{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:35:56Z","timestamp":1740101756259,"version":"3.37.3"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002888","name":"Beijing Municipal Commission of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002888","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003444","name":"Beijing University of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003444","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10096351","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["G<sup>2<\/sup>CNN: Geometric Prior Based GCNN for Single-View 3D Reconstruction with Loop Subdivision"],"prefix":"10.1109","author":[{"given":"Kun","family":"Cao","sequence":"first","affiliation":[{"name":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"}]},{"given":"Na","family":"Qi","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"}]},{"given":"Wei","family":"Xu","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"}]},{"given":"Qing","family":"Zhu","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"}]},{"given":"Shibo","family":"Xu","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"}]},{"given":"Changxin","family":"Pan","sequence":"additional","affiliation":[{"name":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Geometrics: Exploiting geometric structure for graph-encoded objects","author":"smith","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00467"},{"key":"ref15","first-page":"4455","article-title":"Occupancy networks: Learning 3d reconstruction in function space","author":"mescheder","year":"2018","journal-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01006"},{"key":"ref11","article-title":"Point-net++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"NIPS"},{"key":"ref10","first-page":"77","article-title":"Pointnet: Deep learning on point sets for 3d classifi-cation and segmentation","author":"qi","year":"2016","journal-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459671"},{"key":"ref1","article-title":"Learning representations and generative models for 3d point clouds","author":"achlioptas","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref17","first-page":"10241","article-title":"D2im-net: Learning detail disentangled implicit fields from single images","author":"li","year":"2020","journal-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref16","article-title":"Disn: Deep implicit surface network for high-quality single-view 3d reconstruction","author":"xu","year":"2019","journal-title":"Neural Information Processing Systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2984232"},{"key":"ref18","first-page":"4856","article-title":"Local deep implicit functions for 3d shape","author":"genova","year":"2019","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref24","first-page":"3907","article-title":"Neural 3d mesh renderer","author":"kato","year":"2017","journal-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref23","article-title":"3d-r2n2: A unified approach for single and multi-view 3d object reconstruction","author":"choy","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073599"},{"key":"ref20","article-title":"Dsg-net: Learning disentangled structure and geometry for 3d shape generation","author":"yang","year":"2020","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1185657.1185664"},{"article-title":"Smooth subdivision surfaces based on triangles","year":"1987","author":"loop","key":"ref21"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2015.9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_40"},{"key":"ref9","first-page":"2463","article-title":"A point set generation network for 3d object reconstruction from a single image","author":"fan","year":"2016","journal-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref4","article-title":"Deepmesh: Differentiable iso-surface extraction","author":"guillard","year":"2021","journal-title":"ArXiv"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054674"},{"key":"ref6","article-title":"Generative and discriminative voxel modeling with convolutional neural networks","author":"brock","year":"2016","journal-title":"ArXiv"},{"article-title":"Unsupervised learning of 3d structure from images","year":"2016","author":"rezende","key":"ref5"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10096351.pdf?arnumber=10096351","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T18:57:27Z","timestamp":1699901847000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096351\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096351","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}