{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T03:09:56Z","timestamp":1767323396853,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":26,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819557363","type":"print"},{"value":"9789819557370","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-5737-0_38","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T03:06:30Z","timestamp":1767323190000},"page":"540-554","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Physics-Aware Lighting Gaussian-Embedded-Mesh Avatars from\u00a0Monocular Video"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8089-1305","authenticated-orcid":false,"given":"Zhihong","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinrong","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saishang","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinxing","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziwei","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Alldieck, T., Magnor, M., Xu, W., Theobalt, C., Pons-Moll, G.: Video based reconstruction of 3D people models. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8387\u20138397 (2018)","DOI":"10.1109\/CVPR.2018.00875"},{"key":"38_CR2","unstructured":"Chen, J., et al.: Animatable neural radiance fields from monocular RGB videos. arXiv preprint arXiv:2106.13629 (2021)"},{"issue":"10","key":"38_CR3","doi-asserted-by":"publisher","first-page":"11796","DOI":"10.1109\/TPAMI.2023.3271569","volume":"45","author":"X Chen","year":"2023","unstructured":"Chen, X., et al.: Fast-SNARF: a fast deformer for articulated neural fields. IEEE Trans. Pattern Anal. Mach. Intell. 45(10), 11796\u201311809 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Hu, L., et al.: GaussianAvatar: towards realistic human avatar modeling from a single video via animatable 3D gaussians. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 634\u2013644 (2024)","DOI":"10.1109\/CVPR52733.2024.00067"},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Jiang, T., Chen, X., Song, J., Hilliges, O.: InstantAvatar: learning avatars from monocular video in 60 seconds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16922\u201316932 (2023)","DOI":"10.1109\/CVPR52729.2023.01623"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Jiang, Y., Yao, K., Su, Z., Shen, Z., Luo, H., Xu, L.: Instant-NVR: instant neural volumetric rendering for human-object interactions from monocular RGBd stream. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 595\u2013605 (2023)","DOI":"10.1109\/CVPR52729.2023.00065"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Joo, H., et al.: Panoptic studio: a massively multiview system for social motion capture. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3334\u20133342 (2015)","DOI":"10.1109\/ICCV.2015.381"},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Kerbl, B., Kopanas, G., Leimk\u00fchler, T., Drettakis, G.: 3D gaussian splatting for real-time radiance field rendering. ACM Trans. Graph. 42(4), 139-1 (2023)","DOI":"10.1145\/3592433"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Laine, S., Hellsten, J., Karras, T., Seol, Y., Lehtinen, J., Aila, T.: Modular primitives for high-performance differentiable rendering. ACM Trans. Graph. 39(6) (2020)","DOI":"10.1145\/3414685.3417861"},{"issue":"6","key":"38_CR10","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1145\/2661229.2661273","volume":"33","author":"M Loper","year":"2014","unstructured":"Loper, M., Mahmood, N., Black, M.J.: MoSh: motion and shape capture from sparse markers. ACM Trans. Graph. 33(6), 220\u20131 (2014)","journal-title":"ACM Trans. Graph."},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMPL: a skinned multi-person linear model. ACM Trans. Graph. 34(6) (2015)","DOI":"10.1145\/2816795.2818013"},{"issue":"1","key":"38_CR12","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"},{"key":"38_CR13","unstructured":"Oktay, O., et\u00a0al.: Attention U-Net: learning where to look for the pancreas. arXiv preprint arXiv:1804.03999 (2018)"},{"key":"38_CR14","doi-asserted-by":"publisher","unstructured":"Paudel, P., Khanal, A., Paudel, D.P., Tandukar, J., Chhatkuli, A.: iHuman: instant animatable digital humans from monocular videos. In: European Conference on Computer Vision, pp. 304\u2013323. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-73226-3_18","DOI":"10.1007\/978-3-031-73226-3_18"},{"key":"38_CR15","doi-asserted-by":"crossref","unstructured":"Peng, S., et al.: RMAvatar: photorealistic human avatar reconstruction from monocular video based on rectified mesh-embedded gaussians. arXiv preprint arXiv:2501.07104 (2025)","DOI":"10.1016\/j.gmod.2025.101266"},{"key":"38_CR16","doi-asserted-by":"crossref","unstructured":"Peng, S., et al.: Neural Body: implicit neural representations with structured latent codes for novel view synthesis of dynamic humans. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9054\u20139063 (2021)","DOI":"10.1109\/CVPR46437.2021.00894"},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Saito, S., Simon, T., Saragih, J., Joo, H.: PIFuHD: multi-level pixel-aligned implicit function for high-resolution 3D human digitization. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00016"},{"key":"38_CR18","doi-asserted-by":"crossref","unstructured":"Shao, Z., et al.: SplattingAvatar: realistic real-time human avatars with mesh-embedded gaussian splatting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1606\u20131616 (2024)","DOI":"10.1109\/CVPR52733.2024.00159"},{"issue":"4","key":"38_CR19","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"38_CR20","doi-asserted-by":"crossref","unstructured":"Wen, J., Zhao, X., Ren, Z., Schwing, A.G., Wang, S.: GoMAvatar: efficient animatable human modeling from monocular video using gaussians-on-mesh. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2059\u20132069 (2024)","DOI":"10.1109\/CVPR52733.2024.00201"},{"key":"38_CR21","doi-asserted-by":"crossref","unstructured":"Weng, C.Y., Curless, B., Srinivasan, P.P., Barron, J.T., Kemelmacher-Shlizerman, I.: HumanNeRF: free-viewpoint rendering of moving people from monocular video. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern Recognition, pp. 16210\u201316220 (2022)","DOI":"10.1109\/CVPR52688.2022.01573"},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Xiu, Y., Yang, J., Cao, X., Tzionas, D., Black, M.J.: ECON: explicit clothed humans optimized via normal integration. Comput. Vis. Pattern Recogn. (2022)","DOI":"10.1109\/CVPR52729.2023.00057"},{"key":"38_CR23","doi-asserted-by":"crossref","unstructured":"Yu, Z., Cheng, W., Liu, X., Wu, W., Lin, K.Y.: MonoHuman: animatable human neural field from monocular video. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16943\u201316953 (2023)","DOI":"10.1109\/CVPR52729.2023.01625"},{"key":"38_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"38_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, R., Chen, J.: Mesh-centric gaussian splatting for human avatar modelling with real-time dynamic mesh reconstruction. In: Proceedings of the 32nd ACM International Conference on Multimedia, pp. 6823\u20136832 (2024)","DOI":"10.1145\/3664647.3680821"},{"key":"38_CR26","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Yifan, W., Wetzstein, G., Black, M.J., Hilliges, O.: PointAvatar: deformable point-based head avatars from videos. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 21057\u201321067 (2023)","DOI":"10.1109\/CVPR52729.2023.02017"}],"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\/978-981-95-5737-0_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T03:06:32Z","timestamp":1767323192000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5737-0_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819557363","9789819557370"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5737-0_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","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":"Shanghai","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2025.prcv.cn\/index.asp","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}