{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T05:01:33Z","timestamp":1770699693162,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819569564","type":"print"},{"value":"9789819569571","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\/978-981-95-6957-1_10","type":"book-chapter","created":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T10:44:57Z","timestamp":1770633897000},"page":"134-148","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["PSR-Diff: Polarization-Guided Diffusion Model for\u00a0Single Image Specular Highlight Removal"],"prefix":"10.1007","author":[{"given":"Guobin","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaojing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qihang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinrong","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,10]]},"reference":[{"issue":"7","key":"10_CR1","first-page":"3523","volume":"44","author":"S Minaee","year":"2021","unstructured":"Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N., Terzopoulos, D.: Image segmentation using deep learning: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7), 3523\u20133542 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Zhao, Z.Q., Zheng, P., Xu, S.T., Wu, X.: Object detection with deep learning: a review. IEEE Trans. Neural Netw. Learn. Syst. 30(11), 3212\u20133232 (2019)","DOI":"10.1109\/TNNLS.2018.2876865"},{"issue":"2","key":"10_CR3","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.1109\/TVCG.2020.2976986","volume":"28","author":"S Jiddi","year":"2020","unstructured":"Jiddi, S., Robert, P., Marchand, E.: Detecting specular reflections and cast shadows to estimate reflectance and illumination of dynamic indoor scenes. IEEE Trans. Visual Comput. Graphics 28(2), 1249\u20131260 (2020)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"issue":"6","key":"10_CR4","doi-asserted-by":"publisher","first-page":"1304","DOI":"10.1109\/TPAMI.2014.2360402","volume":"37","author":"Q Yang","year":"2014","unstructured":"Yang, Q., Tang, J., Ahuja, N.: Efficient and robust specular highlight removal. IEEE Trans. Pattern Anal. Mach. Intell. 37(6), 1304\u20131311 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Fu, G., Zhang, Q., Song, C., Lin, Q., Xiao, C.: Specular highlight removal for real-world images. In: Computer Graphics Forum, vol.\u00a038, pp. 253\u2013263. Wiley Online Library (2019)","DOI":"10.1111\/cgf.13834"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Funke, I., Bodenstedt, S., Riediger, C., Weitz, J., Speidel, S.: Generative adversarial networks for specular highlight removal in endoscopic images. In: Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 10576, pp. 8\u201316. SPIE (2018)","DOI":"10.1117\/12.2293755"},{"issue":"5","key":"10_CR7","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1109\/TPAMI.2004.1273960","volume":"26","author":"S Umeyama","year":"2004","unstructured":"Umeyama, S., Godin, G.: Separation of diffuse and specular components of surface reflection by use of polarization and statistical analysis of images. IEEE Trans. Pattern Anal. Mach. Intell. 26(5), 639\u2013647 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10_CR8","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1002\/col.5080100409","volume":"10","author":"SA Shafer","year":"1985","unstructured":"Shafer, S.A.: Using color to separate reflection components. Color. Res. Appl. 10(4), 210\u2013218 (1985)","journal-title":"Color. Res. Appl."},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Quan, L., Shum, H.Y., et\u00a0al.: Highlight removal by illumination-constrained inpainting. In: Proceedings Ninth IEEE International Conference on Computer Vision, pp. 164\u2013169. IEEE (2003)","DOI":"10.1109\/ICCV.2003.1238333"},{"issue":"2","key":"10_CR10","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1109\/TPAMI.2005.36","volume":"27","author":"RT Tan","year":"2005","unstructured":"Tan, R.T., Ikeuchi, K.: Separating reflection components of textured surfaces using a single image. IEEE Trans. Pattern Anal. Mach. Intell. 27(2), 178\u2013193 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"19","key":"10_CR11","doi-asserted-by":"publisher","first-page":"4483","DOI":"10.1364\/AO.52.004483","volume":"52","author":"HL Shen","year":"2013","unstructured":"Shen, H.L., Zheng, Z.H.: Real-time highlight removal using intensity ratio. Appl. Opt. 52(19), 4483\u20134493 (2013)","journal-title":"Appl. Opt."},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.patrec.2022.06.014","volume":"161","author":"G Hu","year":"2022","unstructured":"Hu, G., Zheng, Y., Yan, H., Hua, G., Yan, Y.: Mask-guided cycle-GAN for specular highlight removal. Pattern Recogn. Lett. 161, 108\u2013114 (2022)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"10_CR13","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1109\/TIM.2018.2838819","volume":"68","author":"A Dashpute","year":"2018","unstructured":"Dashpute, A., Anand, C., Sarkar, M.: Depth resolution enhancement in time-of-flight cameras using polarization state of the reflected light. IEEE Trans. Instrum. Meas. 68(1), 160\u2013168 (2018)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Lei, C., Huang, X., Zhang, M., Yan, Q., Sun, W., Chen, Q.: Polarized reflection removal with perfect alignment in the wild. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1750\u20131758 (2020)","DOI":"10.1109\/CVPR42600.2020.00182"},{"key":"10_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.126769","volume":"559","author":"A Anwer","year":"2023","unstructured":"Anwer, A., Ainouz, S., Saad, N.M., Ali, S.S.A., Meriaudeau, F.: Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric data. Neurocomputing 559, 126769 (2023)","journal-title":"Neurocomputing"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Verdi\u00e9, Y., Song, J., Mas, B., Busam, B., Leonardis, A., McDonagh, S.: Cromo: cross-modal learning for monocular depth estimation. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3927\u20133937. IEEE (2022)","DOI":"10.1109\/CVPR52688.2022.00391"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Ikemura, K., Huang, Y., Heide, F., Zhang, Z., Chen, Q., Lei, C.: Robust depth enhancement via polarization prompt fusion tuning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20710\u201320720 (2024)","DOI":"10.1109\/CVPR52733.2024.01957"},{"key":"10_CR18","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."},{"issue":"4","key":"10_CR19","first-page":"4713","volume":"45","author":"C Saharia","year":"2022","unstructured":"Saharia, C., Ho, J., Chan, W., Salimans, T., Fleet, D.J., Norouzi, M.: Image super-resolution via iterative refinement. IEEE Trans. Pattern Anal. Mach. Intell. 45(4), 4713\u20134726 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Lugmayr, A., Danelljan, M., Romero, A., Yu, F., Timofte, R., Van\u00a0Gool, L.: Repaint: inpainting using denoising diffusion probabilistic models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11461\u201311471 (2022)","DOI":"10.1109\/CVPR52688.2022.01117"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Whang, J., Delbracio, M., Talebi, H., Saharia, C., Dimakis, A.G., Milanfar, P.: Deblurring via stochastic refinement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16293\u201316303 (2022)","DOI":"10.1109\/CVPR52688.2022.01581"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Yao, M., Wang, M., Tam, K.M., Li, L., Xue, T., Gu, J.: Polarfree: polarization-based reflection-free imaging. In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 10890\u201310899 (2025)","DOI":"10.1109\/CVPR52734.2025.01017"},{"key":"10_CR23","unstructured":"Ye, H., Xu, D.T.: Spatial-channel multi-task prompting for dense scene understanding. In: Proceedings of the Eleventh International Conference on Learning Representations, Kigali, Rwanda, pp.\u00a01\u20135 (2023)"},{"key":"10_CR24","doi-asserted-by":"publisher","first-page":"3782","DOI":"10.1109\/TMM.2021.3107688","volume":"24","author":"Z Wu","year":"2021","unstructured":"Wu, Z., et al.: Single-image specular highlight removal via real-world dataset construction. IEEE Trans. Multimedia 24, 3782\u20133793 (2021)","journal-title":"IEEE Trans. Multimedia"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Fu, G., Zhang, Q., Zhu, L., Li, P., Xiao, C.: A multi-task network for joint specular highlight detection and removal. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7752\u20137761 (2021)","DOI":"10.1109\/CVPR46437.2021.00766"},{"key":"10_CR26","doi-asserted-by":"crossref","unstructured":"Akashi, Y., Okatani, T.: Separation of reflection components by sparse non-negative matrix factorization. In: Asian Conference on Computer Vision, pp. 611\u2013625. Springer (2014)","DOI":"10.1007\/978-3-319-16814-2_40"},{"issue":"2","key":"10_CR27","first-page":"92","volume":"7","author":"T Yamamoto","year":"2019","unstructured":"Yamamoto, T., Nakazawa, A.: General improvement method of specular component separation using high-emphasis filter and similarity function. ITE Trans. Media Technol. Appl. 7(2), 92\u2013102 (2019)","journal-title":"ITE Trans. Media Technol. Appl."},{"issue":"1","key":"10_CR28","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s41095-022-0273-9","volume":"9","author":"Z Wu","year":"2023","unstructured":"Wu, Z., Guo, J., Zhuang, C., Xiao, J., Yan, D.M., Zhang, X.: Joint specular highlight detection and removal in single images via unet-transformer. Comput. Visual Media 9(1), 141\u2013154 (2023)","journal-title":"Comput. Visual Media"},{"key":"10_CR29","doi-asserted-by":"crossref","unstructured":"Yang, Q., Wang, S., Ahuja, N.: Real-time specular highlight removal using bilateral filtering. In: European Conference on Computer Vision, pp. 87\u2013100. Springer (2010)","DOI":"10.1007\/978-3-642-15561-1_7"},{"key":"10_CR30","doi-asserted-by":"crossref","unstructured":"Guo, J., Zhou, Z., Wang, L.: Single image highlight removal with a sparse and low-rank reflection model. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 268\u2013283 (2018)","DOI":"10.1007\/978-3-030-01225-0_17"},{"key":"10_CR31","doi-asserted-by":"crossref","unstructured":"Shi, J., Dong, Y., Su, H., Yu, S.X.: Learning non-lambertian object intrinsics across shapenet categories. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1685\u20131694 (2017)","DOI":"10.1109\/CVPR.2017.619"},{"key":"10_CR32","first-page":"1","volume":"72","author":"S Yuan","year":"2023","unstructured":"Yuan, S., Li, L., Chen, H., Li, X.: Surface defect detection of highly reflective leather based on dual-mask-guided deep-learning model. IEEE Trans. Instrum. Meas. 72, 1\u201313 (2023)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2019.11.001","volume":"93","author":"S Muhammad","year":"2020","unstructured":"Muhammad, S., Dailey, M.N., Farooq, M., Majeed, M.F., Ekpanyapong, M.: Spec-net and spec-cgan: deep learning models for specularity removal from faces. Image Vis. Comput. 93, 103823 (2020)","journal-title":"Image Vis. Comput."}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-6957-1_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T10:45:05Z","timestamp":1770633905000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-6957-1_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819569564","9789819569571"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-6957-1_10","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":"10 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 January 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 January 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mmm2026.cz\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}