{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:38:20Z","timestamp":1777995500815,"version":"3.51.4"},"reference-count":45,"publisher":"Tsinghua University Press","issue":"4","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62441222"],"award-info":[{"award-number":["62441222"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Comp. Visual. Med."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.26599\/cvm.2025.9450489","type":"journal-article","created":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T17:41:37Z","timestamp":1756489297000},"page":"745-761","source":"Crossref","is-referenced-by-count":3,"title":["TexPro: Text-Guided PBR Texturing with Procedural Material Modeling"],"prefix":"10.26599","volume":"11","author":[{"given":"Ziqiang","family":"Dang","sequence":"first","affiliation":[{"name":"Zhejiang University,State Key Lab of CAD&CG,Hangzhou,China,310058"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqi","family":"Dong","sequence":"additional","affiliation":[{"name":"Zhejiang University,State Key Lab of CAD&CG,Hangzhou,China,310058"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zesong","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang University,State Key Lab of CAD&CG,Hangzhou,China,310058"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bangbang","family":"Yang","sequence":"additional","affiliation":[{"name":"Pico, ByteDance Inc.,Shanghai,China,200235"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Media Engineering, Communication University of Zhejiang,Hangzhou,China,310018"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuewen","family":"Ma","sequence":"additional","affiliation":[{"name":"Pico, ByteDance Inc.,Shanghai,China,200235"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaopeng","family":"Cui","sequence":"additional","affiliation":[{"name":"Zhejiang University,State Key Lab of CAD&CG,Hangzhou,China,310058"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01701"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591503"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417781"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3592132"},{"key":"ref7","article-title":"Matcher: Segment anything with one shot using all-purpose feature matching","author":"Liu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275066"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530088"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_54"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073610"},{"key":"ref12","article-title":"Hierarchical text-conditional image generation with clip latents","author":"Ramesh","year":"2022","journal-title":"arXiv preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3550469.3555392"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01313"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00388"},{"key":"ref16","article-title":"SceneScape: Text-driven consistent scene generation","author":"Fridman","year":"2023","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00727"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3361502"},{"key":"ref19","article-title":"Re-imagine the negative prompt algorithm: Transform 2D diffusion into 3D, alleviate Janus problem and beyond","author":"Armandpour","year":"2023","journal-title":"arXiv preprint"},{"key":"ref20","article-title":"Physically based shading at Disney","volume-title":"Proceedings of the ACM SIGGRAPH","author":"Burley","year":"2012"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356516"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530733"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530173"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591520"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275109"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356498"},{"key":"ref27","volume-title":"Mitsuba 3 renderer","author":"Jakob","year":"2022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417861"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392383"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01534-z"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20074-8_7"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2025.3597476"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01263"},{"key":"ref34","article-title":"Objaverse-XL: A universe of 10M+ 3D objects","author":"Deitke","year":"2023","journal-title":"arXiv preprint"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322959"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417806"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00317"},{"key":"ref38","volume-title":"Adobe Substance Designer","year":"2024"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.759"},{"key":"ref40","article-title":"Language models are few-shot learners","author":"Brown","year":"2020","journal-title":"arXiv preprint"},{"key":"ref41","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv preprint"},{"key":"ref42","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref44","volume-title":"Haven P. HDR Is","year":"2024"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00416"}],"container-title":["Computational Visual Media"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10750449\/11184717\/11145197.pdf?arnumber=11145197","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T05:11:50Z","timestamp":1759295510000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11145197\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":45,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.26599\/cvm.2025.9450489","relation":{},"ISSN":["2096-0662","2096-0433"],"issn-type":[{"value":"2096-0662","type":"electronic"},{"value":"2096-0433","type":"print"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}