{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:44:14Z","timestamp":1767321854863,"version":"3.48.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032131638","type":"print"},{"value":"9783032131645","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-3-032-13164-5_12","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:39:41Z","timestamp":1767321581000},"page":"191-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Protection and\u00a0Inheritance of\u00a0Cultural Heritage in\u00a0the\u00a0Digital Age: An AI-Driven Approach to\u00a0Hakka Cultural Heritage"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7127-7962","authenticated-orcid":false,"given":"Yuxin","family":"Fang","sequence":"first","affiliation":[]},{"given":"Ming","family":"Xie","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7588-4678","authenticated-orcid":false,"given":"Songling","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhongming","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"12_CR1","unstructured":"Goodfellow, I., et al., Generative adversarial networks. In: Proceedings of NeurIPS (2014)"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Rombach, R., et al.: High-resolution image synthesis with latent diffusion models. In: Proceedings of CVPR (2022)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"12_CR3","unstructured":"Yu, Y., et al.: Fashion design with AI: text-to-image generation using stable diffusion. In: Proceedings of SIGGRAPH (2022)"},{"key":"12_CR4","unstructured":"Ho, J., et al.: Denoising diffusion probabilistic models. In: NeurIPS (2020)"},{"key":"12_CR5","unstructured":"Rombach, R., et al.: Stable diffusion: text-to-image generation. arXiv (2022)"},{"key":"12_CR6","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: Proceedings of NeurIPS (2021)"},{"key":"12_CR7","unstructured":"Heusel, M., et al.: GANs trained by a two time-scale update rule converge to a local Nash equilibrium. In: NeurIPS (2017)"},{"key":"12_CR8","unstructured":"Mordvintsev, A., et al.: Inceptionism: going deeper into neural networks. Google AI Blog (2015)"},{"key":"12_CR9","unstructured":"Goodfellow, I., et al.: Generative adversarial networks. In: Proceedings of NeurIPS (2014)"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Karras, T., et al.: A style-based generator architecture for generative adversarial networks. In: IEEE Transactions on CVPR (2019)","DOI":"10.1109\/CVPR.2019.00453"},{"key":"12_CR11","unstructured":"Yu, Y., et al.: Fashion design with AI: text-to-image generation using stable diffusion. In: Proceedings of SIGGRAPH (2022)"},{"key":"12_CR12","unstructured":"Patel, A., et al.: Generative AI in architectural visualizations. In: Proceedings of AAAI (2021)"},{"key":"12_CR13","unstructured":"Zhou, S., et al.: Stable diffusion for generating realistic natural scenes. arXiv (2022)"},{"key":"12_CR14","unstructured":"Levoy, M., et al.: The digital Michelangelo project: 3D scanning of large-scale artworks. In: Proceedings of SIGGRAPH (2000)"},{"key":"12_CR15","unstructured":"Gupta, A., et al.: Scan the world: 3D digitization and digital preservation of cultural heritage. In: Digital Heritage Conference (2020)"},{"key":"12_CR16","unstructured":"Bertacchi, S., et al.: Virtual and augmented reality for intangible cultural heritage preservation. In: Proceedings of ICCV (2020)"},{"key":"12_CR17","unstructured":"Rombach, R., et al.: Stable diffusion: a latent diffusion model for text-to-image generation. In: Proceedings of NeurIPS (2021)"},{"key":"12_CR18","unstructured":"Zhang, H., et al.: ControlNet: a neural network for image generation control. AI J. (2023)"},{"key":"12_CR19","unstructured":"Karras, T., et al.: LoRA: low-rank adaptation for fine-tuning generative models. In: Proceedings of CVPR (2022)"},{"key":"12_CR20","unstructured":"CLIP Score: OpenAI, Contrastive Language-Image Pre-Training (2021)"},{"key":"12_CR21","unstructured":"Fr\u00e9chet, M., et al.: Fr\u00e9chet Inception Distance for Evaluating Generative Models (2020)"}],"container-title":["Lecture Notes in Computer Science","HCI International 2025 \u2013 Late Breaking Papers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-13164-5_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:39:44Z","timestamp":1767321584000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-13164-5_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032131638","9783032131645"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-13164-5_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","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":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}