{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T15:56:56Z","timestamp":1771516616313,"version":"3.50.1"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030962982","type":"print"},{"value":"9783030962999","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-96299-9_51","type":"book-chapter","created":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T17:09:04Z","timestamp":1645463344000},"page":"537-548","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Computer Graphics Rendering Survey: From\u00a0Rasterization and\u00a0Ray Tracing to\u00a0Deep Learning"],"prefix":"10.1007","author":[{"given":"Houssam","family":"Halmaoui","sequence":"first","affiliation":[]},{"given":"Abdelkrim","family":"Haqiq","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,22]]},"reference":[{"key":"51_CR1","unstructured":"Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: International Conference on Machine Learning, pp. 214\u2013223. PMLR (2017)"},{"issue":"6394","key":"51_CR2","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1126\/science.aar6170","volume":"360","author":"SA Eslami","year":"2018","unstructured":"Eslami, S.A., et al.: Neural scene representation and rendering. Science 360(6394), 1204\u20131210 (2018)","journal-title":"Science"},{"key":"51_CR3","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. Adv. Neural Inf. Process. Syst. 27 (2014)"},{"key":"51_CR4","volume-title":"Computer Graphics Programming in OpenGL with C++","author":"VS Gordon","year":"2020","unstructured":"Gordon, V.S., Clevenger, J.L.: Computer Graphics Programming in OpenGL with C++. Stylus Publishing, LLC (2020)"},{"key":"51_CR5","doi-asserted-by":"crossref","unstructured":"Haines, E., Akenine-M\u00f6ller, T.: Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and Other APIs. Apress (2019)","DOI":"10.1007\/978-1-4842-4427-2"},{"key":"51_CR6","doi-asserted-by":"crossref","unstructured":"Halmaoui, H., Haqiq, A.: Matchmoving previsualization based on artificial marker detection. In: International Conference on Advanced Intelligent Systems and Informatics, pp. 79\u201389. Springer (2020)","DOI":"10.1007\/978-3-030-58669-0_7"},{"key":"51_CR7","doi-asserted-by":"crossref","unstructured":"Kanamori, Y., Endo, Y.: Relighting humans: occlusion-aware inverse rendering for full-body human images. arXiv preprint arXiv:1908.02714 (2019)","DOI":"10.1145\/3272127.3275104"},{"key":"51_CR8","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of stylegan. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8110\u20138119 (2020)","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"51_CR9","unstructured":"Kessenich, J., Sellers, G., Shreiner, D.: OpenGL Programming Guide: The Official Guide to learning OpenGL, version 4.5. Addison-Wesley Professional, Boston (2016)"},{"issue":"4","key":"51_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3450626.3459776","volume":"37","author":"H Kim","year":"2018","unstructured":"Kim, H., et al.: Deep video portraits. ACM Trans. Graph. (TOG) 37(4), 1\u201314 (2018)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"51_CR11","doi-asserted-by":"crossref","unstructured":"Koujan, M.R., Doukas, M.C., Roussos, A., Zafeiriou, S.: Head2head: video-based neural head synthesis. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pp. 16\u201323. IEEE (2020)","DOI":"10.1109\/FG47880.2020.00048"},{"key":"51_CR12","doi-asserted-by":"crossref","unstructured":"Lee, M., Seok, J.: Controllable generative adversarial network. IEEE Access 7, 28158\u201328169 (2019)","DOI":"10.1109\/ACCESS.2019.2899108"},{"key":"51_CR13","doi-asserted-by":"crossref","unstructured":"Liu, N., Pang, M.Y.: A survey of shadow rendering algorithms: projection shadows and shadow volumes. In: 2009 Second International Workshop on Computer Science and Engineering. vol.\u00a01, pp. 488\u2013492. IEEE (2009)","DOI":"10.1109\/WCSE.2009.716"},{"key":"51_CR14","doi-asserted-by":"crossref","unstructured":"Lombardi, S., Simon, T., Saragih, J., Schwartz, G., Lehrmann, A., Sheikh, Y.: Neural volumes: Learning dynamic renderable volumes from images. arXiv preprint arXiv:1906.07751 (2019)","DOI":"10.1145\/3306346.3323020"},{"key":"51_CR15","doi-asserted-by":"crossref","unstructured":"Marschner, S., Shirley, P.: Fundamentals of Computer Graphics. CRC Press, New York (2018)","DOI":"10.1201\/9781315372198"},{"key":"51_CR16","doi-asserted-by":"crossref","unstructured":"Park, T., Liu, M.Y., Wang, T.C., Zhu, J.Y.: Semantic image synthesis with spatially-adaptive normalization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2337\u20132346 (2019)","DOI":"10.1109\/CVPR.2019.00244"},{"key":"51_CR17","unstructured":"Pharr, M., Jakob, W., Humphreys, G.: Physically Based Rendering: From Theory to Implementation. Morgan Kaufmann, San Francisco (2016)"},{"key":"51_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3306346.3323013","volume":"38","author":"J Philip","year":"2019","unstructured":"Philip, J., Gharbi, M., Zhou, T., Efros, A.A., Drettakis, G.: Multi-view relighting using a geometry-aware network. ACM Trans. Graph. 38, 1\u201314 (2019)","journal-title":"ACM Trans. Graph."},{"key":"51_CR19","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. preprint arXiv:1511.06434 (2015)"},{"issue":"4","key":"51_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2766899","volume":"34","author":"P Ren","year":"2015","unstructured":"Ren, P., Dong, Y., Lin, S., Tong, X., Guo, B.: Image based relighting using neural networks. ACM Trans. Graph. (ToG) 34(4), 1\u201312 (2015)","journal-title":"ACM Trans. Graph. (ToG)"},{"key":"51_CR21","unstructured":"Segal, M., Akeley, K.: The Opengl Graphics System: A Specification. version 4.6, core profile. The Khronos Group Inc., 2006-2018 (2020)"},{"key":"51_CR22","unstructured":"Sellers, G., Wright\u00a0Jr, R.S., Haemel, N.: OpenGL superBible: comprehensive tutorial and reference. Addison-Wesley (2013)"},{"key":"51_CR23","unstructured":"Shirley, P.: Ray Tracing in One Weekend. Amazon Digital Services LLC 1, Seattle (2016)"},{"key":"51_CR24","doi-asserted-by":"crossref","unstructured":"Sitzmann, V., Thies, J., Heide, F., Nie\u00dfner, M., Wetzstein, G., Zollhofer, M.: Deepvoxels: learning persistent 3d feature embeddings. In: Proceedings of the IEEE\/CVF CVPR, pp. 2437\u20132446 (2019)","DOI":"10.1109\/CVPR.2019.00254"},{"issue":"4","key":"51_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3306346.3323008","volume":"38","author":"T Sun","year":"2019","unstructured":"Sun, T., et al.: Single image portrait relighting. ACM Trans. Graph. 38(4), 1\u201312 (2019)","journal-title":"ACM Trans. Graph."},{"key":"51_CR26","doi-asserted-by":"crossref","unstructured":"Tewari, A., et al.: State of the art on neural rendering. Comput. Graph. Forum 39, 701\u2013727 (2020)","DOI":"10.1111\/cgf.14022"},{"key":"51_CR27","doi-asserted-by":"crossref","unstructured":"Wang, J., Dong, Y., Tong, X., Lin, Z., Guo, B.: Kernel nystr\u00f6m method for light transport. In: ACM SIGGRAPH 2009 Papers, pp. 1\u201310 (2009)","DOI":"10.1145\/1531326.1531335"},{"key":"51_CR28","unstructured":"Wu, J., Zhang, C., Xue, T., Freeman, W.T., Tenenbaum, J.B.: Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling. In: Proceedings of the 30th International Conference on Neural Information Processing Systems, pp. 82\u201390 (2016)"},{"issue":"4","key":"51_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3197517.3201313","volume":"37","author":"Z Xu","year":"2018","unstructured":"Xu, Z., Sunkavalli, K., Hadap, S., Ramamoorthi, R.: Deep image-based relighting from optimal sparse samples. ACM Trans. Graph. 37(4), 1\u201313 (2018)","journal-title":"ACM Trans. Graph."},{"key":"51_CR30","doi-asserted-by":"crossref","unstructured":"Zakharov, E., Shysheya, A., Burkov, E., Lempitsky, V.: Few-shot adversarial learning of realistic neural talking head models. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9459\u20139468 (2019)","DOI":"10.1109\/ICCV.2019.00955"}],"container-title":["Lecture Notes in Networks and Systems","Innovations in Bio-Inspired Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-96299-9_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T17:15:16Z","timestamp":1645463716000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-96299-9_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030962982","9783030962999"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-96299-9_51","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"22 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IBICA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovations in Bio-Inspired Computing and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ibica2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/ibica21\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}