{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:34:20Z","timestamp":1782315260573,"version":"3.54.5"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Comput. Grap. Appl."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/mcg.2025.3553494","type":"journal-article","created":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T00:38:09Z","timestamp":1742603889000},"page":"57-68","source":"Crossref","is-referenced-by-count":1,"title":["Should I Render or Should AI Generate? Crafting Synthetic Semantic Segmentation Datasets With Controlled Generation"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6042-3588","authenticated-orcid":false,"given":"Omar A.","family":"Mures","sequence":"first","affiliation":[{"name":"Universidade da Coru&#x00F1;a, A Coru&#x00F1;a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2890-056X","authenticated-orcid":false,"given":"Manuel","family":"Silva","sequence":"additional","affiliation":[{"name":"Universidade da Coru&#x00F1;a, A Coru&#x00F1;a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1285-6326","authenticated-orcid":false,"given":"Manuel","family":"Lij\u00f3-Sanchez","sequence":"additional","affiliation":[{"name":"CITIC, Universidade da Coru&#x00F1;a, A Coru&#x00F1;a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6864-3737","authenticated-orcid":false,"given":"Emilio J.","family":"Padr\u00f3n","sequence":"additional","affiliation":[{"name":"Universidade da Coru&#x00F1;a, A Coru&#x00F1;a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0817-1010","authenticated-orcid":false,"given":"Jose A.","family":"Iglesias-Guitian","sequence":"additional","affiliation":[{"name":"Universidade da Coru&#x00F1;a, A Coru&#x00F1;a, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Ho","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref3","article-title":"Image retrieval outperforms diffusion models on data augmentation","author":"Burg","year":"2023","journal-title":"IEEE Trans. Mach. Learn. Res."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00077"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00117"},{"key":"ref6","first-page":"76872","article-title":"Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation","volume-title":"Proc. 37th Int. Conf. Neural Inf. Process. Syst.","author":"Nguyen","year":"2023"},{"key":"ref7","first-page":"54683","article-title":"DatasetDM: Synthesizing data with perception annotations using diffusion models","volume-title":"Proc. 37th Int. Conf. Neural Inf. Process. Syst.","author":"Wu","year":"2023"},{"key":"ref8","article-title":"Effective data augmentation with diffusion models","author":"Trabucco","year":"2023"},{"key":"ref9","first-page":"18659","article-title":"FreeMask: Synthetic images with dense annotations make stronger segmentation models","volume-title":"Proc. 37th Int. Conf. Neural Inf. Process. Syst.","author":"Yang","year":"2024"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01059"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02068"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref14","article-title":"Synscapes: A photorealistic synthetic dataset for street scene parsing","author":"Wrenninge","year":"2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref18","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":"ref19","first-page":"12888","article-title":"BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28226"},{"key":"ref21","article-title":"SDXL: Improving latent diffusion models for high-resolution image synthesis","author":"Podell","year":"2023","journal-title":"Proc. 12th Int. Conf. Learn. Represent."},{"key":"ref22","first-page":"15903","article-title":"ImageReward: Learning and evaluating human preferences for text-to-image generation","volume-title":"Proc. 37th Int. Conf. Neural Inf. Process. Syst.","author":"Xu","year":"2023"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"}],"container-title":["IEEE Computer Graphics and Applications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/38\/11033403\/10937140.pdf?arnumber=10937140","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T17:51:16Z","timestamp":1749837076000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10937140\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":23,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/mcg.2025.3553494","relation":{},"ISSN":["0272-1716","1558-1756"],"issn-type":[{"value":"0272-1716","type":"print"},{"value":"1558-1756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}