{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:53:59Z","timestamp":1780592039695,"version":"3.54.1"},"publisher-location":"Cham","reference-count":61,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012458","type":"print"},{"value":"9783030012465","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\/978-3-030-01246-5_37","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T20:14:56Z","timestamp":1538770496000},"page":"622-638","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":140,"title":["ReenactGAN: Learning to Reenact Faces via Boundary Transfer"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1364-8151","authenticated-orcid":false,"given":"Wayne","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2609-344X","authenticated-orcid":false,"given":"Yunxuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0892-4705","authenticated-orcid":false,"given":"Cheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8761-5563","authenticated-orcid":false,"given":"Chen","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5345-1591","authenticated-orcid":false,"given":"Chen Change","family":"Loy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"issue":"6","key":"37_CR1","doi-asserted-by":"publisher","first-page":"22","DOI":"10.4304\/jmm.1.6.22-35","volume":"1","author":"MS Bartlett","year":"2006","unstructured":"Bartlett, M.S., Littlewort, G., Frank, M.G., Lainscsek, C., Fasel, I.R., Movellan, J.R.: Automatic recognition of facial actions in spontaneous expressions. J. Multimedia 1(6), 22\u201335 (2006)","journal-title":"J. Multimedia"},{"issue":"4","key":"37_CR2","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1145\/2461912.2462012","volume":"32","author":"C Cao","year":"2013","unstructured":"Cao, C., Weng, Y., Lin, S., Zhou, K.: 3D shape regression for real-time facial animation. ACM Trans. Graph. (TOG) 32(4), 41 (2013)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"37_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, Y.T., et al.: 3D-model-based face replacement in video. ACM (2009)","DOI":"10.1145\/1599301.1599330"},{"issue":"6","key":"37_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2070781.2024164","volume":"30","author":"K Dale","year":"2011","unstructured":"Dale, K., Sunkavalli, K., Johnson, M.K., Vlasic, D., Matusik, W., Pfister, H.: Video face replacement. ACM Trans. Graph. (TOG) 30(6), 1\u201310 (2011)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"37_CR5","unstructured":"Deng, J., Trigeorgis, G., Zhou, Y., Zafeiriou, S.: Joint multi-view face alignment in the wild arXiv:1708.06023 (2017)"},{"key":"37_CR6","doi-asserted-by":"crossref","unstructured":"Dong, X., Yan, Y., Ouyang, W., Yang, Y.: Style aggregated network for facial landmark detection. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00047"},{"key":"37_CR7","unstructured":"Ekman, P., Friesen, W., Hager, J.: Facial Action Coding System (FACS): Manual. A Human Face (2002)"},{"key":"37_CR8","doi-asserted-by":"crossref","unstructured":"Garrido, P., Valgaerts, L., Rehmsen, O., Thormahlen, T., Perez, P., Theobalt, C.: Automatic face reenactment. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.537"},{"key":"37_CR9","doi-asserted-by":"crossref","unstructured":"Garrido, P., et al.: VDub: modifying face video of actors for plausible visual alignment to a dubbed audio track. In: Computer Graphics Forum, vol. 34, pp. 193\u2013204. Wiley Online Library (2015)","DOI":"10.1111\/cgf.12552"},{"key":"37_CR10","unstructured":"Goodfellow, I.J., et al.: Generative adversarial networks. In: NIPS, vol. 3, pp. 2672\u20132680 (2014)"},{"key":"37_CR11","doi-asserted-by":"crossref","unstructured":"G\u00fcler, R.A., Neverova, N., Kokkinos, I.: Densepose: Dense human pose estimation in the wild. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00762"},{"key":"37_CR12","doi-asserted-by":"crossref","unstructured":"G\u00fcler, R.A., Trigeorgis, G., Antonakos, E., Snape, P., Zafeiriou, S., Kokkinos, I.: DenseReg: fully convolutional dense shape regression in-the-wild. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.280"},{"issue":"3","key":"37_CR13","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: High-speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 37(3), 583\u2013596 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"key":"37_CR14","doi-asserted-by":"crossref","unstructured":"Herbrich, R., Minka, T., Graepel, T.: TrueSkill$${}^{\\text{tm}}$$: a bayesian skill rating system. In: NIPS (2006)","DOI":"10.7551\/mitpress\/7503.003.0076"},{"key":"37_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: CVPR (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"37_CR16","unstructured":"Jin, X., Qi, Y., Wu, S.: Cyclegan face-off arXiv:1712.03451 (2017)"},{"key":"37_CR17","doi-asserted-by":"crossref","unstructured":"Kapoor, A., Picard, R.W.: Multimodal affect recognition in learning environments. In: MM (2005)","DOI":"10.1145\/1101149.1101300"},{"key":"37_CR18","doi-asserted-by":"crossref","unstructured":"Kim, H., et al.: Deep video portraits. In: SIGGRAPH (2018)","DOI":"10.1145\/3197517.3201283"},{"key":"37_CR19","doi-asserted-by":"crossref","unstructured":"Kumar, A., Chellappa, R.: Disentangling 3D pose in a dendritic CNN for unconstrained 2D face alignment. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00052"},{"key":"37_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1007\/978-3-642-33712-3_49","volume-title":"Computer Vision \u2013 ECCV 2012","author":"V Le","year":"2012","unstructured":"Le, V., Brandt, J., Lin, Z., Bourdev, L., Huang, T.S.: Interactive facial feature localization. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7574, pp. 679\u2013692. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33712-3_49"},{"key":"37_CR21","doi-asserted-by":"crossref","unstructured":"Ledig, C., et al.: Photo-realistic single image super-resolution using a generative adversarial network. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.19"},{"key":"37_CR22","unstructured":"Li, K., Xu, F., Wang, J., Dai, Q., Liu, Y.: A data-driven approach for facial expression synthesis in video. In: CVPR (2012)"},{"key":"37_CR23","doi-asserted-by":"crossref","unstructured":"Lin, K.Y., Wang, G.: Hallucinated-IQA: no-reference image quality assessment via adversarial learning. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00083"},{"key":"37_CR24","unstructured":"Lin, K.Y., Wang, G.: Self-supervised deep multiple choice learning network for blind image quality assessment. In: BMVC (2018)"},{"key":"37_CR25","doi-asserted-by":"crossref","unstructured":"Mahoor, M.H., Cadavid, S., Messinger, D.S., Cohn, J.F.: A framework for automated measurement of the intensity of non-posed facial action units. In: CVPR (2009)","DOI":"10.1109\/CVPRW.2009.5204259"},{"issue":"2","key":"37_CR26","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/T-AFFC.2013.4","volume":"4","author":"SM Mavadati","year":"2013","unstructured":"Mavadati, S.M., Mahoor, M.H., Bartlett, K., Trinh, P., Cohn, J.F.: DISFA: a spontaneous facial action intensity database. IEEE Trans. Affect. Comput. (TAC) 4(2), 151\u2013160 (2013)","journal-title":"IEEE Trans. Affect. Comput. (TAC)"},{"key":"37_CR27","doi-asserted-by":"crossref","unstructured":"Mueller, F., et al.: GANerated hands for real-time 3D hand tracking from monocular RGB. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00013"},{"key":"37_CR28","doi-asserted-by":"crossref","unstructured":"Nguyen, A., Yosinski, J., Bengio, Y., Dosovitskiy, A., Clune, J.: Plug & play generative networks: conditional iterative generation of images in latent space arXiv:1612.00005 (2016)","DOI":"10.1109\/CVPR.2017.374"},{"key":"37_CR29","unstructured":"Ren, S., He, K., Girshick, R.B., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2015)"},{"key":"37_CR30","doi-asserted-by":"crossref","unstructured":"Sajjadi, M.S.M., Scholkopf, B., Hirsch, M.: Enhancenet: single image super-resolution through automated texture synthesis. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.481"},{"key":"37_CR31","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition, vol. abs\/1409.1556 (2014)"},{"key":"37_CR32","doi-asserted-by":"crossref","unstructured":"Suwajanakorn, S., Seitz, S.M., Kemelmacher-Shlizerman, I.: What makes tom hanks look like tom hanks. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.450"},{"key":"37_CR33","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M., Wolf, L.: DeepFace: closing the gap to human-level performance in face verification. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.220"},{"issue":"6","key":"37_CR34","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1145\/2816795.2818056","volume":"34","author":"J Thies","year":"2015","unstructured":"Thies, J., Zollh\u00f6fer, M., Nie\u00dfner, M., Valgaerts, L., Stamminger, M., Theobalt, C.: Real-time expression transfer for facial reenactment. ACM Trans. Graph. (TOG) 34(6), 183 (2015)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"37_CR35","doi-asserted-by":"crossref","unstructured":"Thies, J., Zollh\u00f6fer, M., Stamminger, M., Theobalt, C., Nie\u00dfner, M.: Face2Face: real-time face capture and reenactment of RGB videos. In: CVPR (2016)","DOI":"10.1145\/2929464.2929475"},{"key":"37_CR36","unstructured":"Thies, J., Zollh\u00f6fer, M., Stamminger, M., Theobalt, C., Nie\u00dfner, M.: Facevr: Real-time facial reenactment and eye gaze control in virtual reality. CoRR abs\/1610.03151 (2016)"},{"issue":"10","key":"37_CR37","doi-asserted-by":"publisher","first-page":"1683","DOI":"10.1109\/TPAMI.2007.1094","volume":"29","author":"Y Tong","year":"2007","unstructured":"Tong, Y., Liao, W., Ji, Q.: Facial action unit recognition by exploiting their dynamic and semantic relationships. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 29(10), 1683\u20131699 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"key":"37_CR38","doi-asserted-by":"crossref","unstructured":"Tran, D.L., Walecki, R., Rudovic, O., Eleftheriadis, S., Schuller, B.W., Pantic, M.: Deepcoder: semi-parametric variational autoencoders for automatic facial action coding. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.346"},{"key":"37_CR39","doi-asserted-by":"crossref","unstructured":"Trigeorgis, G., Snape, P., Nicolaou, M.A., Antonakos, E., Zafeiriou, S.: Mnemonic descent method: a recurrent process applied for end-to-end face alignment. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.453"},{"key":"37_CR40","doi-asserted-by":"crossref","unstructured":"Upchurch, P., Gardner, J., Bala, K., Pless, R., Snavely, N., Weinberger, K.Q.: Deep feature interpolation for image content changes. arXiv:1611.05507 (2016)","DOI":"10.1109\/CVPR.2017.645"},{"issue":"3","key":"37_CR41","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1145\/1073204.1073209","volume":"24","author":"D Vlasic","year":"2005","unstructured":"Vlasic, D., Brand, M., Pfister, H., Popovi\u0107, J.: Face transfer with multilinear models. ACM Trans. Graph. (TOG) 24(3), 426\u2013433 (2005)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"37_CR42","doi-asserted-by":"crossref","unstructured":"Walecki, R., Rudovic, O., Pavlovic, V., Pantic, M.: Copula ordinal regression for joint estimation of facial action unit intensity. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.530"},{"key":"37_CR43","doi-asserted-by":"crossref","unstructured":"Walecki, R., Rudovic, O., Pavlovic, V., Schuller, B.W., Pantic, M.: Deep structured learning for facial action unit intensity estimation. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.605"},{"issue":"4","key":"37_CR44","first-page":"118","volume":"35","author":"C Wang","year":"2016","unstructured":"Wang, C., Shi, F., Xia, S., Chai, J.: Realtime 3D eye gaze animation using a single RGB camera. ACM Trans. Graph. (TOG) 35(4), 118 (2016)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"37_CR45","doi-asserted-by":"crossref","unstructured":"Wang, T., Liu, M., Zhu, J., Tao, A., Kautz, J., Catanzaro, B.: High-resolution image synthesis and semantic manipulation with conditional GANs. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00917"},{"issue":"4","key":"37_CR46","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. (TIP) 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process. (TIP)"},{"key":"37_CR47","unstructured":"Wei, T.: Cyclegan face-off (2017). https:\/\/www.youtube.com\/watch?v=Fea4kZq0oFQ"},{"issue":"6","key":"37_CR48","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1145\/2980179.2980233","volume":"35","author":"C Wu","year":"2016","unstructured":"Wu, C., et al.: Model-based teeth reconstruction. ACM Trans. Graph. (TOG) 35(6), 220 (2016)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"37_CR49","doi-asserted-by":"crossref","unstructured":"Wu, S., Wang, S., Pan, B., Ji, Q.: Deep facial action unit recognition from partially labeled data. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.426"},{"key":"37_CR50","doi-asserted-by":"crossref","unstructured":"Wu, W., Qian, C., Yang, S., Wang, Q., Cai, Y., Zhou, Q.: Look at boundary: a boundary-aware face alignment algorithm. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00227"},{"key":"37_CR51","doi-asserted-by":"crossref","unstructured":"Wu, W., Yang, S.: Leveraging intra and inter-dataset variations for robust face alignment. In: CVPR Workshop (2017)","DOI":"10.1109\/CVPRW.2017.261"},{"key":"37_CR52","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/978-3-319-46448-0_4","volume-title":"Computer Vision \u2013 ECCV 2016","author":"S Xiao","year":"2016","unstructured":"Xiao, S., Feng, J., Xing, J., Lai, H., Yan, S., Kassim, A.: Robust facial landmark detection via recurrent attentive-refinement networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 57\u201372. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_4"},{"key":"37_CR53","unstructured":"Xu, R., Zhou, Z., Zhang, W., Yu, Y.: Face transfer with generative adversarial network arXiv:1710.06090 (2017)"},{"key":"37_CR54","doi-asserted-by":"crossref","unstructured":"Zhang, H., et al.: StackGAN: text to photo-realistic image synthesis with stacked generative adversarial networks. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.629"},{"key":"37_CR55","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Liu, L., Li, C., Loy, C.C.: Quantifying facial age by posterior of age comparisons. In: BMVC (2017)","DOI":"10.5244\/C.31.108"},{"key":"37_CR56","doi-asserted-by":"crossref","unstructured":"Zhao, K., Chu, W., Zhang, H.: Deep region and multi-label learning for facial action unit detection. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.369"},{"key":"37_CR57","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networkss. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.244"},{"key":"37_CR58","unstructured":"Zhu, J., et al.: Toward multimodal image-to-image translation. In: NIPS (2017)"},{"key":"37_CR59","doi-asserted-by":"crossref","unstructured":"Zhu, S., Fidler, S., Urtasun, R., Lin, D., Loy, C.C.: Be your own Prada: fashion synthesis with structural coherence. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.186"},{"key":"37_CR60","unstructured":"Zhu, S., Li, C., Change Loy, C., Tang, X.: Face alignment by coarse-to-fine shape searching. In: CVPR (2015)"},{"key":"37_CR61","doi-asserted-by":"crossref","unstructured":"Zhu, S., Li, C., Loy, C.C., Tang, X.: Unconstrained face alignment via cascaded compositional learning. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.371"}],"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\/978-3-030-01246-5_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T17:42:34Z","timestamp":1693935754000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01246-5_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012458","9783030012465"],"references-count":61,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01246-5_37","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"}]}}