{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T15:38:24Z","timestamp":1772897904074,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032051134","type":"print"},{"value":"9783032051141","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T00:00:00Z","timestamp":1758412800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T00:00:00Z","timestamp":1758412800000},"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\/978-3-032-05114-1_18","type":"book-chapter","created":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T14:11:28Z","timestamp":1758377488000},"page":"181-191","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Endo-4DGX: Robust Endoscopic Scene Reconstruction and\u00a0Illumination Correction with\u00a0Gaussian Splatting"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9754-8608","authenticated-orcid":false,"given":"Yiming","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7900-8032","authenticated-orcid":false,"given":"Beilei","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9767-3468","authenticated-orcid":false,"given":"Yanheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4312-7151","authenticated-orcid":false,"given":"Tong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4847-3697","authenticated-orcid":false,"given":"Jie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7877-5728","authenticated-orcid":false,"given":"Jinlin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0791-189X","authenticated-orcid":false,"given":"Zhen","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4315-7556","authenticated-orcid":false,"given":"Hongbin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6488-1551","authenticated-orcid":false,"given":"Hongliang","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,21]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Bai, L., et\u00a0al.: Endouic: promptable diffusion transformer for unified illumination correction in capsule endoscopy. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 296\u2013306. Springer (2024)","DOI":"10.1007\/978-3-031-72104-5_29"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Bai, L., Chen, T., Wu, Y., Wang, A., Islam, M., Ren, H.: Llcaps: learning to illuminate low-light capsule endoscopy with curved wavelet attention and reverse diffusion. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 34\u201344. Springer (2023)","DOI":"10.1007\/978-3-031-43999-5_4"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Bobrow, T.L., Golhar, M., Vijayan, R., Akshintala, V.S., Garcia, J.R., Durr, N.J.: Colonoscopy 3D video dataset with paired depth from 2D-3D registration. Medical Image Analysis p. 102956 (2023)","DOI":"10.1016\/j.media.2023.102956"},{"key":"18_CR4","unstructured":"Bradski, G.: The opencv library. Dr. Dobb\u2019s Journal of Software Tools (2000)"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Chen, T., et al.: Lightdiff: surgical endoscopic image low-light enhancement with t-diffusion. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 369\u2013379. Springer (2024)","DOI":"10.1007\/978-3-031-72089-5_35"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Cui, Z., Gu, L., Sun, X., Ma, X., Qiao, Y., Harada, T.: Aleth-nerf: Illumination adaptive nerf with concealing field assumption. In: Proceedings of the AAAI Conference on Artificial Intelligence (2024)","DOI":"10.1609\/aaai.v38i2.27908"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Garcia-Vega, A., et al.: Multi-scale structural-aware exposure correction for endoscopic imaging. In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp.\u00a01\u20135. IEEE (2023)","DOI":"10.1109\/ISBI53787.2023.10230724"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Guo, C., et al.: Zero-reference deep curve estimation for low-light image enhancement. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Hayoz, M., et al.: Learning how to robustly estimate camera pose in endoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 1185\u2014-1192 (2023)","DOI":"10.1007\/s11548-023-02919-w"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Huang, Y., et al.: Advancing dense endoscopic reconstruction with gaussian splatting-driven surface normal-aware tracking and mapping. arXiv preprint arXiv:2501.19319 (2025)","DOI":"10.1109\/ICRA55743.2025.11128637"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Huang, Y., et al.: Endo-4dgs: Endoscopic monocular scene reconstruction with 4D gaussian splatting. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 197\u2013207. Springer (2024)","DOI":"10.1007\/978-3-031-72089-5_19"},{"key":"18_CR12","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) (2023)","DOI":"10.1145\/3592433"},{"key":"18_CR13","unstructured":"Kulhanek, J., Peng, S., Kukelova, Z., Pollefeys, M., Sattler, T.: WildGaussians: 3D gaussian splatting in the wild. In: NeurIPS (2024)"},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Li, Y., Xu, K., Hancke, G.P., Lau, R.W.: Color shift estimation-and-correction for image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 25389\u201325398 (2024)","DOI":"10.1109\/CVPR52733.2024.02399"},{"key":"18_CR15","unstructured":"Liu, Y., Li, C., Yang, C., Yuan, Y.: Endogaussian: Gaussian splatting for deformable surgical scene reconstruction. arXiv preprint arXiv:2401.12561 (2024)"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Ma, Y., et al.: Cycle structure and illumination constrained gan for medical image enhancement. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part II 23, pp. 667\u2013677. Springer (2020)","DOI":"10.1007\/978-3-030-59713-9_64"},{"issue":"1","key":"18_CR17","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":"1","key":"18_CR18","doi-asserted-by":"publisher","first-page":"28","DOI":"10.3390\/jimaging10010028","volume":"10","author":"S Moghtaderi","year":"2024","unstructured":"Moghtaderi, S., Yaghoobian, O., Wahid, K.A., Lukong, K.E.: Endoscopic image enhancement: Wavelet transform and guided filter decomposition-based fusion approach. J. Imag. 10(1), 28 (2024)","journal-title":"J. Imag."},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Mou, E.: Global and local enhancement of low-light endoscopic images-[v2] (2023)","DOI":"10.20944\/preprints202311.1954.v1"},{"key":"18_CR20","unstructured":"Oquab, M., et\u00a0al.: Dinov2: learning robust visual features without supervision. arXiv preprint arXiv:2304.07193 (2023)"},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Wang, Y., Long, Y., Fan, S.H., Dou, Q.: Neural rendering for stereo 3D reconstruction of deformable tissues in robotic surgery. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 431\u2013441. Springer (2022)","DOI":"10.1007\/978-3-031-16449-1_41"},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Wu, G., et al.: 4d gaussian splatting for real-time dynamic scene rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20310\u201320320 (June 2024)","DOI":"10.1109\/CVPR52733.2024.01920"},{"issue":"4","key":"18_CR23","doi-asserted-by":"publisher","first-page":"1022","DOI":"10.1007\/s11263-022-01745-y","volume":"131","author":"KF Yang","year":"2023","unstructured":"Yang, K.F., Cheng, C., Zhao, S.X., Yan, H.M., Zhang, X.S., Li, Y.J.: Learning to adapt to light. Int. J. Comput. Vision 131(4), 1022\u20131041 (2023)","journal-title":"Int. J. Comput. Vision"},{"key":"18_CR24","doi-asserted-by":"crossref","unstructured":"Yang, L., Kang, B., Huang, Z., Xu, X., Feng, J., Zhao, H.: Depth anything: Unleashing the power of large-scale unlabeled data. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10371\u201310381 (2024)","DOI":"10.1109\/CVPR52733.2024.00987"},{"key":"18_CR25","doi-asserted-by":"crossref","unstructured":"Yang, S., Li, Q., Shen, D., Gong, B., Dou, Q., Jin, Y.: Deform3dgs: Flexible deformation for fast surgical scene reconstruction with gaussian splatting. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 132\u2013142. Springer (2024)","DOI":"10.1007\/978-3-031-72089-5_13"},{"key":"18_CR26","doi-asserted-by":"crossref","unstructured":"Yang, Z., Gao, X., Zhou, W., Jiao, S., Zhang, Y., Jin, X.: Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20331\u201320341 (2024)","DOI":"10.1109\/CVPR52733.2024.01922"},{"key":"18_CR27","doi-asserted-by":"crossref","unstructured":"Ye, S., Dong, Z.H., Hu, Y., Wen, Y.H., Liu, Y.J.: Gaussian in the dark: real-time view synthesis from inconsistent dark images using gaussian splatting. In: Computer Graphics Forum, vol.\u00a043, p. e15213. Wiley Online Library (2024)","DOI":"10.1111\/cgf.15213"},{"key":"18_CR28","doi-asserted-by":"crossref","unstructured":"Zha, R., Cheng, X., Li, H., Harandi, M., Ge, Z.: Endosurf: neural surface reconstruction of deformable tissues with stereo endoscope videos. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 13\u201323. Springer (2023)","DOI":"10.1007\/978-3-031-43996-4_2"},{"key":"18_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Nie, Y., Zheng, W.S.: Dual illumination estimation for robust exposure correction. In: Computer graphics forum, vol.\u00a038, pp. 243\u2013252. Wiley Online Library (2019)","DOI":"10.1111\/cgf.13833"},{"key":"18_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, T., Huang, K., Zhi, W., Johnson-Roberson, M.: Darkgs: learning neural illumination and 3d gaussians relighting for robotic exploration in the dark. In: 2024 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 12864\u201312871. IEEE (2024)","DOI":"10.1109\/IROS58592.2024.10802684"},{"key":"18_CR31","doi-asserted-by":"crossref","unstructured":"Zuo, X., Samangouei, P., Zhou, Y., Di, Y., Li, M.: Fmgs: Foundation model embedded 3d gaussian splatting for holistic 3D scene understanding. Int. J. Comput. Vision 1\u201317 (2024)","DOI":"10.1007\/s11263-024-02183-8"},{"key":"18_CR32","doi-asserted-by":"crossref","unstructured":"Zwicker, M., Pfister, H., Van\u00a0Baar, J., Gross, M.: Surface splatting. In: Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, pp. 371\u2013378 (2001)","DOI":"10.1145\/383259.383300"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05114-1_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T14:11:40Z","timestamp":1758377500000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05114-1_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,21]]},"ISBN":["9783032051134","9783032051141"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05114-1_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,21]]},"assertion":[{"value":"21 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that\u00a0are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","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":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}