{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T23:14:47Z","timestamp":1776122087107,"version":"3.50.1"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1109\/tvcg.2023.3327168","type":"journal-article","created":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T17:53:15Z","timestamp":1698256395000},"page":"1-11","source":"Crossref","is-referenced-by-count":101,"title":["PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1418-4635","authenticated-orcid":false,"given":"Yingchaojie","family":"Feng","sequence":"first","affiliation":[{"name":"State Key Lab of CAD&CG, Zhejiang University, China"}]},{"given":"Xingbo","family":"Wang","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2813-1972","authenticated-orcid":false,"given":"Kam Kwai","family":"Wong","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology, Hong Kong"}]},{"given":"Sijia","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&CG, Zhejiang University, China"}]},{"given":"Yuhong","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&CG, Zhejiang University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6711-3099","authenticated-orcid":false,"given":"Minfeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}]},{"given":"Baicheng","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&CG, Zhejiang University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8365-4741","authenticated-orcid":false,"given":"Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&CG, Zhejiang University, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.01140"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3209425"},{"key":"ref3","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. NeurIPS","volume":"33","author":"Brown","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2006.187"},{"key":"ref5","article-title":"Adapting pretrained vision-language foundational models to medical imaging domains","author":"Chambon","year":"2022","journal-title":"arXiv"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2021.3138933"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517485"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw53098.2021.00054"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2617588"},{"key":"ref10","first-page":"4171","article-title":"BERT: pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. NAACL-HLT","author":"Devlin"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s12650-021-00780-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2023.3240003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2807442.2807478"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.295"},{"key":"ref15","article-title":"Optimizing prompts for text-to-image generation","author":"Hao","year":"2022","journal-title":"arXiv"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3326586"},{"key":"ref17","article-title":"Imagen video: High definition video generation with diffusion models","author":"Ho","year":"2022","journal-title":"arXiv"},{"key":"ref18","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NeurIPS","volume":"33","author":"Ho","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00324"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"ref21","article-title":"Multiviz: Towards visualizing and understanding multimodal models","volume-title":"Proc. ICLR","author":"Liang","year":"2022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2020.3030370"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501825"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545621"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-13-275"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/1118108.1118117"},{"key":"ref27","article-title":"Multi-level tree based approach for interactive graph visualization with semantic zoom","author":"Luca","year":"2019","journal-title":"arXiv"},{"key":"ref28","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. NeurIPS","volume":"30","author":"Lundberg","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2021.3114876"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2016.12.009"},{"key":"ref31","first-page":"281","article-title":"Classification and analysis of multivariate observations","volume-title":"5th Berkeley Symp. Math. Statist. Probability","author":"MacQueen"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/mra.2012.2192811"},{"key":"ref33","first-page":"16784","article-title":"Glide: Towards photorealistic image generation and editing with text-guided diffusion models","volume-title":"Proc. ICML","volume":"162","author":"Nichol"},{"key":"ref34","first-page":"2303","article-title":"GPT-4 technical report","year":"2023","journal-title":"arXiv"},{"key":"ref35","article-title":"Prompt engineering for text-based generative art","author":"Oppenlaender","year":"2022","journal-title":"arXiv"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/0144929x.2023.2286532"},{"key":"ref37","article-title":"Training language models to follow instructions with human feedback","author":"Ouyang","year":"2022","journal-title":"arXiv"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591500"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_36"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/166117.166125"},{"key":"ref41","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. ICML","volume":"139","author":"Radford"},{"key":"ref42","article-title":"Hierarchical text-conditional image generation with clip latents","author":"Ramesh","year":"2022","journal-title":"arXiv"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01042"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.208"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.185"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.346"},{"key":"ref47","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. ICML","volume":"37","author":"Sohl-Dickstein"},{"key":"ref48","article-title":"Denoising diffusion implicit models","volume-title":"Proc. ICLR","author":"Song","year":"2021"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1108\/00220410410560573"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/mcg.2020.2986902"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3209479"},{"issue":"11","key":"ref52","article-title":"Visualizing data using t-sne","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"Journal of machine learning research"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25353"},{"key":"ref54","article-title":"Interactive data analysis with next-step natural language query recommendation","author":"Wang","year":"2022","journal-title":"arXiv"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2021.3114794"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-023-2691-y"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581402"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.51"},{"key":"ref59","article-title":"Towards an understanding and explanation for mixed-initiative artificial scientific text detection","author":"Weng","year":"2023","journal-title":"arXiv"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2023.3245609"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3519729"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517582"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3209423"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2835485"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/VAST.2006.261425"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2021.3128157"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2012.6247789"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3169175"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2019.2934656"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.629"},{"key":"ref71","article-title":"Adding conditional control to text-to-image diffusion models","author":"Zhang","year":"2023","journal-title":"arXiv"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2011.2109730"},{"key":"ref73","article-title":"Scrolltimes: Tracing the provenance of paintings as a window into history","author":"Zhang","year":"2023","journal-title":"arXiv"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3209483"},{"key":"ref75","article-title":"Computational approaches for traditional chinese painting: From the \u201csix principles of painting\u201d perspective","author":"Zhang","year":"2023","journal-title":"arXiv"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3209391"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.visinf.2021.06.002"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00595"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/4359476\/10296017.pdf?arnumber=10296017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T04:38:12Z","timestamp":1705034292000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10296017\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":78,"URL":"https:\/\/doi.org\/10.1109\/tvcg.2023.3327168","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":[[2023]]}}}