{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:50:26Z","timestamp":1778169026288,"version":"3.51.4"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012694","type":"print"},{"value":"9783030012700","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01270-0_13","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T18:07:51Z","timestamp":1538762871000},"page":"213-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":108,"title":["Image Generation from Sketch Constraint Using Contextual GAN"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1398-9965","authenticated-orcid":false,"given":"Yongyi","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1011-5963","authenticated-orcid":false,"given":"Shangzhe","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3148-0380","authenticated-orcid":false,"given":"Yu-Wing","family":"Tai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6495-3685","authenticated-orcid":false,"given":"Chi-Keung","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"key":"13_CR1","unstructured":"Create filter gallery photocopy effect with single step in photoshop. https:\/\/www.youtube.com\/watch?v=QNmniB_5Nz0"},{"key":"13_CR2","unstructured":"Amos, B., Ludwiczuk, B., Satyanarayanan, M.: Openface: a general-purpose face recognition library with mobile applications. Technical report, CMU-CS-16-118 (2016)"},{"issue":"2","key":"13_CR3","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1109\/34.574790","volume":"19","author":"A. Del Bimbo","year":"1997","unstructured":"Bimbo, A.D., Pala, P.: Visual image retrieval by elastic matching of user sketches. IEEE Trans. Pattern Anal. Mach. Intell. 19(2), 121\u2013132 (1997). https:\/\/doi.org\/10.1109\/34.574790","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"13_CR4","unstructured":"Bui, T., Ribeiro, L., Ponti, M., Collomosse, J.P.: Generalisation and sharing in triplet convnets for sketch based visual search. CoRR abs\/1611.05301 (2016). arXiv:1611.05301"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Cao, X., Zhang, H., Liu, S., Guo, X., Lin, L.: Sym-fish: a symmetry-aware flip invariant sketch histogram shape descriptor. In: IEEE ICCV, December 2013","DOI":"10.1109\/ICCV.2013.46"},{"key":"13_CR6","doi-asserted-by":"publisher","unstructured":"Cao, Y., Wang, C., Zhang, L., Zhang, L.: Edgel index for large-scale sketch-based image search. In: IEEE CVPR, pp. 761\u2013768 (2011). https:\/\/doi.org\/10.1109\/CVPR.2011.5995460","DOI":"10.1109\/CVPR.2011.5995460"},{"key":"13_CR7","doi-asserted-by":"publisher","unstructured":"Chopra, S., Hadsell, R., LeCun, Y.: Learning a similarity metric discriminatively, with application to face verification. In: CVPR, vol. 1, pp. 539\u2013546, June 2005. https:\/\/doi.org\/10.1109\/CVPR.2005.202","DOI":"10.1109\/CVPR.2005.202"},{"key":"13_CR8","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: NIPS, pp. 2672\u20132680 (2014). http:\/\/papers.nips.cc\/paper\/5423-generative-adversarial-nets.pdf"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Kang, H., Lee, S., Chui, C.K.: Coherent line drawing. In: ACM Symposium on Non-Photorealistic Animation and Rendering (NPAR), pp. 43\u201350, August 2007","DOI":"10.1145\/1274871.1274878"},{"key":"13_CR11","doi-asserted-by":"publisher","unstructured":"Kato, T., Kurita, T., Otsu, N., Hirata, K.: A sketch retrieval method for full color image database-query by visual example. In: ICPR, pp. 530\u2013533, August 1992. https:\/\/doi.org\/10.1109\/ICPR.1992.201616","DOI":"10.1109\/ICPR.1992.201616"},{"key":"13_CR12","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. CoRR abs\/1412.6980 (2014). arXiv:1412.6980"},{"key":"13_CR13","doi-asserted-by":"publisher","unstructured":"Krause, J., Stark, M., Deng, J., Fei-Fei, L.: 3d object representations for fine-grained categorization. In: 2013 IEEE International Conference on Computer Vision Workshops, pp. 554\u2013561, December 2013. https:\/\/doi.org\/10.1109\/ICCVW.2013.77","DOI":"10.1109\/ICCVW.2013.77"},{"issue":"6","key":"13_CR14","doi-asserted-by":"publisher","first-page":"234:1","DOI":"10.1145\/2816795.2818071","volume":"34","author":"Y Li","year":"2015","unstructured":"Li, Y., Su, H., Qi, C.R., Fish, N., Cohen-Or, D., Guibas, L.J.: Joint embeddings of shapes and images via cnn image purification. ACM TOG 34(6), 234:1\u2013234:12 (2015). https:\/\/doi.org\/10.1145\/2816795.2818071","journal-title":"ACM TOG"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. In: The IEEE International Conference on Computer Vision (ICCV), December 2015","DOI":"10.1109\/ICCV.2015.425"},{"key":"13_CR16","unstructured":"Oord, A.v.d., Kalchbrenner, N., Vinyals, O., Espeholt, L., Graves, A., Kavukcuoglu, K.: Conditional image generation with pixelcnn decoders. In: Proceedings of the 30th International Conference on Neural Information Processing Systems, pp. 4797\u20134805. Curran Associates Inc. (2016)"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Pathak, D., Kr\u00e4henb\u00fchl, P., Donahue, J., Darrell, T., Efros, A.: Context encoders: Feature learning by inpainting. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.278"},{"key":"13_CR18","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. CoRR abs\/1511.06434 (2015)"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Saavedra, J.M., Barrios, J.M.: Sketch based image retrieval using learned keyshapes (lks). In: BMVC, pp. 164.1\u2013164.11. BMVA Press, September 2015","DOI":"10.5244\/C.29.164"},{"key":"13_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2897824.2925954","volume":"35","author":"P Sangkloy","year":"2016","unstructured":"Sangkloy, P., Burnell, N., Ham, C., Hays, J.: The sketchy database: learning to retrieve badly drawn bunnies. ACM TOG 35, 1\u201312 (2016)","journal-title":"ACM TOG"},{"issue":"4","key":"13_CR21","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1016\/S0031-3203(96)00108-2","volume":"30","author":"S Sclaroff","year":"1997","unstructured":"Sclaroff, S.: Deformable prototypes for encoding shape categories in image databases. PR 30(4), 627\u2013641 (1997). https:\/\/doi.org\/10.1016\/S0031-3203(96)00108-2","journal-title":"PR"},{"issue":"6","key":"13_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2070781.2024188","volume":"30","author":"A Shrivastava","year":"2011","unstructured":"Shrivastava, A., Malisiewicz, T., Gupta, A., Efros, A.A.: Data-driven visual similarity for cross-domain image matching. ACM TOG 30(6), 1 (2011)","journal-title":"ACM TOG"},{"issue":"4","key":"13_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2897824.2925972","volume":"35","author":"E Simo-Serra","year":"2016","unstructured":"Simo-Serra, E., Iizuka, S., Sasaki, K., Ishikawa, H.: Learning to simplify: fully convolutional networks for rough sketch cleanup. ACM TOG 35(4), 1\u201311 (2016)","journal-title":"ACM TOG"},{"key":"13_CR24","unstructured":"Wah, C., Branson, S., Welinder, P., Perona, P., Belongie, S.: The Caltech-UCSD birds-200-2011 dataset. Technical report, CNS-TR-2011-001, California Institute of Technology (2011)"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Wang, F., Kang, L., Li, Y.: Sketch-based 3d shape retrieval using convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1875\u20131883 (2015)","DOI":"10.1109\/CVPR.2015.7298797"},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"Wang, J., et al.: Learning fine-grained image similarity with deep ranking. In: CVPR, pp. 1386\u20131393 (2014)","DOI":"10.1109\/CVPR.2014.180"},{"key":"13_CR27","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1007\/978-3-319-46493-0_20","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Xiaolong Wang","year":"2016","unstructured":"Wang, X., Gupta, A.: Generative image modeling using style and structure adversarial networks. In: ECCV (2016)"},{"issue":"4","key":"13_CR28","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. Ieee Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"Ieee Trans. Image Process."},{"issue":"6","key":"13_CR29","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1016\/j.cag.2012.03.004","volume":"36","author":"Holger Winnem\u00f6ller","year":"2012","unstructured":"Winnemller, H., Kyprianidis, J.E., Olsen, S.C.: Xdog: an extended difference-of-gaussians compendium including advanced image stylization. Comput. Graph. 36(6), 740\u2013753 (2012). https:\/\/doi.org\/10.1016\/j.cag.2012.03.004. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S009784931200043X","journal-title":"Computers & Graphics"},{"key":"13_CR30","unstructured":"Wu, X., He, R., Sun, Z., Tan, T.: A light cnn for deep face representation with noisy labels. arXiv preprint arXiv:1511.02683 (2015)"},{"issue":"6","key":"13_CR31","first-page":"1","volume":"31","author":"Li Xu","year":"2012","unstructured":"Xu, L., Yan, Q., Xia, Y., Jia, J.: Structure extraction from texture via natural variation measure. ACM TOG 31 (2012)","journal-title":"ACM Transactions on Graphics"},{"key":"13_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1007\/978-3-319-46493-0_47","volume-title":"Computer Vision \u2013 ECCV 2016","author":"X Yan","year":"2016","unstructured":"Yan, X., Yang, J., Sohn, K., Lee, H.: Attribute2Image: conditional image generation from visual attributes. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 776\u2013791. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_47"},{"key":"13_CR33","doi-asserted-by":"crossref","unstructured":"Yeh, R.A., Chen, C., Lim, T.Y., Schwing, A.G., Hasegawa-Johnson, M., Do, M.N.: Semantic image inpainting with deep generative models. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.728"},{"key":"13_CR34","doi-asserted-by":"crossref","unstructured":"Yu, Q., Liu, F., SonG, Y.Z., Xiang, T., Hospedales, T., Loy, C.C.: Sketch me that shoe. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.93"},{"key":"13_CR35","doi-asserted-by":"crossref","unstructured":"Zhang, H., Xu, T., Li, H., Zhang, S., Huang, X., Wang, X., Metaxas, D.: Stackgan: text to photo-realistic image synthesis with stacked generative adversarial networks. In: IEEE International Conference on Computer Vision (ICCV), pp. 5907\u20135915 (2017)","DOI":"10.1109\/ICCV.2017.629"},{"key":"13_CR36","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/978-3-319-46454-1_36","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J-Y Zhu","year":"2016","unstructured":"Zhu, J.-Y., Kr\u00e4henb\u00fchl, P., Shechtman, E., Efros, A.A.: Generative visual manipulation on the natural image manifold. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 597\u2013613. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_36"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01270-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T18:38:48Z","timestamp":1775241528000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01270-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012694","9783030012700"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01270-0_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 October 2018","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":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}