{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T06:54:24Z","timestamp":1768546464414,"version":"3.49.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Centre of Science","award":["2019\/33\/B\/ST6\/00894"],"award-info":[{"award-number":["2019\/33\/B\/ST6\/00894"]}]},{"name":"National Centre of Science","award":["2017\/25\/B\/ST6\/01271"],"award-info":[{"award-number":["2017\/25\/B\/ST6\/01271"]}]},{"name":"National Centre of Science","award":["2020\/39\/B\/ST6\/01511"],"award-info":[{"award-number":["2020\/39\/B\/ST6\/01511"]}]},{"DOI":"10.13039\/501100001870","name":"Fundacja na rzecz Nauki Polskiej","doi-asserted-by":"publisher","award":["POIR.04.04.00-00-14DE\/18-00"],"award-info":[{"award-number":["POIR.04.04.00-00-14DE\/18-00"]}],"id":[{"id":"10.13039\/501100001870","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Centre of Science","award":["2020\/37\/B\/ST6\/03463"],"award-info":[{"award-number":["2020\/37\/B\/ST6\/03463"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,12,1]]},"DOI":"10.1109\/tpami.2021.3131131","type":"journal-article","created":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T20:14:46Z","timestamp":1637957686000},"page":"9995-10008","source":"Crossref","is-referenced-by-count":9,"title":["General Hypernetwork Framework for Creating 3D Point Clouds"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0097-5521","authenticated-orcid":false,"given":"Przemyslaw","family":"Spurek","sequence":"first","affiliation":[{"name":"Jagiellonian University, Krak&#x00F3;w, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4217-7712","authenticated-orcid":false,"given":"Maciej","family":"Zieba","sequence":"additional","affiliation":[{"name":"Wroc&#x0142;aw University of Science and Technology, Wroc&#x0142;aw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacek","family":"Tabor","sequence":"additional","affiliation":[{"name":"Jagiellonian University, Krak&#x00F3;w, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1486-8906","authenticated-orcid":false,"given":"Tomasz","family":"Trzcinski","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Warsaw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Auto-encoding variational bayes","author":"kingma","year":"0"},{"key":"ref38","article-title":"3D contour closing: A local operator based on chamfer distance transformation","author":"tran","year":"2013"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00477"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_4"},{"key":"ref31","article-title":"FFJORD: Free-form continuous dynamics for scalable reversible generative models","author":"grathwohl","year":"2018"},{"key":"ref30","first-page":"6571","article-title":"Neural ordinary differential equations","author":"chen","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"ref36","first-page":"216","article-title":"A papier-m&#x00E2;ch&#x00E9; approach to learning 3D surface generation","author":"groueix","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref35","article-title":"Modeling 3D surface manifolds with a locally conditioned atlas","author":"spurek","year":"2021"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3DV50981.2020.00069"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00611"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01473"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00295"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2376492"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"key":"ref20","first-page":"4790","article-title":"Conditional image generation with pixelCNN decoders","author":"van den oord","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.119"},{"key":"ref21","first-page":"2635","article-title":"A theory of generative ConvNet","author":"xie","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00887"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2934852"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3045010"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00900"},{"key":"ref50","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","first-page":"40","article-title":"Learning representations and generative models for 3D point clouds","author":"achlioptas","year":"0"},{"key":"ref53","first-page":"40","article-title":"Learning representations and generative models for 3D point clouds","author":"achlioptas","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref52","article-title":"Point cloud GAN","author":"li","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2020.102921"},{"key":"ref11","first-page":"9099","article-title":"Hypernetwork approach to generating point clouds","author":"spurek","year":"2020","journal-title":"Proc 37th Int Conf Mach Learn"},{"key":"ref40","article-title":"Wasserstein auto-encoders","author":"tolstikhin","year":"0"},{"key":"ref12","article-title":"Hypernetworks","author":"ha","year":"0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30493-5_48"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00029"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1109\/TPAMI.2012.59","article-title":"3D convolutional neural networks for human action recognition","volume":"35","author":"ji","year":"2012","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref17","first-page":"82","article-title":"Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling","author":"wu","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093430"},{"key":"ref4","first-page":"1912","article-title":"3D ShapeNets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.114"},{"key":"ref6","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref5","first-page":"3391","article-title":"Deep sets","author":"zaheer","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00464"},{"key":"ref7","first-page":"5099","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref49","first-page":"573","article-title":"Invertible residual networks","author":"behrmann","year":"2019"},{"key":"ref9","article-title":"Conditional invertible flow for point cloud generation","author":"stypu?kowski","year":"2019"},{"key":"ref46","article-title":"Stochastic maximum likelihood optimization via hypernetworks","author":"sheikh","year":"2017"},{"key":"ref45","first-page":"393","article-title":"Sylvester normalizing flows for variational inference","author":"berg","year":"0"},{"key":"ref48","first-page":"1530","article-title":"Variational inference with normalizing flows","author":"rezende","year":"2015"},{"key":"ref47","article-title":"Getting topology and point cloud generation to mesh","volume":"abs 1912 3787","author":"dill","year":"2019","journal-title":"CoRR"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref41","first-page":"1","article-title":"Cramer-wold auto-encoder","volume":"21","author":"knop","year":"2020"},{"key":"ref44","first-page":"1214","article-title":"VAE with a VampPrior","author":"tomczak","year":"2018"},{"key":"ref43","article-title":"Adversarial autoencoders","author":"makhzani","year":"2015"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9940445\/09627800.pdf?arnumber=9627800","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T22:37:52Z","timestamp":1670279872000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9627800\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":53,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3131131","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,1]]}}}