{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:28:10Z","timestamp":1759364890545,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032061287","type":"print"},{"value":"9783032061294","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:00:00Z","timestamp":1759363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:00:00Z","timestamp":1759363200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-06129-4_42","type":"book-chapter","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T04:52:44Z","timestamp":1759294364000},"page":"516-520","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Future Designer - Generative AI Meets Interior Design"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8415-8771","authenticated-orcid":false,"given":"Filip","family":"Nowicki","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9179-7348","authenticated-orcid":false,"given":"Arkadiusz","family":"Charli\u0144ski","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1385-6572","authenticated-orcid":false,"given":"Andrzej","family":"W\u00f3jtowicz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,2]]},"reference":[{"key":"42_CR1","unstructured":"Podell et al.: Sdxl: improving latent diffusion models for high-resolution image synthesis. In: The Twelfth International Conference on Learning Representations (2023)"},{"key":"42_CR2","unstructured":"Zhao et al.: Uni-controlnet: all-in-one control to text-to-image diffusion models. Adv. Neural Inf. Process. Syst. 36, 11127\u201311150..0 (2023)"},{"key":"42_CR3","unstructured":"Zheng et al.: Trajectory consistency distillation: improved latent consistency distillation by semi-linear consistency function with trajectory mapping. arXiv preprint arXiv:2402.19159 (2024)"},{"key":"42_CR4","unstructured":"Ye et al.: Ip-adapter: text compatible image prompt adapter for text-to-image diffusion models. arXiv preprint arXiv:2308.06721 (2023)"},{"key":"42_CR5","unstructured":"Yang, L., et al.: Depth anything v2. Adv. Neural Inf. Process. Syst. 37, 21875\u201321911 (2024)"},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"Liu et al.: Grounding dino: marrying dino with grounded pre-training for open-set object detection. In: European Conference on Computer Vision. Springer, Cham (2024)","DOI":"10.1007\/978-3-031-72970-6_3"},{"key":"42_CR7","unstructured":"Ravi et al.: Sam 2: segment anything in images and videos. In: The Thirteenth International Conference on Learning Representations (2024)"},{"key":"42_CR8","unstructured":"Wang et al.: Qwen2-vl: enhancing vision-language model\u2019s perception of the world at any resolution. arXiv preprint arXiv:2409.12191 (2024)"},{"key":"42_CR9","unstructured":"Hu et al.: Lora: low-rank adaptation of large language models. In: International Conference on Learning Representations (2022)"},{"key":"42_CR10","doi-asserted-by":"crossref","unstructured":"Hessel et al.: Clipscore: a reference-free evaluation metric for image captioning. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 7514\u20137528 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.595"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-06129-4_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T04:52:48Z","timestamp":1759294368000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-06129-4_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,2]]},"ISBN":["9783032061287","9783032061294"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-06129-4_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,2]]},"assertion":[{"value":"2 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Porto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecmlpkdd.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}