{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T05:28:23Z","timestamp":1742966903422,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":36,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819785070"},{"type":"electronic","value":"9789819785087"}],"license":[{"start":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T00:00:00Z","timestamp":1730592000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T00:00:00Z","timestamp":1730592000000},"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\/978-981-97-8508-7_27","type":"book-chapter","created":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T06:08:58Z","timestamp":1730527738000},"page":"387-402","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Trans-DONeRF for\u00a0Transparent Object Rendering with\u00a0Mixed Depth Prior"],"prefix":"10.1007","author":[{"given":"Jiangnan","family":"Ye","sequence":"first","affiliation":[]},{"given":"Taoqi","family":"Bao","sequence":"additional","affiliation":[]},{"given":"Lianrui","family":"Mu","sequence":"additional","affiliation":[]},{"given":"Yuchen","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jiedong","family":"Zhuang","sequence":"additional","affiliation":[]},{"given":"Xiaoyu","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Jiayi","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Haoji","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,3]]},"reference":[{"key":"27_CR1","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/s11263-016-0902-9","volume":"120","author":"H Aan\u00e6s","year":"2016","unstructured":"Aan\u00e6s, H., Jensen, R.R., Vogiatzis, G., Tola, E., Dahl, A.B.: Large-scale data for multiple-view stereopsis. Int. J. Comput. Vision 120, 153\u2013168 (2016)","journal-title":"Int. J. Comput. Vision"},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Andersson, P., Nilsson, J., Akenine-M\u00f6ller, T., Oskarsson, M., \u00c5str\u00f6m, K., Fairchild, M.D.: Flip: A difference evaluator for alternating images. Proc. ACM Comput. Graph. Interact. Tech. 3(2), Article no. 15, 1\u201323 (2020)","DOI":"10.1145\/3406183"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Araslanov, N., Roth, S.: Self-supervised augmentation consistency for adapting semantic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15384\u201315394 (2021)","DOI":"10.1109\/CVPR46437.2021.01513"},{"key":"27_CR4","unstructured":"Cen, J., Zhou, Z., Fang, J., Shen, W., Xie, L., Jiang, D., Zhang, X., Tian, Q., et\u00a0al.: Segment anything in 3D with nerfs. Adv. Neural Inform. Process. Syst. 36 (2024)"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Chen, G., Han, K., Wong, K.Y.K.: Tom-net: learning transparent object matting from a single image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9233\u20139241 (2018)","DOI":"10.1109\/CVPR.2018.00962"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Cheng, Y., Wei, F., Bao, J., Chen, D., Wen, F., Zhang, W.: Dual path learning for domain adaptation of semantic segmentation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9082\u20139091 (2021)","DOI":"10.1109\/ICCV48922.2021.00895"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Deng, W., Campbell, D., Sun, C., Kanitkar, S., Shaffer, M., Gould, S.: Ray deformation networks for novel view synthesis of refractive objects. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 3118\u20133128 (2024)","DOI":"10.1109\/WACV57701.2024.00309"},{"key":"27_CR8","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et\u00a0al.: An image is worth 16 x 16 words: transformers for image recognition at scale (2020). arXiv preprint arXiv:2010.11929"},{"issue":"3","key":"27_CR9","doi-asserted-by":"publisher","first-page":"7383","DOI":"10.1109\/LRA.2022.3183256","volume":"7","author":"H Fang","year":"2022","unstructured":"Fang, H., Fang, H.S., Xu, S., Lu, C.: TransCG: a large-scale real-world dataset for transparent object depth completion and a grasping baseline. IEEE Robot. Autom. Lett. 7(3), 7383\u20137390 (2022)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Fridovich-Keil, S., Yu, A., Tancik, M., Chen, Q., Recht, B., Kanazawa, A.: Plenoxels: radiance fields without neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5501\u20135510 (2022)","DOI":"10.1109\/CVPR52688.2022.00542"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Fujitomi, T., Sakurada, K., Hamaguchi, R., Shishido, H., Onishi, M., Kameda, Y.: LB-nerf: light bending neural radiance fields for transparent medium. In: 2022 IEEE International Conference on Image Processing (ICIP), pp. 2142\u20132146. IEEE (2022)","DOI":"10.1109\/ICIP46576.2022.9897642"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Garbin, S.J., Kowalski, M., Johnson, M., Shotton, J., Valentin, J.: Fastnerf: High-fidelity neural rendering at 200 fps. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14346\u201314355 (2021)","DOI":"10.1109\/ICCV48922.2021.01408"},{"key":"27_CR13","doi-asserted-by":"crossref","unstructured":"Guo, Y.C., Kang, D., Bao, L., He, Y., Zhang, S.H.: NeRFReN: neural radiance fields with reflections. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18409\u201318418 (2022)","DOI":"10.1109\/CVPR52688.2022.01786"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Jiang, J., Cao, G., Deng, J., Do, T.T., Luo, S.: Robotic perception of transparent objects: a review. IEEE Trans. Artif. Intell. (2023)","DOI":"10.1109\/TAI.2023.3326120"},{"issue":"4","key":"27_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3592433","volume":"42","author":"B Kerbl","year":"2023","unstructured":"Kerbl, B., Kopanas, G., Leimk\u00fchler, T., Drettakis, G.: 3D gaussian splatting for real-time radiance field rendering. ACM Trans. Graph. 42(4), 1\u201314 (2023)","journal-title":"ACM Trans. Graph."},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A.C., Lo, W.Y., et\u00a0al.: Segment anything. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4015\u20134026 (2023)","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"27_CR17","first-page":"15651","volume":"33","author":"L Liu","year":"2020","unstructured":"Liu, L., Gu, J., Zaw Lin, K., Chua, T.S., Theobalt, C.: Neural sparse voxel fields. Adv. Neural. Inf. Process. Syst. 33, 15651\u201315663 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"27_CR18","unstructured":"Liu, S., Zeng, Z., Ren, T., Li, F., Zhang, H., Yang, J., Li, C., Yang, J., Su, H., Zhu, J., et\u00a0al.: Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection (2023). arXiv preprint arXiv:2303.05499"},{"key":"27_CR19","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin transformer: hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10012\u201310022 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"issue":"1","key":"27_CR20","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1145\/3503250","volume":"65","author":"B Mildenhall","year":"2021","unstructured":"Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: Nerf: representing scenes as neural radiance fields for view synthesis. Commun. ACM 65(1), 99\u2013106 (2021)","journal-title":"Commun. ACM"},{"issue":"4","key":"27_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3528223.3530127","volume":"41","author":"T M\u00fcller","year":"2022","unstructured":"M\u00fcller, T., Evans, A., Schied, C., Keller, A.: Instant neural graphics primitives with a multiresolution hash encoding. ACM Trans. Graph. (TOG) 41(4), 1\u201315 (2022)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"27_CR22","doi-asserted-by":"crossref","unstructured":"Neff, T., Stadlbauer, P., Parger, M., Kurz, A., Mueller, J.H., Chaitanya, C.R.A., Kaplanyan, A., Steinberger, M.: DONeRF: towards real-time rendering of compact neural radiance fields using depth oracle networks. In: Computer Graphics Forum, vol.\u00a040, pp. 45\u201359. Wiley Online Library (2021)","DOI":"10.1111\/cgf.14340"},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Piala, M., Clark, R.: TermiNeRF: ray termination prediction for efficient neural rendering. In: 2021 International Conference on 3D Vision (3DV), pp. 1106\u20131114. IEEE (2021)","DOI":"10.1109\/3DV53792.2021.00118"},{"key":"27_CR24","unstructured":"Ren, T., Liu, S., Zeng, A., Lin, J., Li, K., Cao, H., Chen, J., Huang, X., Chen, Y., Yan, F., et\u00a0al.: Grounded SAM: assembling open-world models for diverse visual tasks (2024). arXiv preprint arXiv:2401.14159"},{"key":"27_CR25","doi-asserted-by":"crossref","unstructured":"Sajjan, S., Moore, M., Pan, M., Nagaraja, G., Lee, J., Zeng, A., Song, S.: Clear grasp: 3D shape estimation of transparent objects for manipulation. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 3634\u20133642. IEEE (2020)","DOI":"10.1109\/ICRA40945.2020.9197518"},{"key":"27_CR26","unstructured":"Straub, J., Whelan, T., Ma, L., Chen, Y., Wijmans, E., Green, S., Engel, J.J., Mur-Artal, R., Ren, C., Verma, S., et\u00a0al.: The replica dataset: a digital replica of indoor spaces (2019). arXiv preprint arXiv:1906.05797"},{"key":"27_CR27","doi-asserted-by":"crossref","unstructured":"Tang, T., Liu, J., Zhang, J., Fu, H., Xu, W., Lu, C.: RFTrans: Leveraging refractive flow of transparent objects for surface normal estimation and manipulation. IEEE Robot. Autom. Lett. (2024)","DOI":"10.1109\/LRA.2024.3364837"},{"key":"27_CR28","doi-asserted-by":"crossref","unstructured":"Tsai, Y.H., Hung, W.C., Schulter, S., Sohn, K., Yang, M.H., Chandraker, M.: Learning to adapt structured output space for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7472\u20137481 (2018)","DOI":"10.1109\/CVPR.2018.00780"},{"key":"27_CR29","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Adv. Neural Inform. Process. Syst. 30 (2017)"},{"key":"27_CR30","doi-asserted-by":"crossref","unstructured":"Verbin, D., Hedman, P., Mildenhall, B., Zickler, T., Barron, J.T., Srinivasan, P.P.: Ref-NeRF: structured view-dependent appearance for neural radiance fields. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5481\u20135490. IEEE (2022)","DOI":"10.1109\/CVPR52688.2022.00541"},{"key":"27_CR31","doi-asserted-by":"crossref","unstructured":"Wang, W., Xie, E., Li, X., Fan, D.P., Song, K., Liang, D., Lu, T., Luo, P., Shao, L.: Pyramid vision transformer: a versatile backbone for dense prediction without convolutions. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 568\u2013578 (2021)","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"27_CR32","doi-asserted-by":"crossref","unstructured":"Xie, E., Wang, W., Wang, W., Ding, M., Shen, C., Luo, P.: Segmenting transparent objects in the wild. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XIII 16, pp. 696\u2013711. Springer (2020)","DOI":"10.1007\/978-3-030-58601-0_41"},{"key":"27_CR33","first-page":"4805","volume":"34","author":"L Yariv","year":"2021","unstructured":"Yariv, L., Gu, J., Kasten, Y., Lipman, Y.: Volume rendering of neural implicit surfaces. Adv. Neural. Inf. Process. Syst. 34, 4805\u20134815 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"27_CR34","doi-asserted-by":"crossref","unstructured":"Yu, A., Li, R., Tancik, M., Li, H., Ng, R., Kanazawa, A.: Plenoctrees for real-time rendering of neural radiance fields. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5752\u20135761 (2021)","DOI":"10.1109\/ICCV48922.2021.00570"},{"key":"27_CR35","doi-asserted-by":"crossref","unstructured":"Zheng, S., Lu, J., Zhao, H., Zhu, X., Luo, Z., Wang, Y., Fu, Y., Feng, J., Xiang, T., Torr, P.H., et\u00a0al.: Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6881\u20136890 (2021)","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"27_CR36","doi-asserted-by":"crossref","unstructured":"Zhu, J., Huo, Y., Ye, Q., Luan, F., Li, J., Xi, D., Wang, L., Tang, R., Hua, W., Bao, H., et\u00a0al.: I$$^{2}$$-SDF: Intrinsic indoor scene reconstruction and editing via raytracing in neural SDFs. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12489\u201312498 (2023)","DOI":"10.1109\/CVPR52729.2023.01202"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8508-7_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T06:17:19Z","timestamp":1730528239000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8508-7_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,3]]},"ISBN":["9789819785070","9789819785087"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8508-7_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,3]]},"assertion":[{"value":"3 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}