{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:23:26Z","timestamp":1740169406684,"version":"3.37.3"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3476933","type":"journal-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T17:52:26Z","timestamp":1728496346000},"page":"150468-150484","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Scheme for Managing Multiple Context Transitions While Ensuring Consistency in Text-to-Image Generative Artificial Intelligence"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6963-8502","authenticated-orcid":false,"given":"Hyunjo","family":"Kim","sequence":"first","affiliation":[{"name":"School of Cybersecurity, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6664-7810","authenticated-orcid":false,"given":"Jae-Ho","family":"Choi","sequence":"additional","affiliation":[{"name":"MCCAAI Company Ltd., Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8100-7583","authenticated-orcid":false,"given":"Jin-Young","family":"Choi","sequence":"additional","affiliation":[{"name":"School of Cybersecurity, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence","author":"Clune","year":"2019","journal-title":"arXiv:1905.10985"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-020-0494-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.07.019"},{"key":"ref4","article-title":"Text-to-image diffusion models in generative AI: A survey","author":"Zhang","year":"2023","journal-title":"arXiv:2303.07909"},{"key":"ref5","first-page":"8821","article-title":"Zero-shot text-to-image generation","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Ramesh"},{"volume-title":"Hello GPT-4","year":"2023","key":"ref6"},{"key":"ref7","article-title":"Scaling autoregressive models for content-rich text-to-image generation","author":"Yu","year":"2022","journal-title":"arXiv:2206.10789"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3368871"},{"volume-title":"Text-to-Image Context Management: ICF, RCF, and Scrm Algorithms\u2014Public Repository","year":"2024","author":"Kim","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5040\/9781838710590.0021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.14569\/SpecialIssue.2014.040109"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3129786"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2655"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1041"},{"key":"ref15","article-title":"Unsupervised sentence simplification using deep semantics","author":"Narayan","year":"2015","journal-title":"arXiv:1507.08452"},{"key":"ref16","first-page":"11058","article-title":"Selecting optimal context sentences for event-event relation extraction","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Trong"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2785283"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01162"},{"article-title":"Optimizing prompts for text-to-image generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hao","key":"ref19"},{"key":"ref20","article-title":"Generating images from captions with attention","author":"Mansimov","year":"2015","journal-title":"arXiv:1511.02793"},{"key":"ref21","first-page":"1060","article-title":"Generative adversarial text to image synthesis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Reed"},{"article-title":"Controllable text-to-image generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00143"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.629"},{"key":"ref25","article-title":"GLIDE: Towards photorealistic image generation and editing with text-guided diffusion models","author":"Nichol","year":"2021","journal-title":"arXiv:2112.10741"},{"key":"ref26","first-page":"36479","article-title":"Photorealistic text-to-image diffusion models with deep language understanding","volume-title":"Proc. NIPS","volume":"35","author":"Saharia"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref28","article-title":"Hierarchical text-conditional image generation with CLIP latents","author":"Ramesh","year":"2022","journal-title":"arXiv:2204.06125"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3341437"},{"issue":"2","key":"ref30","first-page":"143","article-title":"Intimate crip self-portraits brought to life in partnership with craiyon (DALL-E mini)","volume":"2","author":"Panton","year":"2022","journal-title":"Can. J. Theol., Mental Health Disab."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"ref32","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Radford"},{"key":"ref33","article-title":"VersaT2I: Improving text-to-image models with versatile reward","author":"Guo","year":"2024","journal-title":"arXiv:2403.18493"},{"article-title":"Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Yang","key":"ref34"},{"article-title":"ImageReward: Learning and evaluating human preferences for text-to-image generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xu","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3382753"},{"key":"ref37","article-title":"Muse: Text-to-image generation via masked generative transformers","author":"Chang","year":"2023","journal-title":"arXiv:2301.00704"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2902431"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01366"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581402"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501825"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.08.153"},{"key":"ref43","article-title":"The faiss library","author":"Douze","year":"2024","journal-title":"arXiv:2401.08281"},{"key":"ref44","first-page":"74","article-title":"ROUGE: A package for automatic evaluation of summaries","volume-title":"Text Summarization Branches Out","author":"Lin","year":"2004"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10711176.pdf?arnumber=10711176","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:48:19Z","timestamp":1732668499000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10711176\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3476933","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}