{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:21:11Z","timestamp":1781972471814,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Shenzhen Research Institute of Big Data Research","award":["T00120210002"],"award-info":[{"award-number":["T00120210002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972112,61832004,62106211"],"award-info":[{"award-number":["61972112,61832004,62106211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Basic and Applied Basic Research","award":["2021B1515020088"],"award-info":[{"award-number":["2021B1515020088"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20210324131203009"],"award-info":[{"award-number":["JCYJ20210324131203009"]}]},{"name":"HITSZ-J\\&A Joint Laboratory of Digital Design and Intelligent Fabrication","award":["HITSZ-J\\&A-2021A01"],"award-info":[{"award-number":["HITSZ-J\\&A-2021A01"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3612130","type":"proceedings-article","created":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T10:35:09Z","timestamp":1698921309000},"page":"7194-7204","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7369-526X","authenticated-orcid":false,"given":"Han","family":"Yan","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1648-0227","authenticated-orcid":false,"given":"Haijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9853-1114","authenticated-orcid":false,"given":"Jie","family":"Hou","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9665-0355","authenticated-orcid":false,"given":"Jicong","family":"Fan","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5703-7969","authenticated-orcid":false,"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00453"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447239"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"e_1_3_2_1_4_1","volume-title":"Cheng Ying Gao, and Zhongbo Su","author":"Cui Yi Rui","year":"2018","unstructured":"Yi Rui Cui, Qi Liu, Cheng Ying Gao, and Zhongbo Su. 2018. FashionGAN: display your fashion design using conditional generative adversarial nets. In Computer Graphics Forum, Vol. 37. Wiley Online Library, 109--119."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3414015"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00814"},{"key":"e_1_3_2_1_7_1","volume-title":"Texture synthesis using convolutional neural networks. Advances in neural information processing systems","author":"Gatys Leon","year":"2015","unstructured":"Leon Gatys, Alexander S Ecker, and Matthias Bethge. 2015. Texture synthesis using convolutional neural networks. Advances in neural information processing systems, Vol. 28 (2015)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.397"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"e_1_3_2_1_13_1","volume-title":"Deep learning for fashion style generation","author":"Jiang Shuhui","year":"2021","unstructured":"Shuhui Jiang, Jun Li, and Yun Fu. 2021. Deep learning for fashion style generation. IEEE Transactions on Neural Networks and Learning Systems (2021)."},{"key":"e_1_3_2_1_14_1","volume-title":"Neural style transfer: A review","author":"Jing Yongcheng","year":"2019","unstructured":"Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, and Mingli Song. 2019. Neural style transfer: A review. IEEE transactions on visualization and computer graphics, Vol. 26, 11 (2019), 3365--3385."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_3"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548094"},{"key":"e_1_3_2_1_19_1","volume-title":"Content-based image retrieval using color difference histogram. Pattern recognition","author":"Liu Guang-Hai","year":"2013","unstructured":"Guang-Hai Liu and Jing-Yu Yang. 2013. Content-based image retrieval using color difference histogram. Pattern recognition, Vol. 46, 1 (2013), 188--198."},{"key":"e_1_3_2_1_20_1","volume-title":"Unsupervised image-to-image translation networks. Advances in neural information processing systems","author":"Liu Ming-Yu","year":"2017","unstructured":"Ming-Yu Liu, Thomas Breuel, and Jan Kautz. 2017. Unsupervised image-to-image translation networks. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2897897"},{"key":"e_1_3_2_1_22_1","volume-title":"Interfacegan: Interpreting the disentangled face representation learned by gans","author":"Shen Yujun","year":"2020","unstructured":"Yujun Shen, Ceyuan Yang, Xiaoou Tang, and Bolei Zhou. 2020. Interfacegan: Interpreting the disentangled face representation learned by gans. IEEE transactions on pattern analysis and machine intelligence (2020)."},{"key":"e_1_3_2_1_23_1","volume-title":"Philip HS Torr, and Nicu Sebe","author":"Tang Hao","year":"2021","unstructured":"Hao Tang, Hong Liu, Dan Xu, Philip HS Torr, and Nicu Sebe. 2021. Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks. IEEE transactions on neural networks and learning systems (2021)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459838"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547939"},{"key":"e_1_3_2_1_26_1","volume-title":"Gan inversion: A survey","author":"Xia Weihao","year":"2022","unstructured":"Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang. 2022. Gan inversion: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00882"},{"key":"e_1_3_2_1_28_1","volume-title":"Toward intelligent design: An ai-based fashion designer using generative adversarial networks aided by sketch and rendering generators","author":"Yan Han","year":"2022","unstructured":"Han Yan, Haijun Zhang, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang, and Shuicheng Yan. 2022. Toward intelligent design: An ai-based fashion designer using generative adversarial networks aided by sketch and rendering generators. IEEE Transactions on Multimedia (2022)."},{"key":"e_1_3_2_1_29_1","volume-title":"2023 a. Inspiration transfer for intelligent design: A generative adversarial network with fashion attributes disentanglement","author":"Yan Han","year":"2023","unstructured":"Han Yan, Haijun Zhang, Jianyang Shi, Jianghong Ma, and Xiaofei Xu. 2023 a. Inspiration transfer for intelligent design: A generative adversarial network with fashion attributes disentanglement. IEEE Transactions on Consumer Electronics (2023)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3567596"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00754"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00913"},{"key":"e_1_3_2_1_33_1","volume-title":"The unreasonable effectiveness of deep features as a perceptual metric","author":"Zhang Richard","unstructured":"Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018. The unreasonable effectiveness of deep features as a perceptual metric. In IEEE CVPR. 586--595."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Yuxin Zhang Fan Tang Weiming Dong Haibin Huang Chongyang Ma Tong-Yee Lee and Changsheng Xu. 2022. Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning. In ACM SIGGRAPH.","DOI":"10.1145\/3528233.3530736"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.186"}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","location":"Ottawa ON Canada","acronym":"MM '23","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612130","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3612130","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T23:54:00Z","timestamp":1755820440000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612130"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":36,"alternative-id":["10.1145\/3581783.3612130","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3612130","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}