{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:07:05Z","timestamp":1772644025016,"version":"3.50.1"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T00:00:00Z","timestamp":1764979200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T00:00:00Z","timestamp":1764979200000},"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":["Vis Comput"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1007\/s00371-025-04247-3","type":"journal-article","created":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T19:42:07Z","timestamp":1765050127000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EffiSketch3D: data-efficient 3D generation from sketches via dual-domain pre-trained priors"],"prefix":"10.1007","volume":"42","author":[{"given":"Bin","family":"Xu","sequence":"first","affiliation":[]},{"given":"Xinmin","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Huihui","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Yidong","family":"Han","sequence":"additional","affiliation":[]},{"given":"Jiahao","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,12,6]]},"reference":[{"issue":"1","key":"4247_CR1","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1109\/MMUL.2022.3156185","volume":"29","author":"S-C Chen","year":"2022","unstructured":"Chen, S.-C.: Multimedia research toward the metaverse. IEEE Multimedia 29(1), 125\u2013127 (2022)","journal-title":"IEEE Multimedia"},{"key":"4247_CR2","doi-asserted-by":"crossref","unstructured":"Kwan, K.C., Fu, H.: Mobi3dsketch: 3d sketching in mobile ar. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI 2019), pp. 1\u201311 (2019)","DOI":"10.1145\/3290605.3300406"},{"key":"4247_CR3","doi-asserted-by":"crossref","unstructured":"Park, J.J., Florence, P., Straub, J., Newcombe, R., Lovegrove, S.: Deepsdf: learning continuous signed distance functions for shape representation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 165\u2013174 (2019)","DOI":"10.1109\/CVPR.2019.00025"},{"key":"4247_CR4","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"4247_CR5","unstructured":"Jun, H., Nichol, A.: Shap-e: Generating conditional 3d implicit functions. arXiv preprint arXiv:2305.02463 (2023)"},{"key":"4247_CR6","unstructured":"Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., etal.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763 (2021). PMLR"},{"key":"4247_CR7","unstructured":"Zhou, J., Wang, J., Ma, B., Liu, Y.-S., Huang, T., Wang, X.: Uni3d: Exploring unified 3d representation at scale. arXiv preprint arXiv:2310.06773 (2023)"},{"issue":"4","key":"4247_CR8","first-page":"370","volume":"33","author":"A Bonnici","year":"2019","unstructured":"Bonnici, A., Akman, A., Calleja, G., Camilleri, K.P., Fehling, P., Ferreira, A., Hermuth, F., Israel, J.H., Landwehr, T., Liu, J., et al.: Sketch-based interaction and modeling: where do we stand? AI EDAM 33(4), 370\u2013388 (2019)","journal-title":"AI EDAM"},{"issue":"1","key":"4247_CR9","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.cag.2008.09.013","volume":"33","author":"L Olsen","year":"2009","unstructured":"Olsen, L., Samavati, F.F., Sousa, M.C., Jorge, J.A.: Sketch-based modeling: a survey. Comput. & Graphics 33(1), 85\u2013103 (2009)","journal-title":"Comput. & Graphics"},{"key":"4247_CR10","doi-asserted-by":"crossref","unstructured":"Cohen, J.M., Markosian, L., Zeleznik, R.C., Hughes, J.F., Barzel, R.: An interface for sketching 3d curves. In: Proceedings of the 1999 Symposium on Interactive 3D Graphics, pp. 17\u201321 (1999)","DOI":"10.1145\/300523.300655"},{"issue":"3","key":"4247_CR11","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s41095-019-0153-0","volume":"6","author":"C Deng","year":"2020","unstructured":"Deng, C., Huang, J., Yang, Y.-L.: Interactive modeling of lofted shapes from a single image. Computational Visual Media 6(3), 279\u2013289 (2020)","journal-title":"Computational Visual Media"},{"issue":"6","key":"4247_CR12","first-page":"1","volume":"39","author":"C Li","year":"2020","unstructured":"Li, C., Pan, H., Bousseau, A., Mitra, N.J.: Sketch2cad: sequential cad modeling by sketching in context. ACM Transactions on Graphics (TOG) 39(6), 1\u201314 (2020)","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"4247_CR13","doi-asserted-by":"crossref","unstructured":"Shtof, A., Agathos, A., Gingold, Y., Shamir, A., Cohen-Or, D.: Geosemantic snapping for sketch-based modeling. In: Computer Graphics Forum, vol. 32, pp. 245\u2013253 (2013). Wiley Online Library","DOI":"10.1111\/cgf.12044"},{"key":"4247_CR14","doi-asserted-by":"crossref","unstructured":"Chen, D.-Y., Tian, X.-P., Shen, Y.-T., Ouhyoung, M.: On visual similarity based 3d model retrieval. In: Computer Graphics Forum, vol. 22, pp. 223\u2013232 (2003). Wiley Online Library","DOI":"10.1111\/1467-8659.00669"},{"key":"4247_CR15","doi-asserted-by":"publisher","first-page":"1962","DOI":"10.1109\/TMM.2020.3006371","volume":"23","author":"W-Z Nie","year":"2020","unstructured":"Nie, W.-Z., Ren, M.-J., Liu, A.-A., Mao, Z., Nie, J.: M-gcn: Multi-branch graph convolution network for 2d image-based on 3d model retrieval. IEEE Trans. Multimedia 23, 1962\u20131976 (2020)","journal-title":"IEEE Trans. Multimedia"},{"issue":"4","key":"4247_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2897824.2925954","volume":"35","author":"P Sangkloy","year":"2016","unstructured":"Sangkloy, P., Burnell, N., Ham, C., Hays, J.: The sketchy database: learning to retrieve badly drawn bunnies. ACM Transactions on Graphics (TOG) 35(4), 1\u201312 (2016)","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"4247_CR17","doi-asserted-by":"crossref","unstructured":"Wang, F., Kang, L., Li, Y.: Sketch-based 3d shape retrieval using convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1875\u20131883 (2015)","DOI":"10.1109\/CVPR.2015.7298797"},{"issue":"11","key":"4247_CR18","first-page":"2950","volume":"22","author":"Y Xu","year":"2020","unstructured":"Xu, Y., Hu, J., Wattanachote, K., Zeng, K., Gong, Y.: Sketch-based shape retrieval via best view selection and a cross-domain similarity measure. IEEE Trans. Multimedia 22(11), 2950\u20132962 (2020)","journal-title":"IEEE Trans. Multimedia"},{"key":"4247_CR19","unstructured":"Yuan, S., Wen, C., Liu, Y.-S., Fang, Y.: Retrieval-specific view learning for sketch-to-shape retrieval. IEEE Transactions on Multimedia (2023)"},{"key":"4247_CR20","doi-asserted-by":"crossref","unstructured":"Chen, T., Ding, C., Zhu, L., Zang, Y., Liao, Y., Li, Z., Sun, L.: Reality3dsketch: Rapid 3d modeling of objects from single freehand sketches. IEEE Transactions on Multimedia (2023)","DOI":"10.1109\/TMM.2023.3327533"},{"key":"4247_CR21","doi-asserted-by":"crossref","unstructured":"Chen, T., Fu, C., Zang, Y., Zhu, L., Zhang, J., Mao, P., Sun, L.: Deep3dsketch+: Rapid 3d modeling from single free-hand sketches. In: International Conference on Multimedia Modeling, pp. 16\u201328 (2023). Springer","DOI":"10.1007\/978-3-031-27818-1_2"},{"key":"4247_CR22","doi-asserted-by":"crossref","unstructured":"Guillard, B., Remelli, E., Yvernay, P., Fua, P.: Sketch2mesh: Reconstructing and editing 3d shapes from sketches. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13023\u201313032 (2021)","DOI":"10.1109\/ICCV48922.2021.01278"},{"key":"4247_CR23","doi-asserted-by":"crossref","unstructured":"Zang, Y., Fu, C., Chen, T., Hu, Y., Liu, Q., Hu, W.: Deep3dsketch+: obtaining customized 3d model by single free-hand sketch through deep learning. arXiv preprint arXiv:2310.18609 (2023)","DOI":"10.1109\/SMC53992.2023.10393936"},{"key":"4247_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, S.-H., Guo, Y.-C., Gu, Q.-W.: Sketch2model: View-aware 3d modeling from single free-hand sketches. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6012\u20136021 (2021)","DOI":"10.1109\/CVPR46437.2021.00595"},{"key":"4247_CR25","unstructured":"Chang, A.X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., et al.: Shapenet: an information-rich 3d model repository. arXiv preprint arXiv:1512.03012 (2015)"},{"key":"4247_CR26","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhang, H.: Learning implicit fields for generative shape modeling. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5939\u20135948 (2019)","DOI":"10.1109\/CVPR.2019.00609"},{"key":"4247_CR27","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":"4247_CR28","unstructured":"Liu, S., Saito, S., Chen, W., Li, H.: Learning to infer implicit surfaces without 3d supervision. Advances in Neural Information Processing Systems 32 (2019)"},{"key":"4247_CR29","doi-asserted-by":"crossref","unstructured":"Liu, S., Li, T., Chen, W., Li, H.: Soft rasterizer: a differentiable renderer for image-based 3d reasoning. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 7708\u20137717 (2019)","DOI":"10.1109\/ICCV.2019.00780"},{"key":"4247_CR30","first-page":"11453","volume":"33","author":"C-H Lin","year":"2020","unstructured":"Lin, C.-H., Wang, C., Lucey, S.: Sdf-srn: learning signed distance 3d object reconstruction from static images. Adv. Neural. Inf. Process. Syst. 33, 11453\u201311464 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"4247_CR31","doi-asserted-by":"crossref","unstructured":"Yu, A., Ye, V., Tancik, M., Kanazawa, A.: pixelnerf: neural radiance fields from one or few images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4578\u20134587 (2021)","DOI":"10.1109\/CVPR46437.2021.00455"},{"key":"4247_CR32","doi-asserted-by":"crossref","unstructured":"Zhang, S., Peng, S., Chen, T., Mou, L., Lin, H., Yu, K., Liao, Y., Zhou, X.: Painting 3d nature in 2d: view synthesis of natural scenes from a single semantic mask. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8518\u20138528 (2023)","DOI":"10.1109\/CVPR52729.2023.00823"},{"key":"4247_CR33","doi-asserted-by":"crossref","unstructured":"Chen, T., Fu, C., Zhu, L., Mao, P., Zhang, J., Zang, Y., Sun, L.: Deep3dsketch: 3d modeling from free-hand sketches with view-and structural-aware adversarial training. arXiv preprint arXiv:2312.04435 (2023)","DOI":"10.1109\/ICASSP49357.2023.10096348"},{"key":"4247_CR34","unstructured":"Xu, Q., Wang, W., Ceylan, D., Mech, R., Neumann, U.: Disn: Deep implicit surface network for high-quality single-view 3d reconstruction. Advances in neural information processing systems 32 (2019)"},{"issue":"4","key":"4247_CR35","first-page":"1","volume":"36","author":"P-S 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 (TOG) 36(4), 1\u201311 (2017)","journal-title":"ACM Transactions On Graphics (TOG)"},{"key":"4247_CR36","doi-asserted-by":"crossref","unstructured":"Wang, P.-S., Liu, Y., Tong, X.: Deep octree-based cnns with output-guided skip connections for 3d shape and scene completion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 266\u2013267 (2020)","DOI":"10.1109\/CVPRW50498.2020.00141"},{"key":"4247_CR37","doi-asserted-by":"crossref","unstructured":"Zheng, X.-Y., Pan, H., Wang, P.-S., Tong, X., Liu, Y., Shum, H.-Y.: Locally attentional sdf diffusion for controllable 3d shape generation. arXiv preprint arXiv:2305.04461 (2023)","DOI":"10.1145\/3592103"},{"key":"4247_CR38","unstructured":"Kar, A., H\u00e4ne, C., Malik, J.: Learning a multi-view stereo machine. Advances in neural information processing systems (NeurIPS) 30 (2017)"},{"key":"4247_CR39","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"4247_CR40","doi-asserted-by":"crossref","unstructured":"Chen, T., Ding, C., Zhang, S., Yu, C., Zang, Y., Li, Z., Peng, S., Sun, L.: Rapid 3d model generation with intuitive 3d input. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12554\u201312564 (2024)","DOI":"10.1109\/CVPR52733.2024.01193"},{"key":"4247_CR41","doi-asserted-by":"crossref","unstructured":"Seufert, M.: Fundamental advantages of considering quality of experience distributions over mean opinion scores. In: 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX), pp. 1\u20136 (2019). IEEE","DOI":"10.1109\/QoMEX.2019.8743296"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04247-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-04247-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04247-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T13:03:40Z","timestamp":1772629420000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-04247-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,6]]},"references-count":41,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["4247"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-04247-3","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,6]]},"assertion":[{"value":"8 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We declare that we do not have any commercial or associative interest that represents a Conflict of interest in connection with the work submitted.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"21"}}