{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:29:49Z","timestamp":1771003789251,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T00:00:00Z","timestamp":1681862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"State Secretariat for Education, Research and Innovation (SERI) of Switzerland","award":["BB.2006.0023"],"award-info":[{"award-number":["BB.2006.0023"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,19]]},"DOI":"10.1145\/3544549.3585644","type":"proceedings-article","created":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T07:31:18Z","timestamp":1681975878000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6175-9200","authenticated-orcid":false,"given":"Richard Lee","family":"Davis","sequence":"first","affiliation":[{"name":"EPFL, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7440-9357","authenticated-orcid":false,"given":"Thiemo","family":"Wambsganss","sequence":"additional","affiliation":[{"name":"EPFL, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2224-6986","authenticated-orcid":false,"given":"Wei","family":"Jiang","sequence":"additional","affiliation":[{"name":"EPFL, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9839-2879","authenticated-orcid":false,"given":"Kevin Gonyop","family":"Kim","sequence":"additional","affiliation":[{"name":"ETH, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0672-0415","authenticated-orcid":false,"given":"Tanja","family":"K\u00e4ser","sequence":"additional","affiliation":[{"name":"EPFL, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9455-5119","authenticated-orcid":false,"given":"Pierre","family":"Dillenbourg","sequence":"additional","affiliation":[{"name":"EPFL, Switzerland"}]}],"member":"320","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"e_1_3_3_3_1_1","volume-title":"Advances in Neural Information Processing Systems, Vol.\u00a033. Curran Associates","author":"Brown Tom","year":"1877","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared\u00a0D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models Are Few-Shot Learners. In Advances in Neural Information Processing Systems, Vol.\u00a033. Curran Associates, Inc., 1877\u20131901."},{"key":"e_1_3_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/160940690600500107"},{"key":"e_1_3_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300619"},{"key":"e_1_3_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196709.3196732"},{"key":"e_1_3_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.21606\/drs.2022.265"},{"key":"e_1_3_3_3_6_1","first-page":"9841","article-title":"Ganspace: Discovering Interpretable Gan Controls","volume":"33","author":"H\u00e4rk\u00f6nen Erik","year":"2020","unstructured":"Erik H\u00e4rk\u00f6nen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris. 2020. Ganspace: Discovering Interpretable Gan Controls. Advances in Neural Information Processing Systems 33 (2020), 9841\u20139850.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/0142-694X(91)90003-F"},{"key":"e_1_3_3_3_8_1","volume-title":"Neural Design Space Exploration. In 35th Conference on Neural Information Processing Systems (NeurIPS","author":"Jiang Wei","year":"2021","unstructured":"Wei Jiang, Richard\u00a0Lee Davis, Kevin\u00a0Gonyop Kim, and Pierre Dillenbourg. 2021. Neural Design Space Exploration. In 35th Conference on Neural Information Processing Systems (NeurIPS 2021)."},{"key":"e_1_3_3_3_9_1","unstructured":"Wei Jiang Richard\u00a0Lee Davis Kevin\u00a0Gonyop Kim and Pierre Dillenbourg. 2022. GANs for All: Supporting Fun and Intuitive Exploration of GAN Latent Spaces. In NeurIPS 2021 Competitions and Demonstrations Track. PMLR 292\u2013296."},{"key":"e_1_3_3_3_10_1","first-page":"12104","article-title":"Training Generative Adversarial Networks with Limited Data","volume":"33","author":"Karras Tero","year":"2020","unstructured":"Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila. 2020. Training Generative Adversarial Networks with Limited Data. Advances in Neural Information Processing Systems 33 (2020), 12104\u201312114.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_3_11_1","volume-title":"A Style-Based Generator Architecture for Generative Adversarial Networks. arXiv:1812.04948 [cs, stat] (March","author":"Karras Tero","year":"2019","unstructured":"Tero Karras, Samuli Laine, and Timo Aila. 2019. A Style-Based Generator Architecture for Generative Adversarial Networks. arXiv:1812.04948 [cs, stat] (March 2019). arxiv:1812.04948\u00a0[cs, stat]"},{"key":"e_1_3_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501854"},{"key":"e_1_3_3_3_13_1","volume-title":"Kingma and Max Welling","author":"P.","year":"2013","unstructured":"Diederik\u00a0P. Kingma and Max Welling. 2013. Auto-Encoding Variational Bayes. arXiv preprint arXiv:1312.6114 (2013). arxiv:1312.6114"},{"key":"e_1_3_3_3_14_1","volume-title":"Focus Groups: A Practical Guide for Applied Research","author":"Krueger A.","year":"2014","unstructured":"Richard\u00a0A. Krueger. 2014. Focus Groups: A Practical Guide for Applied Research. Sage publications."},{"key":"e_1_3_3_3_15_1","volume-title":"Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC","author":"Lefakis Leonidas","year":"2018","unstructured":"Leonidas Lefakis, Alan Akbik, and Roland Vollgraf. 2018. Feidegger: A Multi-Modal Corpus of Fashion Images and Descriptions in German. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)."},{"key":"e_1_3_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjgh-2018-000837"},{"key":"e_1_3_3_3_17_1","volume-title":"International Conference on Machine Learning. PMLR, 8748\u20138763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, and Jack Clark. 2021. Learning Transferable Visual Models from Natural Language Supervision. In International Conference on Machine Learning. PMLR, 8748\u20138763."},{"key":"e_1_3_3_3_18_1","volume-title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arXiv preprint arXiv:1511.06434","author":"Radford Alec","year":"2015","unstructured":"Alec Radford, Luke Metz, and Soumith Chintala. 2015. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arXiv preprint arXiv:1511.06434 (2015). arxiv:1511.06434"},{"key":"e_1_3_3_3_19_1","volume-title":"Zero-Shot Text-to-Image Generation. In International Conference on Machine Learning. PMLR, 8821\u20138831","author":"Ramesh Aditya","year":"2021","unstructured":"Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-Shot Text-to-Image Generation. In International Conference on Machine Learning. PMLR, 8821\u20138831."},{"key":"e_1_3_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15327590ijhc2002_1"},{"key":"e_1_3_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/136455700405172"}],"event":{"name":"CHI '23: CHI Conference on Human Factors in Computing Systems","location":"Hamburg Germany","acronym":"CHI '23","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544549.3585644","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3544549.3585644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:34Z","timestamp":1750178794000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544549.3585644"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,19]]},"references-count":22,"alternative-id":["10.1145\/3544549.3585644","10.1145\/3544549"],"URL":"https:\/\/doi.org\/10.1145\/3544549.3585644","relation":{},"subject":[],"published":{"date-parts":[[2023,4,19]]},"assertion":[{"value":"2023-04-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}