{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T07:31:21Z","timestamp":1783582281430,"version":"3.55.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":[[2020,10]]},"DOI":"10.1109\/icip40778.2020.9191095","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T16:45:18Z","timestamp":1601484318000},"page":"2741-2745","source":"Crossref","is-referenced-by-count":10,"title":["Pvdeconv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D"],"prefix":"10.1109","author":[{"given":"Kseniya","family":"Cherenkova","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Djamila","family":"Aouada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gleb","family":"Gusev","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.701"},{"key":"ref12","first-page":"725","article-title":"Generating 3D faces using convolutional mesh autoencoders","author":"anurag ranjan","year":"2018","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1145\/3306346.3322959","article-title":"Meshcnn: A network with an edge","volume":"38","author":"hanocka","year":"2019","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"ref15","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","volume":"abs 1706 2413","author":"qi","year":"2017","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1145\/3326362","article-title":"Dynamic graph cnn for learning on point clouds","volume":"38","author":"wang","year":"2019","journal-title":"ACM Trans Graph"},{"key":"ref17","article-title":"Foldingnet: Interpretable unsupervised learning on 3d point clouds","volume":"abs 1712 7262","author":"yang","year":"2017","journal-title":"ArXiv"},{"key":"ref18","article-title":"3d point-capsule networks","volume":"abs 1812 10775","author":"zhao","year":"2018","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13792"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00047"},{"key":"ref6","first-page":"1912","article-title":"3d shapenets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref5","article-title":"Learning embedding of 3d models with quadric loss","volume":"abs 1907 10250","author":"agarwal","year":"2019","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00983"},{"key":"ref7","author":"chang","year":"2015","journal-title":"ShapeNet An Information-Rich 3D Model Repository"},{"key":"ref2","article-title":"Atlasnet: A papier-m&#x00E2;ch&#x00E9; approach to learning 3d surface generation","volume":"abs 1802 5384","author":"groueix","year":"2018","journal-title":"CoRR"},{"key":"ref1","article-title":"Deep learning for 3d point clouds: A survey","volume":"abs 1912 12033","author":"guo","year":"2019","journal-title":"ArXiv"},{"key":"ref9","article-title":"Deep learning advances on different 3d data representations: A survey","volume":"abs 1808 1462","author":"ahmed","year":"2018","journal-title":"ArXiv"},{"key":"ref20","article-title":"Point cloud GAN","volume":"abs 1810 5795","author":"li","year":"2018","journal-title":"CoRR"},{"key":"ref22","first-page":"2463","author":"fan","year":"2017","journal-title":"A point set generation network for 3d object reconstruction from a single image"},{"key":"ref21","article-title":"Point-voxel cnn for efficient 3d deep learning","author":"liu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref24","year":"0","journal-title":"Artec3d"},{"key":"ref23","year":"0","journal-title":"3dcontentcentral"}],"event":{"name":"2020 IEEE International Conference on Image Processing (ICIP)","location":"Abu Dhabi, United Arab Emirates","start":{"date-parts":[[2020,10,25]]},"end":{"date-parts":[[2020,10,28]]}},"container-title":["2020 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9184803\/9190635\/09191095.pdf?arnumber=9191095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T20:12:15Z","timestamp":1656360735000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9191095\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icip40778.2020.9191095","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}