{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:26:13Z","timestamp":1743135973742,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":42,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819609680"},{"type":"electronic","value":"9789819609697"}],"license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-0969-7_3","type":"book-chapter","created":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T12:53:50Z","timestamp":1733576030000},"page":"38-54","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["VIPNet: Combining Viewpoint Information and\u00a0Shape Priors for\u00a0Instant Multi-view 3D Reconstruction"],"prefix":"10.1007","author":[{"given":"Weining","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,8]]},"reference":[{"key":"3_CR1","unstructured":"Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer Normalization. arXiv preprint arXiv:1607.06450 (2016)"},{"issue":"1","key":"3_CR2","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.culher.2009.02.006","volume":"11","author":"F Bruno","year":"2010","unstructured":"Bruno, F., Bruno, S., De Sensi, G., Luchi, M.L., Mancuso, S., Muzzupappa, M.: From 3D Reconstruction to Virtual Reality: A Complete Methodology for Digital Archaeological Exhibition. J. Cult. Herit. 11(1), 42\u201349 (2010)","journal-title":"J. Cult. Herit."},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Choy, C.B., Xu, D., Gwak, J., Chen, K., Savarese, S.: 3D-R2N2: A Unified Approach for Single and Multi-View 3D Object Reconstruction. In: Proceedings of the European Conference on Computer Vision. pp. 628\u2013644. Springer (2016)","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Fan, H., Su, H., Guibas, L.J.: A Point Set Generation Network for 3D Object Reconstruction from a Single Image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 605\u2013613 (2017)","DOI":"10.1109\/CVPR.2017.264"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10462-012-9365-8","volume":"43","author":"J Fuentes-Pacheco","year":"2015","unstructured":"Fuentes-Pacheco, J., Ruiz-Ascencio, J., Rend\u00f3n-Mancha, J.M.: Visual Simultaneous Localization and Mapping: A Survey. Artif. Intell. Rev. 43, 55\u201381 (2015)","journal-title":"Artif. Intell. Rev."},{"key":"3_CR6","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative Adversarial Nets. Advances in Neural Information Processing Systems 27 (2014)"},{"key":"3_CR7","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":"8","key":"3_CR8","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long Short-Term Memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"3_CR9","unstructured":"Kar, A., H\u00e4ne, C., Malik, J.: Learning a Multi-View Stereo Machine. Advances in neural information processing systems 30 (2017)"},{"key":"3_CR10","unstructured":"Kingma, D.P., Ba, J.: Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"3_CR11","unstructured":"Kingma, D.P., Welling, M.: Auto-Encoding Variational Bayes. ArXiv Preprint ArXiv:1312.6114 (2013)"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Lin, C.H., Kong, C., Lucey, S.: Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.12278"},{"issue":"1","key":"3_CR13","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1080\/10095020.2017.1420509","volume":"21","author":"Y Lu","year":"2018","unstructured":"Lu, Y., Xue, Z., Xia, G.S., Zhang, L.: A Survey on Vision-Based UAV Navigation. Geo-spatial Information Science 21(1), 21\u201332 (2018)","journal-title":"Geo-spatial Information Science"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Mandikal, P., Navaneet, K., Agarwal, M., Babu, R.V.: 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. ArXiv Preprint ArXiv:1807.07796 (2018)","DOI":"10.1007\/978-3-030-11015-4_50"},{"key":"3_CR15","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1017\/S096249291700006X","volume":"26","author":"O \u00d6zye\u015fil","year":"2017","unstructured":"\u00d6zye\u015fil, O., Voroninski, V., Basri, R., Singer, A.: A Survey of Structure from Motion*. Acta Numer 26, 305\u2013364 (2017)","journal-title":"Acta Numer"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Razzak, M.I., Naz, S., Zaib, A.: Deep Learning for Medical Image Processing: Overview, Challenges and the Future. Classification in BioApps: Automation of Decision Making pp. 323\u2013350 (2018)","DOI":"10.1007\/978-3-319-65981-7_12"},{"key":"3_CR17","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 (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"3_CR18","unstructured":"Shi, Z., Meng, Z., Xing, Y., Ma, Y., Wattenhofer, R.: 3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers. In: 32nd British Machine Vision Conference (BMVC 2021). p.\u00a0405 (2021)"},{"key":"3_CR19","unstructured":"Sridhar, S., Rempe, D., Valentin, J., Sofien, B., Guibas, L.J.: Multiview Aggregation for Learning Category-Specific Shape Reconstruction. Advances in Neural Information Processing Systems 32 (2019)"},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Su, H., Qi, C.R., Li, Y., Guibas, L.J.: Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. In: Proceedings of the IEEE International Conference on Computer Vision (December 2015)","DOI":"10.1109\/ICCV.2015.308"},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Sun, X., Wu, J., Zhang, X., Zhang, Z., Zhang, C., Xue, T., Tenenbaum, J.B., Freeman, W.T.: Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2974\u20132983 (2018)","DOI":"10.1109\/CVPR.2018.00314"},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Tatarchenko, M., Dosovitskiy, A., Brox, T.: Octree Generating Networks: Efficient Convolutional Architectures for High-Resolution 3D Outputs. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 2088\u20132096 (2017)","DOI":"10.1109\/ICCV.2017.230"},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Tatarchenko, M., Richter, S.R., Ranftl, R., Li, Z., Koltun, V., Brox, T.: What do Single-View 3D Reconstruction Networks Learn? In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 3405\u20133414 (2019)","DOI":"10.1109\/CVPR.2019.00352"},{"key":"3_CR24","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is All you Need. Advances in Neural Information Processing Systems 30 (2017)"},{"key":"3_CR25","doi-asserted-by":"crossref","unstructured":"Wang, D., Cui, X., Chen, X., Zou, Z., Shi, T., Salcudean, S., Wang, Z.J., Ward, R.: Multi-View 3D Reconstruction with Transformers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 5722\u20135731 (2021)","DOI":"10.1109\/ICCV48922.2021.00567"},{"key":"3_CR26","doi-asserted-by":"crossref","unstructured":"Wang, M., Wang, L., Fang, Y.: 3DensiNet: A Robust Neural Network Architecture towards 3D Volumetric Object Prediction from 2D Image. In: Proceedings of the 25th ACM international conference on Multimedia. pp. 961\u2013969 (2017)","DOI":"10.1145\/3123266.3123340"},{"key":"3_CR27","doi-asserted-by":"crossref","unstructured":"Wang, N., Zhang, Y., Li, Z., Fu, Y., Liu, W., Jiang, Y.G.: Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In: Proceedings of the European Conference on Computer Vision. pp. 52\u201367 (2018)","DOI":"10.1007\/978-3-030-01252-6_4"},{"issue":"4","key":"3_CR28","first-page":"1","volume":"36","author":"PS Wang","year":"2017","unstructured":"Wang, P.S., Liu, Y., Guo, Y.X., Sun, C.Y., Tong, X.: O-cnn: Octree-based convolutional neural networks for 3d shape analysis. ACM Transactions On Graphics 36(4), 1\u201311 (2017)","journal-title":"ACM Transactions On Graphics"},{"key":"3_CR29","doi-asserted-by":"crossref","unstructured":"Wei, Y., Liu, S., Zhao, W., Lu, J.: Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 9651\u20139660 (2019)","DOI":"10.1109\/CVPR.2019.00988"},{"key":"3_CR30","doi-asserted-by":"crossref","unstructured":"Wen, C., Zhang, Y., Li, Z., Fu, Y.: Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 1042\u20131051 (2019)","DOI":"10.1109\/ICCV.2019.00113"},{"key":"3_CR31","unstructured":"Wu, J., Zhang, C., Xue, T., Freeman, B., Tenenbaum, J.: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. Advances in Neural Information Processing Systems 29 (2016)"},{"key":"3_CR32","unstructured":"Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X., Xiao, J.: 3D ShapeNets: A Deep Representation for Volumetric Shapes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 1912\u20131920 (2015)"},{"key":"3_CR33","doi-asserted-by":"crossref","unstructured":"Xiao, J., Hays, J., Ehinger, K.A., Oliva, A., Torralba, A.: SUN Database: Large-Scale Scene Recognition from Abbey to Zoo. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 3485\u20133492 (2010). 10.1109\/CVPR.2010.5539970","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"3_CR34","doi-asserted-by":"crossref","unstructured":"Xie, H., Yao, H., Sun, X., Zhou, S., Zhang, S.: Pix2vox: Context-Aware 3D Reconstruction from Single and Multi-View Images. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 2690\u20132698 (2019)","DOI":"10.1109\/ICCV.2019.00278"},{"issue":"12","key":"3_CR35","doi-asserted-by":"publisher","first-page":"2919","DOI":"10.1007\/s11263-020-01347-6","volume":"128","author":"H Xie","year":"2020","unstructured":"Xie, H., Yao, H., Zhang, S., Zhou, S., Sun, W.: Pix2Vox++: Multi-Scale Context-Aware 3D Object Reconstruction from Single and Multiple images. Int. J. Comput. Vision 128(12), 2919\u20132935 (2020)","journal-title":"Int. J. Comput. Vision"},{"key":"3_CR36","unstructured":"Yagubbayli, F., Wang, Y., Tonioni, A., Tombari, F.: Legoformer: Transformers for Block-by-block Multi-View 3D Reconstruction. arXiv preprint arXiv:2106.12102 (2021)"},{"key":"3_CR37","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/s11263-019-01217-w","volume":"128","author":"B Yang","year":"2020","unstructured":"Yang, B., Wang, S., Markham, A., Trigoni, N.: Robust Attentional Aggregation of Deep Feature Sets for Multi-View 3D Reconstruction. Int. J. Comput. Vision 128, 53\u201373 (2020)","journal-title":"Int. J. Comput. Vision"},{"key":"3_CR38","doi-asserted-by":"crossref","unstructured":"Yang, L., Zhu, Z., Lin, X., Nong, J., Liang, Y.: Long-Range Grouping Transformer for Multi-View 3D Reconstruction. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 18257\u201318267 (2023)","DOI":"10.1109\/ICCV51070.2023.01674"},{"key":"3_CR39","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.autcon.2012.09.017","volume":"33","author":"MD Yang","year":"2013","unstructured":"Yang, M.D., Chao, C.F., Huang, K.S., Lu, L.Y., Chen, Y.P.: Image-Based 3D Scene Reconstruction and Exploration in Augmented Reality. Autom. Constr. 33, 48\u201360 (2013)","journal-title":"Autom. Constr."},{"key":"3_CR40","doi-asserted-by":"crossref","unstructured":"Yang, S., Xu, M., Xie, H., Perry, S., Xia, J.: Single-View 3D Object Reconstruction from Shape Priors in Memory. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 3152\u20133161 (2021)","DOI":"10.1109\/CVPR46437.2021.00317"},{"key":"3_CR41","doi-asserted-by":"crossref","unstructured":"Zhu, Z., Yang, L., Li, N., Jiang, C., Liang, Y.: UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction. arXiv preprint arXiv:2302.13987 (2023)","DOI":"10.1109\/ICCV51070.2023.01671"},{"key":"3_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109674","volume":"142","author":"Z Zhu","year":"2023","unstructured":"Zhu, Z., Yang, L., Lin, X., Yang, L., Liang, Y.: GARNet: Global-aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff. Pattern Recogn. 142, 109674 (2023)","journal-title":"Pattern Recogn."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0969-7_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T13:03:01Z","timestamp":1733576581000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0969-7_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"ISBN":["9789819609680","9789819609697"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0969-7_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,8]]},"assertion":[{"value":"8 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2024","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":"accv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}