{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:48:23Z","timestamp":1742914103172,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031347894"},{"type":"electronic","value":"9783031347900"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-34790-0_23","type":"book-chapter","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T12:02:53Z","timestamp":1686312173000},"page":"294-308","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DPNet: Depth and\u00a0Pose Net for\u00a0Novel View Synthesis via\u00a0Depth Map Estimation"],"prefix":"10.1007","author":[{"given":"Ge","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yumei","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,10]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Choy, C.B., Xu, D., Gwak, J., Chen, K., Savarese, S.: A unified approach for single and multi-view 3d object reconstruction. In: European Conference on Computer Vision, pp. 628\u2013644(2016)","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Kato, H., Ushiku, Y., Harada, T.: Neural 3d mesh renderer. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3907\u20133916(2018)","DOI":"10.1109\/CVPR.2018.00411"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Riegler, G., Koltun, V.: Stable view synthesis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12216\u201312225 (2021)","DOI":"10.1109\/CVPR46437.2021.01204"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Wiles, O., Gkioxari, G., Szeliski, R., Johnson, J.: Synsin: End-to-end view synthesis from a single image. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7467\u20137477 (2020)","DOI":"10.1109\/CVPR42600.2020.00749"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Zhou, T., Tulsiani, S., Sun, W., et al.: View synthesis by appearance flow. In: European Conference on Computer Vision, pp. 286\u2013301 (2016)","DOI":"10.1007\/978-3-319-46493-0_18"},{"key":"23_CR6","unstructured":"Chen, X., Song, J., Hilliges, O.: Monocular neural image based rendering with continuous view control. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4090\u20134100 (2019)"},{"key":"23_CR7","doi-asserted-by":"crossref","unstructured":"Hou, Y., Solin, A., Kannala, J.: Novel view synthesis via depth-guided skip connections. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 3119\u20133128 (2021)","DOI":"10.1109\/WACV48630.2021.00316"},{"key":"23_CR8","unstructured":"Chang, A., X., Funkhouser, T., Guibas, L., et al. Shapenet: An information-rich 3d model repository. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1512\u20133012 (2015)"},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? The KITTI vision benchmark suite. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3354\u20133361 (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Schonberger, J.L., Frahm, M.: Structure-from-motion revisited. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4104\u20134113 (2016)","DOI":"10.1109\/CVPR.2016.445"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Sch\u00f6nberger, J.L., Zheng, E., Frahm, J.M., et al.: Pixelwise view selection for unstructured multi-view stereo. In: European Conference on Computer Vision, pp. 501\u2013518 (2016)","DOI":"10.1007\/978-3-319-46487-9_31"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Penner, E., Zhang, L.: Soft 3D reconstruction for view synthesis. In: ACM Transactions on Graphics, pp. 1\u201311 (2017)","DOI":"10.1145\/3130800.3130855"},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Lombardi, S., Simon, T., Saragih, J., et al.: Neural volumes: Learning dynamic renderable volumes from images. arXiv preprint 2019)","DOI":"10.1145\/3306346.3323020"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Tatarchenko, M., Dosovitskiy, A., Brox, T.: Multi-view 3d models from single images with a convolutional network. In: European Conference on Computer Vision, pp. 322\u2013337 (2016)","DOI":"10.1007\/978-3-319-46478-7_20"},{"key":"23_CR15","unstructured":"Insafutdinov, E., Dosovitskiy, A.: Unsupervised learning of shape and pose with differentiable point clouds. In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, pp. 2807\u20132817 (2018)"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Li, Z., Snavely, N.: Megadepth: Learning single-view depth prediction from internet photos. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2041\u20132050 (2018)","DOI":"10.1109\/CVPR.2018.00218"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Sun, S.H., Huh, M., Liao, Y.H., et al.:Multi-view to novel view: Synthesizing novel views with self-learned confidence. In: Proceedings of the European Conference on Computer Vision, pp. 155\u2013171(2018)","DOI":"10.1007\/978-3-030-01219-9_10"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Park, E., Yang, J., Yumer, E., et al.:Transformation-grounded image generation network for novel 3d view synthesis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3500\u20133509 (2017)","DOI":"10.1109\/CVPR.2017.82"},{"issue":"11","key":"23_CR19","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., et al.: Generative adversarial nets. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"key":"23_CR20","unstructured":"Brock, A., Donahue, J., Simonyan, K.: Large scale GAN training for high fidelity natural image synthesis. arXiv preprint (2018)"},{"key":"23_CR21","doi-asserted-by":"crossref","unstructured":"Nguyen-Phuoc, T., Li, C., Theis, L., et al.:Hologan: Unsupervised learning of 3d representations from natural images. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 7588\u20137597 (2019)","DOI":"10.1109\/ICCV.2019.00768"},{"key":"23_CR22","doi-asserted-by":"crossref","unstructured":"Niemeyer, M., Mescheder, L., Oechsle, M., et al.: Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3504\u20133515 (2020)","DOI":"10.1109\/CVPR42600.2020.00356"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34790-0_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T12:04:50Z","timestamp":1686312290000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34790-0_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031347894","9783031347900"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34790-0_23","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"10 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ChinaCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Communications and Networking in China","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"chinacom2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/chinacom.eai-conferences.org\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}