{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T01:27:33Z","timestamp":1772501253151,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T00:00:00Z","timestamp":1650585600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T00:00:00Z","timestamp":1650585600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100012554","name":"Hubei Provincial Department of Education","doi-asserted-by":"publisher","award":["Q201316"],"award-info":[{"award-number":["Q201316"]}],"id":[{"id":"10.13039\/100012554","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s00371-022-02480-8","type":"journal-article","created":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T15:02:48Z","timestamp":1650639768000},"page":"2583-2596","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["VTNCT: an image-based virtual try-on network by combining feature with pixel transformation"],"prefix":"10.1007","volume":"39","author":[{"given":"Yuan","family":"Chang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruhan","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinrong","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junping","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minghua","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,22]]},"reference":[{"issue":"4","key":"2480_CR1","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1109\/34.993558","volume":"24","author":"S Belongie","year":"2002","unstructured":"Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Trans. Pattern Anal. Mach. Intell. 24(4), 509\u2013522 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2480_CR2","doi-asserted-by":"publisher","unstructured":"Brouet, R., Sheffer, A., Boissieux, L., Cani, M.P.: Design preserving garment transfer. ACM Transactions on Graphics 31(4). https:\/\/doi.org\/10.1145\/2185520.2185532","DOI":"10.1145\/2185520.2185532"},{"key":"2480_CR3","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7291\u20137299 (2017)","DOI":"10.1109\/CVPR.2017.143"},{"key":"2480_CR4","doi-asserted-by":"crossref","unstructured":"Chang, Y., Peng, T., He, R., Hu, X., Liu, J., Zhang, Z., Jiang, M.: Dp-vton: toward detail-preserving image-based virtual try-on network. In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2295\u20132299. IEEE (2021)","DOI":"10.1109\/ICASSP39728.2021.9414874"},{"key":"2480_CR5","doi-asserted-by":"crossref","unstructured":"Chen, W., Wang, H., Li, Y., Su, H., Wang, Z., Tu, C., Lischinski, D., Cohen-Or, D., Chen, B.: Synthesizing training images for boosting human 3d pose estimation. In: 2016 Fourth International Conference on 3D Vision (3DV), pp. 479\u2013488. IEEE (2016)","DOI":"10.1109\/3DV.2016.58"},{"key":"2480_CR6","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"2480_CR7","doi-asserted-by":"crossref","unstructured":"Dong, H., Liang, X., Shen, X., Wang, B., Lai, H., Zhu, J., Hu, Z., Yin, J.: Towards multi-pose guided virtual try-on network. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9026\u20139035 (2019)","DOI":"10.1109\/ICCV.2019.00912"},{"key":"2480_CR8","doi-asserted-by":"crossref","unstructured":"Ge, Y., Song, Y., Zhang, R., Ge, C., Liu, W., Luo, P.: Parser-free virtual try-on via distilling appearance flows. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8485\u20138493 (2021)","DOI":"10.1109\/CVPR46437.2021.00838"},{"key":"2480_CR9","doi-asserted-by":"crossref","unstructured":"Gong, K., Liang, X., Zhang, D., Shen, X., Lin, L.: Look into person: self-supervised structure-sensitive learning and a new benchmark for human parsing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 932\u2013940 (2017)","DOI":"10.1109\/CVPR.2017.715"},{"key":"2480_CR10","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)"},{"issue":"4","key":"2480_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2185520.2185531","volume":"31","author":"P Guan","year":"2012","unstructured":"Guan, P., Reiss, L., Hirshberg, D.A., Weiss, A., Black, M.J.: Drape: dressing any person. ACM Trans. Graph. (TOG) 31(4), 1\u201310 (2012)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"2480_CR12","doi-asserted-by":"crossref","unstructured":"Guo, J., Lu, S., Cai, H., Zhang, W., Yu, Y., Wang, J.: Long text generation via adversarial training with leaked information. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.11957"},{"key":"2480_CR13","doi-asserted-by":"crossref","unstructured":"Han, X., Wu, Z., Wu, Z., Yu, R., Davis, L.S.: Viton: an image-based virtual try-on network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7543\u20137552 (2018)","DOI":"10.1109\/CVPR.2018.00787"},{"key":"2480_CR14","unstructured":"Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local Nash equilibrium. In: Advances in Neural Information Processing Systems, pp. 6626\u20136637 (2017)"},{"key":"2480_CR15","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"2480_CR16","doi-asserted-by":"crossref","unstructured":"Issenhuth, T., Mary, J., Calauzenes, C.: Do not mask what you do not need to mask: a parser-free virtual try-on. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XX 16, pp. 619\u2013635. Springer (2020)","DOI":"10.1007\/978-3-030-58565-5_37"},{"key":"2480_CR17","doi-asserted-by":"crossref","unstructured":"Jandial, S., Chopra, A., Ayush, K., Hemani, M., Krishnamurthy, B., Halwai, A.: Sievenet: A unified framework for robust image-based virtual try-on. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 2182\u20132190 (2020)","DOI":"10.1109\/WACV45572.2020.9093458"},{"key":"2480_CR18","doi-asserted-by":"crossref","unstructured":"Jetchev, N., Bergmann, U.: The conditional analogy GAN: swapping fashion articles on people images. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 2287\u20132292 (2017)","DOI":"10.1109\/ICCVW.2017.269"},{"key":"2480_CR19","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"2480_CR20","doi-asserted-by":"crossref","unstructured":"Kupyn, O., Budzan, V., Mykhailych, M., Mishkin, D., Matas, J.: Deblurgan: blind motion deblurring using conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8183\u20138192 (2018)","DOI":"10.1109\/CVPR.2018.00854"},{"key":"2480_CR21","doi-asserted-by":"crossref","unstructured":"Lassner, C., Pons-Moll, G., Gehler, P.V.: A generative model of people in clothing. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 853\u2013862 (2017)","DOI":"10.1109\/ICCV.2017.98"},{"key":"2480_CR22","doi-asserted-by":"crossref","unstructured":"Ledig, C., Theis, L., Husz\u00e1r, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et\u00a0al.: Photo-realistic single image super-resolution using a generative adversarial network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4681\u20134690 (2017)","DOI":"10.1109\/CVPR.2017.19"},{"key":"2480_CR23","doi-asserted-by":"crossref","unstructured":"Lee, H.J., Lee, R., Kang, M., Cho, M., Park, G.: La-viton: a network for looking-attractive virtual try-on. In: 2019 IEEE\/CVF International Conference on Computer Vision Workshop (ICCVW), pp. 3129\u20133132. IEEE (2019)","DOI":"10.1109\/ICCVW.2019.00381"},{"key":"2480_CR24","doi-asserted-by":"crossref","unstructured":"Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., Van\u00a0Gool, L.: Pose guided person image generation. In: Advances in Neural Information Processing Systems, pp. 405\u2013415 (2017)","DOI":"10.1109\/CVPR.2018.00018"},{"issue":"5","key":"2480_CR25","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1007\/s00371-020-01843-3","volume":"37","author":"T Ma","year":"2021","unstructured":"Ma, T., Tian, W.: Back-projection-based progressive growing generative adversarial network for single image super-resolution. Vis. Comput. 37(5), 925\u2013938 (2021)","journal-title":"Vis. Comput."},{"key":"2480_CR26","unstructured":"Minar, M., Tuan, T., Ahn, H., Rosin, P., Lai, Y.: Cp-vton+: clothing shape and texture preserving image-based virtual try-on. In: The IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, vol.\u00a02, p.\u00a011 (2020)"},{"key":"2480_CR27","unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)"},{"key":"2480_CR28","unstructured":"Mo, S., Cho, M., Shin, J.: Instagan: instance-aware image-to-image translation. arXiv preprint arXiv:1812.10889 (2018)"},{"issue":"4","key":"2480_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073711","volume":"36","author":"G Pons-Moll","year":"2017","unstructured":"Pons-Moll, G., Pujades, S., Hu, S., Black, M.J.: Clothcap: seamless 4d clothing capture and retargeting. ACM Trans. Graph. (TOG) 36(4), 1\u201315 (2017)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"2480_CR30","doi-asserted-by":"crossref","unstructured":"Pumarola, A., Agudo, A., Sanfeliu, A., Moreno-Noguer, F.: Unsupervised person image synthesis in arbitrary poses. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8620\u20138628 (2018)","DOI":"10.1109\/CVPR.2018.00899"},{"key":"2480_CR31","doi-asserted-by":"crossref","unstructured":"Qiao, T., Zhang, J., Xu, D., Tao, D.: Mirrorgan: learning text-to-image generation by redescription. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1505\u20131514 (2019)","DOI":"10.1109\/CVPR.2019.00160"},{"key":"2480_CR32","unstructured":"Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. In: International Conference on Machine Learning, pp. 1060\u20131069. PMLR (2016)"},{"key":"2480_CR33","doi-asserted-by":"crossref","unstructured":"Rocco, I., Arandjelovic, R., Sivic, J.: Convolutional neural network architecture for geometric matching. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6148\u20136157 (2017)","DOI":"10.1109\/CVPR.2017.12"},{"key":"2480_CR34","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 234\u2013241. Springer (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"2480_CR35","unstructured":"Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., Chen, X.: Improved techniques for training GANs. In: Advances in Neural Information Processing Systems, pp. 2234\u20132242 (2016)"},{"key":"2480_CR36","doi-asserted-by":"crossref","unstructured":"Siarohin, A., Sangineto, E., Lathuiliere, S., Sebe, N.: Deformable GANs for pose-based human image generation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3408\u20133416 (2018)","DOI":"10.1109\/CVPR.2018.00359"},{"key":"2480_CR37","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: International Conference on Learning Representations (2015)"},{"issue":"8","key":"2480_CR38","doi-asserted-by":"publisher","first-page":"2285","DOI":"10.1007\/s00371-020-01986-3","volume":"37","author":"H Song","year":"2021","unstructured":"Song, H., Wang, M., Zhang, L., Li, Y., Jiang, Z., Yin, G.: S2rgan: sonar-image super-resolution based on generative adversarial network. Vis. Comput. 37(8), 2285\u20132299 (2021)","journal-title":"Vis. Comput."},{"key":"2480_CR39","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"2480_CR40","doi-asserted-by":"crossref","unstructured":"Wang, B., Zheng, H., Liang, X., Chen, Y., Lin, L., Yang, M.: Toward characteristic-preserving image-based virtual try-on network. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 589\u2013604 (2018)","DOI":"10.1007\/978-3-030-01261-8_36"},{"key":"2480_CR41","doi-asserted-by":"crossref","unstructured":"Wang, T.C., Liu, M.Y., Zhu, J.Y., Tao, A., Kautz, J., Catanzaro, B.: High-resolution image synthesis and semantic manipulation with conditional GANs. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8798\u20138807 (2018)","DOI":"10.1109\/CVPR.2018.00917"},{"issue":"4","key":"2480_CR42","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."},{"key":"2480_CR43","doi-asserted-by":"crossref","unstructured":"Yang, H., Zhang, R., Guo, X., Liu, W., Zuo, W., Luo, P.: Towards photo-realistic virtual try-on by adaptively generating-preserving image content. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7850\u20137859 (2020)","DOI":"10.1109\/CVPR42600.2020.00787"},{"key":"2480_CR44","doi-asserted-by":"crossref","unstructured":"Yang, Y., Cheng, Z., Yu, H., Zhang, Y., Cheng, X., Zhang, Z., Xie, G.: MSE-Net: generative image inpainting with multi-scale encoder. Vis. Comput., 1\u201313 (2021)","DOI":"10.1007\/s00371-021-02143-0"},{"key":"2480_CR45","doi-asserted-by":"crossref","unstructured":"Yin, G., Liu, B., Sheng, L., Yu, N., Wang, X., Shao, J.: Semantics disentangling for text-to-image generation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2327\u20132336 (2019)","DOI":"10.1109\/CVPR.2019.00243"},{"key":"2480_CR46","doi-asserted-by":"crossref","unstructured":"Yu, L., Zhang, W., Wang, J., Yu, Y.: Seqgan: sequence generative adversarial nets with policy gradient. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a031 (2017)","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"2480_CR47","doi-asserted-by":"crossref","unstructured":"Yu, R., Wang, X., Xie, X.: Vtnfp: an image-based virtual try-on network with body and clothing feature preservation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10511\u201310520 (2019)","DOI":"10.1109\/ICCV.2019.01061"},{"key":"2480_CR48","unstructured":"Zhang, Y., Gan, Z., Fan, K., Chen, Z., Henao, R., Shen, D., Carin, L.: Adversarial feature matching for text generation. In: International Conference on Machine Learning, pp. 4006\u20134015. PMLR (2017)"},{"key":"2480_CR49","doi-asserted-by":"crossref","unstructured":"Zhao, B., Wu, X., Cheng, Z.Q., Liu, H., Jie, Z., Feng, J.: Multi-view image generation from a single-view. In: Proceedings of the 26th ACM International Conference on Multimedia, pp. 383\u2013391 (2018)","DOI":"10.1145\/3240508.3240536"},{"key":"2480_CR50","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-022-02480-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-022-02480-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-022-02480-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T10:05:10Z","timestamp":1688033110000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-022-02480-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,22]]},"references-count":50,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["2480"],"URL":"https:\/\/doi.org\/10.1007\/s00371-022-02480-8","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,22]]},"assertion":[{"value":"24 March 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}