{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T01:38:45Z","timestamp":1774402725177,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"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":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tpami.2023.3319429","type":"journal-article","created":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T17:48:36Z","timestamp":1695750516000},"page":"14563-14574","source":"Crossref","is-referenced-by-count":15,"title":["Fine Detailed Texture Learning for 3D Meshes With Generative Models"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2014-6325","authenticated-orcid":false,"given":"Aysegul","family":"Dundar","sequence":"first","affiliation":[{"name":"Department of Computer Science, Bilkent University, Ankara, Turkey"}]},{"given":"Jun","family":"Gao","sequence":"additional","affiliation":[{"name":"NVIDIA, Santa Clara, CA, USA"}]},{"given":"Andrew","family":"Tao","sequence":"additional","affiliation":[{"name":"NVIDIA, Santa Clara, CA, USA"}]},{"given":"Bryan","family":"Catanzaro","sequence":"additional","affiliation":[{"name":"NVIDIA, Santa Clara, CA, USA"}]}],"member":"263","reference":[{"key":"ref13","article-title":"StyleNeRF: A style-based 3D-aware generator for high-resolution image synthesis","author":"gu","year":"2021"},{"key":"ref12","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref56","article-title":"Image GANs meet differentiable rendering for inverse graphics and interpretable 3D neural rendering","author":"zhang","year":"2020","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00666"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2014.6836101"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_6"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00721"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00125"},{"key":"ref54","first-page":"7354","article-title":"Self-attention generative adversarial networks","author":"zhang","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_18"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00752"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_23"},{"key":"ref51","article-title":"Caltech-UCSD Birds 200","author":"welinder","year":"2010"},{"key":"ref50","article-title":"NeRF–: Neural radiance fields without known camera parameters","author":"wang","year":"2021"},{"key":"ref46","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.30"},{"key":"ref48","first-page":"27171","article-title":"NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction","author":"wang","year":"2021","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_54"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_31"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00306"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00618"},{"key":"ref49","first-page":"5014","article-title":"Few-shot video-to-video synthesis","author":"wang","year":"2019","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00809"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"ref9","first-page":"3883","article-title":"Unsupervised disentanglement of pose, appearance and background from images and videos","volume":"44","author":"dundar","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01565"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00602"},{"key":"ref6","first-page":"9609","article-title":"Learning to predict 3D objects with an interpolation-based differentiable renderer","author":"chen","year":"2019","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00574"},{"key":"ref40","article-title":"Accelerating 3D deep learning with PyTorch3D","author":"ravi","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01129"},{"key":"ref34","first-page":"7588","article-title":"HoloGAN: Unsupervised learning of 3D representations from natural images","author":"nguyen-phuoc","year":"2019","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206633"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00356"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00713"},{"key":"ref30","first-page":"14081","article-title":"Neural FFTs for universal texture image synthesis","author":"mardani","year":"2020","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00705"},{"key":"ref32","first-page":"405","article-title":"NeRF: Representing scenes as neural radiance fields for view synthesis","author":"mildenhall","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00875"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00453"},{"key":"ref39","article-title":"Convolutional generation of textured 3D meshes","author":"pavllo","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_40"},{"key":"ref23","article-title":"Online adaptation for consistent mesh reconstruction in the wild","author":"li","year":"2020"},{"key":"ref26","first-page":"700","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref25","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00084"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00411"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_11"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00780"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01121"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10308548\/10264113.pdf?arnumber=10264113","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:45:53Z","timestamp":1701114353000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10264113\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":56,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3319429","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":[[2023,12]]}}}