{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:49:39Z","timestamp":1743043779808,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031090363"},{"type":"electronic","value":"9783031090370"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-09037-0_2","type":"book-chapter","created":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T04:26:16Z","timestamp":1654057576000},"page":"15-24","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Structure-Aware Photorealistic Style Transfer Using Ghost Bottlenecks"],"prefix":"10.1007","author":[{"given":"Nhat-Tan","family":"Bui","sequence":"first","affiliation":[]},{"given":"Ngoc-Thao","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Xuan-Nam","family":"Cao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,2]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M.: Image style transfer using convolutional neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)","key":"2_CR1","DOI":"10.1109\/CVPR.2016.265"},{"unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: International Conference on Learning Representations (2015)","key":"2_CR2"},{"doi-asserted-by":"crossref","unstructured":"Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., Xu, C.: GhostNet: more features from cheap operations. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","key":"2_CR3","DOI":"10.1109\/CVPR42600.2020.00165"},{"doi-asserted-by":"crossref","unstructured":"Chollet, F.: Xception: deep learning with depthwise separable convolutions. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","key":"2_CR4","DOI":"10.1109\/CVPR.2017.195"},{"doi-asserted-by":"crossref","unstructured":"Heeger, D.J., Bergen, J.R.: Pyramid-based texture analysis\/synthesis. In: Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, pp. 229\u2013238 (1995)","key":"2_CR5","DOI":"10.1145\/218380.218446"},{"doi-asserted-by":"crossref","unstructured":"Efros, A.A., Freeman, W.T.: Image quilting for texture synthesis and transfer. In: Proceedings of the 28nd Annual Conference on Computer Graphics and Interactive Techniques, pp. 341\u2013346 (2001)","key":"2_CR6","DOI":"10.1145\/383259.383296"},{"doi-asserted-by":"crossref","unstructured":"Ulyanov, D., Vedaldi, A., Lempitsky, V.: Improved texture networks: maximizing quality and diversity in feed-forward stylization and texture synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","key":"2_CR7","DOI":"10.1109\/CVPR.2017.437"},{"unstructured":"Chen, T.Q., Schmidt, M.: Fast Patch-Based Style Transfer of Arbitrary Style. arXiv preprint arXiv:1612.04337 (2016)","key":"2_CR8"},{"doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: European Conference on Computer Vision (ECCV) (2016)","key":"2_CR9","DOI":"10.1007\/978-3-319-46475-6_43"},{"unstructured":"Li, Y., Fang, C., Yang, J., Wang, Z., Lu, X., Yang, M.-H.: Universal style transfer via feature transforms. In: Proceedings of the 31st International Conference on Neural Information Processing Systems (NeurIPS) (2017)","key":"2_CR10"},{"doi-asserted-by":"crossref","unstructured":"Huang, X., Belongie, S.: Arbitrary style transfer in real-time with adaptive instance normalization. In: IEEE International Conference on Computer Vision (ICCV) (2017)","key":"2_CR11","DOI":"10.1109\/ICCV.2017.167"},{"doi-asserted-by":"crossref","unstructured":"Li, S., Xu, X., Nie, L., Chua, T.-S.: Laplacian-steered neural style transfer. In: Proceedings of the 25th ACM international conference on Multimedia (2017)","key":"2_CR12","DOI":"10.1145\/3123266.3123425"},{"key":"2_CR13","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1109\/TIP.2019.2936746","volume":"29","author":"M-M Cheng","year":"2020","unstructured":"Cheng, M.-M., Liu, X.-C., Wang, J., Lu, S.-P., Lai, Y.-K., Rosin, P.L.: Structure-preserving neural style transfer. IEEE Trans. Image Process. 29, 909\u2013920 (2020)","journal-title":"IEEE Trans. Image Process."},{"doi-asserted-by":"crossref","unstructured":"Ranzato, M., Huang, F.-J., Boureau, Y.-L., LeCun, Y.: Unsupervised learning of invariant feature hierarchies with applications to object recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2007)","key":"2_CR14","DOI":"10.1109\/CVPR.2007.383157"},{"unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational Bayes. In: International Conference on Learning Representations (2014)","key":"2_CR15"},{"unstructured":"Goodfellow, I.J., et al.: Generative adversarial nets. In: Proceedings of the 27th International Conference on Neural Information Processing Systems (NIPS), vol. 2, pp. 2672\u20132680 (2014)","key":"2_CR16"},{"doi-asserted-by":"crossref","unstructured":"Khan, A., Sohail, A., Zahoora, U., Qureshi, A.S.: A survey of the recent architectures of deep convolutional neural networks. In: Artificial Intelligence Review (2020)","key":"2_CR17","DOI":"10.1007\/s10462-020-09825-6"},{"unstructured":"Ulyanov, D., Vedaldi, A., Lempitsky, V.: Instance Normalization: The Missing Ingredient for Fast Stylization. arXiv preprint arXiv:1607.08022 (2016)","key":"2_CR18"},{"doi-asserted-by":"crossref","unstructured":"Li, X., Liu, S., Kautz, J., Yang, M.-H.: Learning linear transformations for fast image and video style transfer. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","key":"2_CR19","DOI":"10.1109\/CVPR.2019.00393"},{"doi-asserted-by":"crossref","unstructured":"Huang, X., Liu, M.-Y., Belongie, S., Kautz, J.: Multimodal unsupervised image-to-image translation. In: European Conference on Computer Vision (ECCV) (2018)","key":"2_CR20","DOI":"10.1007\/978-3-030-01219-9_11"},{"unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: Proceedings of the 32nd International Conference on International Conference on Machine Learning (ICML), vol. 37, pp. 448\u2013456 (2015)","key":"2_CR21"},{"doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: European Conference on Computer Vision (ECCV) (2014)","key":"2_CR22","DOI":"10.1007\/978-3-319-10602-1_48"},{"unstructured":"Nichol, K.: Painter by numbers, wikiart. https:\/\/www.kaggle.com\/c\/painter-by-numbers","key":"2_CR23"},{"unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations (ICLR) (2015)","key":"2_CR24"},{"doi-asserted-by":"crossref","unstructured":"Yao, Y., Ren, J., Xie, X., Liu, W., Liu, Y.-J., Wang, J.: Attention-aware multi-stroke style transfer. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","key":"2_CR25","DOI":"10.1109\/CVPR.2019.00156"},{"doi-asserted-by":"crossref","unstructured":"Wang, H., Li, Y., Wang, Y., Hu, H., Yang, M.: Collaborative distillation for ultra-resolution universal style transfer. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","key":"2_CR26","DOI":"10.1109\/CVPR42600.2020.00193"},{"doi-asserted-by":"crossref","unstructured":"Singh, A., Hingane, S., Gong, X., Wang, Z.: SAFIN: arbitrary style transfer with self-attentive factorized instance normalization. In: IEEE International Conference on Multimedia and Expo (ICME) (2021)","key":"2_CR27","DOI":"10.1109\/ICME51207.2021.9428124"},{"doi-asserted-by":"crossref","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. In: IEEE Transactions on Image Processing, vol. 13, pp. 600\u2013612 (2004)","key":"2_CR28","DOI":"10.1109\/TIP.2003.819861"},{"doi-asserted-by":"crossref","unstructured":"Canny, J.: A computational approach to edge detection. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 679\u2013698 (1986)","key":"2_CR29","DOI":"10.1109\/TPAMI.1986.4767851"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-09037-0_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T15:25:22Z","timestamp":1687879522000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-09037-0_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031090363","9783031090370"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-09037-0_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"2 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPRAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icprai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icprai2022.sciencesconf.org\/1.6.If","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}