109\/CVPR.2016.452"},{"key":"6_CR52","doi-asserted-by":"crossref","unstructured":"Singh, A., Pang, G., Toh, M., Huang, J., Galuba, W., Hassner, T.: Textocr: towards large-scale end-to-end reasoning for arbitrary-shaped scene text. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8802\u20138812 (2021)","DOI":"10.1109\/CVPR46437.2021.00869"},{"key":"6_CR53","doi-asserted-by":"crossref","unstructured":"Su, Z., et al.: Pixel difference networks for efficient edge detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5117\u20135127 (2021)","DOI":"10.1109\/ICCV48922.2021.00507"},{"key":"6_CR54","doi-asserted-by":"publisher","first-page":"5837","DOI":"10.1109\/TIP.2023.3326685","volume":"32","author":"Z Tang","year":"2023","unstructured":"Tang, Z., Miyazaki, T., Omachi, S.: A scene-text synthesis engine achieved through learning from decomposed real-world data. IEEE Trans. Image Process. 32, 5837\u20135851 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"6_CR55","unstructured":"Tuo, Y., Xiang, W., He, J.Y., Geng, Y., Xie, X.: Anytext: multilingual visual text generation and editing. In: ICLR (2024)"},{"key":"6_CR56","unstructured":"Veit, A., Matera, T., Neumann, L., Matas, J., Belongie, S.: Coco-text: dataset and benchmark for text detection and recognition in natural images. arXiv preprint arXiv:1601.07140 (2016)"},{"key":"6_CR57","unstructured":"Wang, K., Babenko, B., Belongie, S.J.: End-to-end scene text recognition. In: ICCV, pp. 1457\u20131464 (2011)"},{"key":"6_CR58","unstructured":"Wei, F., Zhang, X., Zhang, A., Zhang, B., Chu, X.: Lenna: language enhanced reasoning detection assistant. arXiv preprint arXiv:2312.02433 (2023)"},{"key":"6_CR59","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.110244","volume":"149","author":"M Yang","year":"2024","unstructured":"Yang, M., Yang, B., Liao, M., Zhu, Y., Bai, X.: Class-aware mask-guided feature refinement for scene text recognition. Pattern Recognit. 149, 110244 (2024)","journal-title":"Pattern Recognit."},{"key":"6_CR60","doi-asserted-by":"crossref","unstructured":"Yang, X., He, D., Zhou, Z., Kifer, D., Giles, C.L.: Learning to read irregular text with attention mechanisms. In: IJCAI, pp. 3280\u20133286 (2017)","DOI":"10.24963\/ijcai.2017\/458"},{"key":"6_CR61","unstructured":"Yang, Y., et al.: Glyphcontrol: glyph conditional control for visual text generation. In: Advances in Neural Information Processing Systems, vol. 36 (2024)"},{"key":"6_CR62","unstructured":"Yang, Z., et al.: The dawn of LMMs: preliminary explorations with GPT-4V (ision). arXiv preprint arXiv:2309.17421, vol. 9, no. 1, p. 1 (2023)"},{"key":"6_CR63","doi-asserted-by":"crossref","unstructured":"Yang, Z., Peng, D., Kong, Y., Zhang, Y., Yao, C., Jin, L.: Fontdiffuser: one-shot font generation via denoising diffusion with multi-scale content aggregation and style contrastive learning. In: AAAI (2024)","DOI":"10.1609\/aaai.v38i7.28482"},{"key":"6_CR64","unstructured":"Yao, C., Zhang, X., Bai, X., Liu, W., Ma, Y., Tu, Z.: Detecting texts of arbitrary orientations in natural images (2012)"},{"key":"6_CR65","unstructured":"Yao, S., et al.: React: synergizing reasoning and acting in language models. In: ICLR (2022)"},{"key":"6_CR66","unstructured":"Yuliang, L., Lianwen, J., Shuaitao, Z., Sheng, Z.: Detecting curve text in the wild: new dataset and new solution. arXiv preprint arXiv:1712.02170 (2017)"},{"key":"6_CR67","doi-asserted-by":"crossref","unstructured":"Zhan, F., Lu, S., Xue, C.: Verisimilar image synthesis for accurate detection and recognition of texts in scenes. In: ECCV, pp. 249\u2013266 (2018)","DOI":"10.1007\/978-3-030-01237-3_16"},{"key":"6_CR68","unstructured":"Zhang, Y., Gueguen, L., Zharkov, I., Zhang, P., Seifert, K., Kadlec, B.: Uber-text: a large-scale dataset for optical character recognition from street-level imagery. In: SUNw: Scene Understanding Workshop-CVPR, vol.\u00a02017, p.\u00a05 (2017)"},{"key":"6_CR69","doi-asserted-by":"crossref","unstructured":"Zhou, X., et al.: East: an efficient and accurate scene text detector. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5551\u20135560 (2017)","DOI":"10.1109\/CVPR.2017.283"},{"issue":"1","key":"6_CR70","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s11704-015-4488-0","volume":"10","author":"Y Zhu","year":"2016","unstructured":"Zhu, Y., Yao, C., Bai, X.: Scene text detection and recognition: recent advances and future trends. Front. Comp. Sci. 10(1), 19\u201336 (2016)","journal-title":"Front. Comp. Sci."},{"key":"6_CR71","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Li, Z., Wang, T., He, M., Yao, C.: Conditional text image generation with diffusion models. In: CVPR, pp. 14235\u201314244. IEEE (2023)","DOI":"10.1109\/CVPR52729.2023.01368"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73668-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T02:06:34Z","timestamp":1733018794000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73668-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,1]]},"ISBN":["9783031736674","9783031736681"],"references-count":71,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73668-1_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,1]]},"assertion":[{"value":"1 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}