{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T11:21:14Z","timestamp":1757589674471,"version":"3.41.0"},"reference-count":37,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2015,11,2]],"date-time":"2015-11-02T00:00:00Z","timestamp":1446422400000},"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":["ACM Trans. Graph."],"published-print":{"date-parts":[[2015,11,4]]},"abstract":"<jats:p>\n            Assigning textures and materials within 3D scenes is a tedious and labor-intensive task. In this paper, we present\n            <jats:italic>Magic Decorator<\/jats:italic>\n            , a system that automatically generates material suggestions for 3D indoor scenes. To achieve this goal, we introduce\n            <jats:italic>local material rules<\/jats:italic>\n            , which describe typical material patterns for a small group of objects or parts, and\n            <jats:italic>global aesthetic rules<\/jats:italic>\n            , which account for the harmony among the entire set of colors in a specific scene. Both rules are obtained from collections of indoor scene images. We cast the problem of material suggestion as a combinatorial optimization considering both local material and global aesthetic rules. We have tested our system on various complex indoor scenes. A user study indicates that our system can automatically and efficiently produce a series of visually plausible material suggestions which are comparable to those produced by artists.\n          <\/jats:p>","DOI":"10.1145\/2816795.2818096","type":"journal-article","created":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T12:36:39Z","timestamp":1445949399000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":41,"title":["Magic decorator"],"prefix":"10.1145","volume":"34","author":[{"given":"Kang","family":"Chen","sequence":"first","affiliation":[{"name":"Tsinghua University, Beijing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Xu","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yizhou","family":"Yu","sequence":"additional","affiliation":[{"name":"The University of Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian-Yi","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi-Min","family":"Hu","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,11,2]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360639"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJCVR.2011.045267"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2462002"},{"key":"e_1_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Bell S. Upchurch P. Snavely N. and Bala K. 2015. Material recognition in the wild with the materials in context database. Computer Vision and Pattern Recognition (CVPR).  Bell S. Upchurch P. Snavely N. and Bala K. 2015. Material recognition in the wild with the materials in context database. Computer Vision and Pattern Recognition (CVPR).","DOI":"10.1109\/CVPR.2015.7298970"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1730804.1730833"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508378"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661239"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2070781.2024190"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141933"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-011-0657-9"},{"volume-title":"CVPR. Workshops, 2010 IEEE Computer Society Conference on, 1--8.","author":"Endres I.","key":"e_1_2_2_11_1","unstructured":"Endres , I. , Farhadi , A. , Hoiem , D. , and Forsyth , D . 2010. The benefits and challenges of collecting richer object annotations . In CVPR. Workshops, 2010 IEEE Computer Society Conference on, 1--8. Endres, I., Farhadi, A., Hoiem, D., and Forsyth, D. 2010. The benefits and challenges of collecting richer object annotations. In CVPR. Workshops, 2010 IEEE Computer Society Conference on, 1--8."},{"volume-title":"Eurographics 2014-State of the Art Reports","author":"Faridul H. S.","key":"e_1_2_2_12_1","unstructured":"Faridul , H. S. , Pouli , T. , Chamaret , C. , Stauder , J. , Tr\u00e9meau , A. , Reinhard , E. , A survey of color mapping and its applications . In Eurographics 2014-State of the Art Reports , The Eurographics Association , 43--67. Faridul, H. S., Pouli, T., Chamaret, C., Stauder, J., Tr\u00e9meau, A., Reinhard, E., et al. 2014. A survey of color mapping and its applications. In Eurographics 2014-State of the Art Reports, The Eurographics Association, 43--67."},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1882261.1866204"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366154"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12498"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766890"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366162"},{"key":"e_1_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Kirkpatrick S. Gelatt C. D. and Vecchi M. P. 1983. Optimization by simulated annealing. SCIENCE 220 4598 671--680.  Kirkpatrick S. Gelatt C. D. and Vecchi M. P. 1983. Optimization by simulated annealing. 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