{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T21:06:37Z","timestamp":1761599197746},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093602","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"source":"Crossref","is-referenced-by-count":8,"title":["Attention-based Fusion for Multi-source Human Image Generation"],"prefix":"10.1109","author":[{"given":"Stephane","family":"Lathuiliere","sequence":"first","affiliation":[]},{"given":"Enver","family":"Sangineto","sequence":"additional","affiliation":[]},{"given":"Aliaksandr","family":"Siarohin","sequence":"additional","affiliation":[]},{"given":"Nicu","family":"Sebe","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Memory networks","author":"weston","year":"2014","journal-title":"arXiv 1410 3916"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref33","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"ulyanov","year":"2016","journal-title":"arXiv 1607 08022"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_10"},{"key":"ref31","article-title":"Semi-supervised conditional GANs","author":"sricharan","year":"2017","journal-title":"arXiv 1708 05789"},{"key":"ref30","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.361"},{"key":"ref36","article-title":"Pointer networks","author":"vinyals","year":"2015","journal-title":"NIPS"},{"key":"ref35","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"NIPS"},{"key":"ref34","article-title":"Order matters: Sequence to sequence for sets","author":"vinyals","year":"2015","journal-title":"arXiv 1511 06391"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00459"},{"key":"ref40","article-title":"Disentangling multiple conditional inputs in gans","author":"yildirim","year":"2018","journal-title":"WS ACM SIGKDD"},{"key":"ref11","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NIPS"},{"key":"ref12","author":"guler","year":"2018","journal-title":"Densepose Dense human pose estimation in the wild"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref14","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2014","journal-title":"ICLRE"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.98"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00431"},{"key":"ref17","article-title":"Neural animation and reenactment of human actor videos","author":"liu","year":"2018","journal-title":"arXiv preprint arXiv 1809 03658"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.124"},{"key":"ref19","article-title":"Pose guided person image generation","author":"ma","year":"2017","journal-title":"NIPS"},{"key":"ref28","article-title":"First order motion model for image animation","author":"siarohin","year":"2019","journal-title":"NeurIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00248"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00870"},{"key":"ref6","article-title":"Everybody dance now","author":"chan","year":"2018","journal-title":"arXiv preprint arXiv 1808 02194"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00359"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref8","article-title":"Soft-gated warping-gan for pose-guided person image synthesis","author":"dong","year":"2018","journal-title":"arXiv preprint arXiv 1810 10053"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref2","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014","journal-title":"arXiv 1409 0473"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00923"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00789"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00018"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref22","article-title":"Mc-gan: Multi-conditional generative adversarial network for image synthesis","author":"park","year":"2018","journal-title":"BMVC"},{"key":"ref21","article-title":"Dense pose transfer","author":"neverova","year":"2018","journal-title":"ECCV"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00565"},{"key":"ref24","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"shi","year":"2015","journal-title":"NIPS"},{"key":"ref41","author":"zablotskaia","year":"2019","journal-title":"Dwnet Dense warp-based network for pose-guided human video generation"},{"key":"ref23","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"NIPS"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2947427"},{"key":"ref43","article-title":"Multi-view image generation from a single-view","author":"zhao","year":"2017","journal-title":"arXiv 1704 04886"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00020"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","location":"Snowmass Village, CO, USA","start":{"date-parts":[[2020,3,1]]},"end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093602.pdf?arnumber=9093602","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:17:57Z","timestamp":1656602277000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093602\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093602","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}