{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:06:22Z","timestamp":1740099982081,"version":"3.37.3"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001700","name":"MEXT","doi-asserted-by":"publisher","award":["17H00745"],"award-info":[{"award-number":["17H00745"]}],"id":[{"id":"10.13039\/501100001700","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412393","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"7945-7952","source":"Crossref","is-referenced-by-count":2,"title":["\u03a9-GAN: Object Manifold Embedding GAN for Image Generation by Disentangling Parameters into Pose and Shape Manifolds"],"prefix":"10.1109","author":[{"given":"Yasutomo","family":"Kawanishi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daisuke","family":"Deguchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ichiro","family":"Ide","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Murase","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes","author":"xiang","year":"2017","journal-title":"Comput Res Repos no arXiv 1711 00199"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298930"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139363"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.169"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5220\/0006101201730178"},{"key":"ref10","article-title":"Conditional image synthesis with auxiliary classifier GANs","author":"odena","year":"2016","journal-title":"Comput Res Repos no arXiv 1610 09585"},{"key":"ref11","first-page":"2172","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"Adv Neural Info Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref13","first-page":"5967","article-title":"Fader Networks: Manipulating images by sliding attributes","author":"lample","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref14","first-page":"322","article-title":"Multi-view 3D models from single images with a convolutional network","volume":"7","author":"tatarchenko","year":"2016","journal-title":"Proc 14th European Conf on Comput Vision"},{"key":"ref15","first-page":"7588","article-title":"HoloGAN: Unsupervised learning of 3D representations from natural images","author":"nguyen-phuoc","year":"2019","journal-title":"Proc 17th Int Conf on Comput Vision"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00947"},{"key":"ref17","article-title":"Unrolled generative adversarial networks","author":"metz","year":"2016","journal-title":"Comput Res Repos no arXiv 1611 02163"},{"key":"ref18","first-page":"2269","article-title":"BourGAN: Generative networks with metric embeddings","author":"xiao","year":"2018","journal-title":"Adv Neural Info Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00152"},{"key":"ref28","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Adv Neural Info Process Syst"},{"key":"ref4","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017","journal-title":"Comput Res Repos no arXiv 1701 07875"},{"key":"ref27","article-title":"Self-attention generative adversarial networks","author":"zhang","year":"2018","journal-title":"Comput Res Repos no arXiv 1805 08318"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/BF01421486"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2905015"},{"key":"ref29","first-page":"6626","article-title":"GAN s trained by a two time-scale update rule converge to a local Nash equilibrium","author":"heusel","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref5","article-title":"BEGAN: Boundary equilibrium generative adversarial networks","author":"berthelot","year":"2017","journal-title":"Comput Res Repos no arXiv 1703 10717"},{"key":"ref8","article-title":"Image-to-Image translation with conditional adversarial networks","author":"isola","year":"2016","journal-title":"Comput Res Repos no arXiv 1611 07004"},{"key":"ref7","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"Comput Res Repos no arXiv 1511 06434"},{"key":"ref2","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"Comput Res Repos no arXiv 1411 1784"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref1","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref20","first-page":"650","article-title":"Deforming autoencoders: Unsupervised disentangling of shape and appearance","author":"shu","year":"2018","journal-title":"Proc 15th European Conf on Comput Vision"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00589"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01060"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001493000339"},{"key":"ref26","article-title":"ShapeNet: An information-rich 3D model repository","author":"chang","year":"2015","journal-title":"Comput Res Repos no arXiv 1512 03012"},{"key":"ref25","article-title":"Columbia object image library (COIL-20)","author":"nene","year":"1996","journal-title":"Department of Computer Science Columbia University Tech Rep CUCS-005–96"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412393.pdf?arnumber=9412393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:51Z","timestamp":1652197251000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412393\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412393","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}