{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T20:06:30Z","timestamp":1780085190875,"version":"3.54.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"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":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561751","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"4481-4487","source":"Crossref","is-referenced-by-count":7,"title":["Conditional StyleGAN for Grasp Generation"],"prefix":"10.1109","author":[{"given":"Florian","family":"Patzelt","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Haschke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helge","family":"Ritter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1109\/IROS45743.2020.9340777","article-title":"Antipodal robotic grasping using generative residual convolutional neural network","author":"kumra","year":"2020"},{"key":"ref31","article-title":"Deep grasp: Detection and localization of grasps with deep neural networks","volume":"abs 1802 520","author":"chu","year":"2018","journal-title":"CoRR"},{"key":"ref30","article-title":"Planning multi-fingered grasps as probabilistic inference in a learned deep network","volume":"abs 1804 3289","author":"lu","year":"2018","journal-title":"CoRR"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2014.7041364"},{"key":"ref35","author":"meyer zu borgsen","year":"2016","journal-title":"ToBI Team of Bielefeld Enhancing Robot Behaviors and the Role of Multi-Robotics in RoboCup Home"},{"key":"ref34","article-title":"An intriguing failing of convolutional neural networks and the coordconv solution","author":"liu","year":"2018"},{"key":"ref10","first-page":"1486","article-title":"Deep generative image models using a laplacian pyramid of adversarial networks","author":"denton","year":"2015","journal-title":"Advances in Neural Information Proc Systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.202"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref14","article-title":"Photo-realistic single image super-resolution using a generative adversarial network","author":"ledig","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref15","article-title":"Using simulation and domain adaptation to improve efficiency of deep robotic grasping","author":"bousmalis","year":"2017","journal-title":"arXiv preprint arXiv 1709 07492"},{"key":"ref16","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"arXiv preprint arXiv 1511 06434"},{"key":"ref17","first-page":"2234","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"Advances in Neural Information Proc Systems"},{"key":"ref18","article-title":"Wasserstein gan","author":"arjovsky","year":"2017","journal-title":"arXiv preprint arXiv 1701 07875"},{"key":"ref19","first-page":"5769","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"Advances in Neural Information Proc Systems"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2826057"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139793"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2651945"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139882"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aau4984"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2017.8239542"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917735594"},{"key":"ref8","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Proc Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487517"},{"key":"ref2","article-title":"Grasping unknown objects in clutter by superquadric representation","author":"makhal","year":"2017","journal-title":"arXiv preprint arXiv 1710 02121"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref1","article-title":"Conditional WGAN for grasp generation","author":"patzelt","year":"2019","journal-title":"European Symposium on Artificial Neural Networks (ESANN)"},{"key":"ref20","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv preprint arXiv 1411 1784"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.058"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref24","article-title":"Learning a visuomotor controller for real world robotic grasping using easily simulated depth images","author":"viereck","year":"2017","journal-title":"arXiv preprint arXiv 1706 04652"},{"key":"ref23","article-title":"Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection","volume":"abs 1603 2199","author":"levine","year":"2016","journal-title":"CoRR"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.021"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01291"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09561751.pdf?arnumber=9561751","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T22:55:34Z","timestamp":1673564134000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561751\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561751","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}