{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:04:30Z","timestamp":1740107070698,"version":"3.37.3"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2018,8,17]],"date-time":"2018-08-17T00:00:00Z","timestamp":1534464000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s00371-018-1586-7","type":"journal-article","created":{"date-parts":[[2018,8,17]],"date-time":"2018-08-17T13:08:25Z","timestamp":1534511305000},"page":"271-279","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Deep 3D semantic scene extrapolation"],"prefix":"10.1007","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4681-5101","authenticated-orcid":false,"given":"Ali","family":"Abbasi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sinan","family":"Kalkan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusuf","family":"Sahillio\u011flu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,17]]},"reference":[{"key":"1586_CR1","unstructured":"Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Man\u00e9, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Vi\u00e9gas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: TensorFlow: large-scale machine learning on heterogeneous systems. Software available from tensorflow.org (2015)"},{"key":"1586_CR2","first-page":"1","volume":"52","author":"H Averbuch-Elor","year":"2017","unstructured":"Averbuch-Elor, H., Kopf, J., Hazan, T., Cohen-Or, D.: Co-segmentation for space-time co-located collections. Vis. Comput. 52, 1\u201312 (2017)","journal-title":"Vis. Comput."},{"issue":"2","key":"1586_CR3","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1109\/34.121791","volume":"14","author":"PJ Besl","year":"1992","unstructured":"Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal, Mach. Intell. 14(2), 239\u2013256 (1992)","journal-title":"IEEE Trans. Pattern Anal, Mach. Intell."},{"key":"1586_CR4","first-page":"113","volume-title":"Computer Graphics Forum","author":"S Bouaziz","year":"2013","unstructured":"Bouaziz, S., Tagliasacchi, A., Pauly, M.: Sparse iterative closest point. In: Rushmeier, H., Deussen, O. (eds.) Computer Graphics Forum, vol. 32, pp. 113\u2013123. Wiley Online Library, New York (2013)"},{"key":"1586_CR5","doi-asserted-by":"crossref","unstructured":"Dai, A., Qi, C.R., Nie\u00dfner, M.: Shape completion using 3D-encoder-predictor CNNS and shape synthesis. arXiv preprint \n                    arXiv:1612.00101\n                    \n                   (2016)","DOI":"10.1109\/CVPR.2017.693"},{"key":"1586_CR6","doi-asserted-by":"crossref","unstructured":"Firman, M., Mac\u00a0Aodha, O., Julier, S., Brostow, G.J.: Structured prediction of unobserved voxels from a single depth image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5431\u20135440 (2016)","DOI":"10.1109\/CVPR.2016.586"},{"issue":"6","key":"1586_CR7","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1145\/2366145.2366154","volume":"31","author":"M Fisher","year":"2012","unstructured":"Fisher, M., Ritchie, D., Savva, M., Funkhouser, T., Hanrahan, P.: Example-based synthesis of 3D object arrangements. ACM Trans. Graph. (TOG) 31(6), 135 (2012)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"6","key":"1586_CR8","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1145\/2816795.2818057","volume":"34","author":"M Fisher","year":"2015","unstructured":"Fisher, M., Savva, M., Li, Y., Hanrahan, P., Nie\u00dfner, M.: Activity-centric scene synthesis for functional 3D scene modeling. ACM Trans. Graph. (TOG) 34(6), 179 (2015)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"1586_CR9","unstructured":"Gal, R., Shamir, A., Hassner, T., Pauly, M., Cohen-Or, D.: Surface reconstruction using local shape priors. In: Symposium on Geometry Processing, EPFL-CONF-149318, pp. 253\u2013262 (2007)"},{"key":"1586_CR10","unstructured":"Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Proceedings of the 27th International Conference on Neural Information Processing Systems, Vol. 2, pp. 2672\u20132680. MIT Press (2014)"},{"issue":"1","key":"1586_CR11","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/2532548","volume":"33","author":"G Harary","year":"2014","unstructured":"Harary, G., Tal, A., Grinspun, E.: Context-based coherent surface completion. ACM Trans. Graph. (TOG) 33(1), 5 (2014)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"1586_CR12","doi-asserted-by":"crossref","unstructured":"Harary, G., Tal, A., Grinspun, E.: Feature-preserving surface completion using four points. In: Computer Graphics Forum, vol.\u00a033, pp. 45\u201354. Wiley Online Library, New York (2014)","DOI":"10.1111\/cgf.12430"},{"key":"1586_CR13","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1145\/1276377.1276382","volume":"26","author":"J Hays","year":"2007","unstructured":"Hays, J., Efros, A.A.: Scene completion using millions of photographs. ACM Trans. Graph. (TOG) 26, 4 (2007)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"1586_CR14","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"5","key":"1586_CR15","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1007\/s00371-013-0792-6","volume":"29","author":"SM Hu","year":"2013","unstructured":"Hu, S.M., Chen, T., Xu, K., Cheng, M.M., Martin, R.R.: Internet visual media processing: a survey with graphics and vision applications. Vis. Comput. 29(5), 393\u2013405 (2013)","journal-title":"Vis. Comput."},{"issue":"6","key":"1586_CR16","first-page":"196","volume":"35","author":"JB Huang","year":"2016","unstructured":"Huang, J.B., Kang, S.B., Ahuja, N., Kopf, J.: Temporally coherent completion of dynamic video. ACM Trans. Graph. (TOG) 35(6), 196 (2016)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"4","key":"1586_CR17","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/3072959.3073659","volume":"36","author":"S Iizuka","year":"2017","unstructured":"Iizuka, S., Simo-Serra, E., Ishikawa, H.: Globally and locally consistent image completion. ACM Trans. Graph. (TOG) 36(4), 107 (2017)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"3","key":"1586_CR18","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1145\/2487228.2487237","volume":"32","author":"M Kazhdan","year":"2013","unstructured":"Kazhdan, M., Hoppe, H.: Screened poisson surface reconstruction. ACM Trans. Graph. (TOG) 32(3), 29 (2013)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"1586_CR19","unstructured":"Kelly, B., Matthews, T.P., Anastasio, M.A.: Deep learning-guided image reconstruction from incomplete data. arXiv preprint \n                    arXiv:1709.00584\n                    \n                   (2017)"},{"key":"1586_CR20","doi-asserted-by":"crossref","unstructured":"Kermani, Z.S., Liao, Z., Tan, P., Zhang, H.: Learning 3D scene synthesis from annotated RGB-D images. In: Computer Graphics Forum, vol.\u00a035, pp. 197\u2013206. Wiley Online Library, New York (2016)","DOI":"10.1111\/cgf.12976"},{"key":"1586_CR21","unstructured":"Kraevoy, V., Sheffer, A.: Template-based mesh completion. In: Symposium on Geometry Processing, vol. 385, pp. 13\u201322 (2005)"},{"issue":"3","key":"1586_CR22","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1145\/1073204.1073263","volume":"24","author":"V Kwatra","year":"2005","unstructured":"Kwatra, V., Essa, I., Bobick, A., Kwatra, N.: Texture optimization for example-based synthesis. ACM Trans. Graph. (ToG) 24(3), 795\u2013802 (2005)","journal-title":"ACM Trans. Graph. (ToG)"},{"issue":"11","key":"1586_CR23","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"7","key":"1586_CR24","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1109\/TVCG.2016.2553102","volume":"23","author":"D Li","year":"2017","unstructured":"Li, D., Shao, T., Wu, H., Zhou, K.: Shape completion from a single RGBD image. IEEE Trans. Vis. Comput. Graph. 23(7), 1809\u20131822 (2017)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"1586_CR25","doi-asserted-by":"crossref","unstructured":"Li, Y., Liu, S., Yang, J., Yang, M.H.: Generative face completion. arXiv preprint \n                    arXiv:1704.05838\n                    \n                   (2017)","DOI":"10.1109\/CVPR.2017.624"},{"key":"1586_CR26","unstructured":"Liepa, P.: Filling holes in meshes. In: Eurographics\/ACM SIGGRAPH Symposium on Geometry Processing, pp. 200\u2013205. Eurographics Association (2003)"},{"key":"1586_CR27","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. arXiv preprint \n                    arXiv:1708.02002\n                    \n                   (2017)","DOI":"10.1109\/ICCV.2017.324"},{"issue":"3","key":"1586_CR28","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s00371-011-0638-z","volume":"28","author":"H Liu","year":"2012","unstructured":"Liu, H., Zhang, L., Huang, H.: Web-image driven best views of 3D shapes. Vis. Comput. 28(3), 279\u2013287 (2012)","journal-title":"Vis. Comput."},{"key":"1586_CR29","doi-asserted-by":"crossref","unstructured":"Mavridis, P., Sipiran, I., Andreadis, A., Papaioannou, G.: Object completion using k-sparse optimization. In: Computer Graphics Forum, vol.\u00a034, pp. 13\u201321. Wiley Online Library, New York (2015)","DOI":"10.1111\/cgf.12741"},{"key":"1586_CR30","doi-asserted-by":"crossref","unstructured":"Mellado, N., Aiger, D., Mitra, N.J.: Super 4pcs fast global pointcloud registration via smart indexing. In: Computer Graphics Forum, vol.\u00a033, pp. 205\u2013215. Wiley Online Library, New York (2014)","DOI":"10.1111\/cgf.12446"},{"key":"1586_CR31","unstructured":"Min, P.: Binvox. \n                    https:\/\/www.patrickmin.com\/binvox\/\n                    \n                  . Accessed 21 June 2018"},{"key":"1586_CR32","unstructured":"Mnih, A., Gregor, K.: Neural variational inference and learning in belief networks. arXiv preprint \n                    arXiv:1402.0030\n                    \n                   (2014)"},{"key":"1586_CR33","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted Boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp. 807\u2013814 (2010)"},{"key":"1586_CR34","unstructured":"Oord, A.V.D., Kalchbrenner, N., Kavukcuoglu, K.: Pixel recurrent neural networks. arXiv preprint \n                    arXiv:1601.06759\n                    \n                   (2016)"},{"key":"1586_CR35","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 234\u2013241. Springer, Berlin (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"3","key":"1586_CR36","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.cviu.2009.12.003","volume":"114","author":"Y Sahillio\u011flu","year":"2010","unstructured":"Sahillio\u011flu, Y., Yemez, Y.: Coarse-to-fine surface reconstruction from silhouettes and range data using mesh deformation. Comput. Vis. Image Underst. 114(3), 334\u2013348 (2010)","journal-title":"Comput. Vis. Image Underst."},{"issue":"3","key":"1586_CR37","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1145\/1015706.1015814","volume":"23","author":"A Sharf","year":"2004","unstructured":"Sharf, A., Alexa, M., Cohen-Or, D.: Context-based surface completion. ACM Trans. Graph. (TOG) 23(3), 878\u2013887 (2004)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"1586_CR38","doi-asserted-by":"crossref","unstructured":"Song, S., Yu, F., Zeng, A., Chang, A.X., Savva, M., Funkhouser, T.: Semantic scene completion from a single depth image. In: Conference on Computer Vision and Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.28"},{"issue":"4","key":"1586_CR39","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1145\/3072959.3073640","volume":"36","author":"S Suwajanakorn","year":"2017","unstructured":"Suwajanakorn, S., Seitz, S.M., Kemelmacher-Shlizerman, I.: Synthesizing obama: learning lip sync from audio. ACM Trans. Graph. (TOG) 36(4), 95 (2017)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"3","key":"1586_CR40","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1109\/TPAMI.2007.60","volume":"29","author":"Y Wexler","year":"2007","unstructured":"Wexler, Y., Shechtman, E., Irani, M.: Space-time completion of video. IEEE Trans. Pattern Anal. Mach. Intell. 29(3), 915 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1586_CR41","unstructured":"Wu, J., Zhang, C., Xue, T., Freeman, B., Tenenbaum, J.: Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling. In: Advances in Neural Information Processing Systems, pp. 82\u201390 (2016)"},{"key":"1586_CR42","first-page":"1","volume":"4","author":"C Xia","year":"2017","unstructured":"Xia, C., Zhang, H.: A fast and automatic hole-filling method based on feature line recovery. Comput. Aided Des. Appl. 4, 1\u20139 (2017)","journal-title":"Comput. Aided Des. Appl."},{"key":"1586_CR43","doi-asserted-by":"crossref","unstructured":"Xie, S., Girshick, R., Doll\u00e1r, P., Tu, Z., He, K.: Aggregated residual transformations for deep neural networks. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5987\u20135995. IEEE (2017)","DOI":"10.1109\/CVPR.2017.634"},{"key":"1586_CR44","doi-asserted-by":"crossref","unstructured":"Yang, B., Wen, H., Wang, S., Clark, R., Markham, A., Trigoni, N.: 3D object reconstruction from a single depth view with adversarial learning. arXiv preprint \n                    arXiv:1708.07969\n                    \n                   (2017)","DOI":"10.1109\/ICCVW.2017.86"},{"issue":"11","key":"1586_CR45","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.1109\/TPAMI.2015.2513405","volume":"38","author":"J Yang","year":"2016","unstructured":"Yang, J., Li, H., Campbell, D., Jia, Y.: GO-ICP: a globally optimal solution to 3D ICP point-set registration. IEEE Trans. Pattern Anal. Mach. Intell. 38(11), 2241\u20132254 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"1586_CR46","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/s00371-016-1208-1","volume":"33","author":"L Yang","year":"2017","unstructured":"Yang, L., Yan, Q., Xiao, C.: Shape-controllable geometry completion for point cloud models. Vis. Comput. 33(3), 385\u2013398 (2017)","journal-title":"Vis. Comput."},{"key":"1586_CR47","doi-asserted-by":"crossref","unstructured":"Yeh, R.A., Chen, C., Lim, T.Y., Schwing, A.G., Hasegawa-Johnson, M., Do, M.N.: Semantic image inpainting with deep generative models. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5485\u20135493 (2017)","DOI":"10.1109\/CVPR.2017.728"},{"key":"1586_CR48","first-page":"2016","volume":"896","author":"F Yu","year":"2016","unstructured":"Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. Int. Confer. Learn. Represent. 896, 2016 (2016)","journal-title":"Int. Confer. Learn. Represent."},{"issue":"1","key":"1586_CR49","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s00371-014-1053-z","volume":"32","author":"H Zhang","year":"2016","unstructured":"Zhang, H., Xu, M., Zhuo, L., Havyarimana, V.: A novel optimization framework for salient object detection. Vis. Comput. 32(1), 31\u201341 (2016)","journal-title":"Vis. Comput."},{"key":"1586_CR50","doi-asserted-by":"crossref","unstructured":"Zhang, H., Xu, T., Li, H., Zhang, S., Huang, X., Wang, X., Metaxas, D.: Stackgan: text to photo-realistic image synthesis with stacked generative adversarial networks. arXiv preprint \n                    arXiv:1612.03242\n                    \n                   (2016)","DOI":"10.1109\/ICCV.2017.629"},{"issue":"12","key":"1586_CR51","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1007\/s00371-007-0167-y","volume":"23","author":"W Zhao","year":"2007","unstructured":"Zhao, W., Gao, S., Lin, H.: A robust hole-filling algorithm for triangular mesh. Vis. Comput. 23(12), 987\u2013997 (2007)","journal-title":"Vis. Comput."},{"key":"1586_CR52","doi-asserted-by":"crossref","unstructured":"Zheng, B., Zhao, Y., Yu, J.C., Ikeuchi, K., Zhu, S.C.: Beyond point clouds: scene understanding by reasoning geometry and physics. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3127\u20133134 (2013)","DOI":"10.1109\/CVPR.2013.402"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00371-018-1586-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-018-1586-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-018-1586-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T19:19:43Z","timestamp":1565983183000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00371-018-1586-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,17]]},"references-count":52,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["1586"],"URL":"https:\/\/doi.org\/10.1007\/s00371-018-1586-7","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2018,8,17]]},"assertion":[{"value":"17 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}