{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:17Z","timestamp":1750220897313,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,17]],"date-time":"2019-11-17T00:00:00Z","timestamp":1573948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,17]]},"DOI":"10.1145\/3355088.3365151","type":"proceedings-article","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T21:18:24Z","timestamp":1573852704000},"page":"9-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Decomposition Method of Object Transfiguration"],"prefix":"10.1145","author":[{"given":"Seung Joon","family":"Lee","sequence":"first","affiliation":[{"name":"Sogang University, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keon-Woo","family":"Kang","sequence":"additional","affiliation":[{"name":"Sogang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suk-Ju","family":"Kang","sequence":"additional","affiliation":[{"name":"Sogang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyeong","family":"Lee","sequence":"additional","affiliation":[{"name":"NAVER LABS"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,11,17]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672\u20132680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672\u20132680."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"e_1_3_2_2_6_1","unstructured":"Sangwoo Mo Minsu Cho and Jinwoo Shin. 2018. InstaGAN: Instance-aware Image-to-Image Translation. arXiv preprint arXiv:1812.10889(2018).  Sangwoo Mo Minsu Cho and Jinwoo Shin. 2018. InstaGAN: Instance-aware Image-to-Image Translation. arXiv preprint arXiv:1812.10889(2018)."},{"key":"e_1_3_2_2_7_1","volume-title":"International journal of computer vision 40, 1","author":"Portilla Javier","year":"2000","unstructured":"Javier Portilla and Eero\u00a0 P Simoncelli . 2000. A parametric texture model based on joint statistics of complex wavelet coefficients . International journal of computer vision 40, 1 ( 2000 ), 49\u201370. Javier Portilla and Eero\u00a0P Simoncelli. 2000. A parametric texture model based on joint statistics of complex wavelet coefficients. International journal of computer vision 40, 1 (2000), 49\u201370."},{"key":"e_1_3_2_2_8_1","unstructured":"Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767(2018).  Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767(2018)."},{"key":"e_1_3_2_2_9_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014).  Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014)."},{"key":"e_1_3_2_2_10_1","volume-title":"Genegan: Learning object transfiguration and attribute subspace from unpaired data. arXiv preprint arXiv:1705.04932(2017).","author":"Zhou Shuchang","year":"2017","unstructured":"Shuchang Zhou , Taihong Xiao , Yi Yang , Dieqiao Feng , Qinyao He , and Weiran He . 2017 . Genegan: Learning object transfiguration and attribute subspace from unpaired data. arXiv preprint arXiv:1705.04932(2017). Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, and Weiran He. 2017. Genegan: Learning object transfiguration and attribute subspace from unpaired data. arXiv preprint arXiv:1705.04932(2017)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"}],"event":{"name":"SA '19: SIGGRAPH Asia 2019","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Brisbane QLD Australia","acronym":"SA '19"},"container-title":["SIGGRAPH Asia 2019 Technical Briefs"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3355088.3365151","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3355088.3365151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:40Z","timestamp":1750203880000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3355088.3365151"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,17]]},"references-count":11,"alternative-id":["10.1145\/3355088.3365151","10.1145\/3355088"],"URL":"https:\/\/doi.org\/10.1145\/3355088.3365151","relation":{},"subject":[],"published":{"date-parts":[[2019,11,17]]},"assertion":[{"value":"2019-11-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}