{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T06:48:41Z","timestamp":1782283721635,"version":"3.54.5"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tvcg.2026.3668900","type":"journal-article","created":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T20:49:03Z","timestamp":1772225343000},"page":"5360-5371","source":"Crossref","is-referenced-by-count":0,"title":["A Text-to-3D Framework for Joint Generation of CG-Ready Humans and Compatible Garments"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6377-7103","authenticated-orcid":false,"given":"Zhiyao","family":"Sun","sequence":"first","affiliation":[{"name":"MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6195-9782","authenticated-orcid":false,"given":"Yu-Hui","family":"Wen","sequence":"additional","affiliation":[{"name":"MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4298-5229","authenticated-orcid":false,"given":"Ho-Jui","family":"Fang","sequence":"additional","affiliation":[{"name":"MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9280-6279","authenticated-orcid":false,"given":"Sheng","family":"Ye","sequence":"additional","affiliation":[{"name":"MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4265-6830","authenticated-orcid":false,"given":"Matthieu","family":"Lin","sequence":"additional","affiliation":[{"name":"MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3726-0530","authenticated-orcid":false,"given":"Tian","family":"Lv","sequence":"additional","affiliation":[{"name":"MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5774-1916","authenticated-orcid":false,"given":"Yong-Jin","family":"Liu","sequence":"additional","affiliation":[{"name":"MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"DreamFusion: Text-to-3D using 2D diffusion","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Poole","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00037"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612022"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72943-0_22"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref7","first-page":"10516","article-title":"Dreamhuman: Animatable 3D avatars from text","volume-title":"Proc. Adv. Neural Inf. Process. Syst. 36st, Annu. Conf. Neural Inf. Process. Syst.","author":"Kolotouros","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.00635"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3658147"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/3DV66043.2025.00134"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/3DV66043.2025.00131"},{"key":"ref12","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01123"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530094"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/3dv62453.2024.00150"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2025.3586284"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72698-9_2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2026.3663253"},{"key":"ref20","first-page":"6087","article-title":"Deep marching tetrahedra: A hybrid representation for high-resolution 3D shape synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Shen","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02451"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20062-5_33"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00278"},{"key":"ref24","first-page":"8138","article-title":"AIpparel: A large multimodal generative model for digital garments","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Nakayama","year":"2024"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72933-1_24"},{"key":"ref26","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591503"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01701"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00407"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3680528.3687621"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i6.32621"},{"key":"ref32","article-title":"Hunyuan3D 2.0: Scaling diffusion models for high resolution textured 3D assets generation","author":"Zhao","year":"2025"},{"key":"ref33","first-page":"12606","article-title":"Scaling rectified flow transformers for high-resolution image synthesis","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Esser","year":"2024"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530141"},{"key":"ref35","first-page":"1","article-title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417861"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00623"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00609"},{"key":"ref39","first-page":"1","article-title":"SDXL: Improving latent diffusion models for high-resolution image synthesis","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Podell","year":"2024"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i6.32621"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00625"},{"key":"ref43","first-page":"1","article-title":"SDEdit: Guided image synthesis and editing with stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Meng","year":"2022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0491"},{"key":"ref45","article-title":"GPT-4o system card","author":"Hurst","year":"2024"},{"key":"ref46","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-23052-9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01100"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00126"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/2945\/11575570\/11415416.pdf?arnumber=11415416","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T06:03:57Z","timestamp":1782281037000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11415416\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":49,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2026.3668900","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}