{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T04:48:29Z","timestamp":1751690909121,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":32,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819787913"},{"type":"electronic","value":"9789819787920"}],"license":[{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"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\/978-981-97-8792-0_7","type":"book-chapter","created":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T06:56:21Z","timestamp":1731048981000},"page":"89-102","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["From Point to\u00a0Surface: Realistic and\u00a0Perceptually-Plausible Hazy Image Generation with\u00a0Glow-Diffusion"],"prefix":"10.1007","author":[{"given":"Hanqing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qitao","family":"Dan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingfeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,9]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Anokhin, I., Solovev, P., Korzhenkov, D., Kharlamov, A., Khakhulin, T., Silvestrov, A., Nikolenko, S., Lempitsky, V., Sterkin, G.: High-resolution daytime translation without domain labels. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7488\u20137497 (2020)","DOI":"10.1109\/CVPR42600.2020.00751"},{"key":"7_CR2","unstructured":"Chandrasekhar, S.: Radiative Transfer. Courier Corporation (2013)"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Choi, Y., Uh, Y., Yoo, J., Ha, J.W.: Stargan v2: diverse image synthesis for multiple domains. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8188\u20138197 (2020)","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: The cityscapes dataset for semantic urban scene understanding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3213\u20133223 (2016)","DOI":"10.1109\/CVPR.2016.350"},{"issue":"2","key":"7_CR5","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1109\/TCSVT.2021.3063853","volume":"32","author":"Y Ding","year":"2021","unstructured":"Ding, Y., Li, M., Yan, T., Zhang, F., Liu, Y., Lau, R.W.: Rain streak removal from light field images. IEEE Trans. Circuits Syst. Video Technol. 32(2), 467\u2013482 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? the kitti vision benchmark suite. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3354\u20133361. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"issue":"11","key":"7_CR7","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Guizilini, V., Vasiljevic, I., Chen, D., Ambru\u015f, R., Gaidon, A.: Towards zero-shot scale-aware monocular depth estimation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9233\u20139243 (2023)","DOI":"10.1109\/ICCV51070.2023.00847"},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1155\/2014\/308629","volume":"2014","author":"F Guo","year":"2014","unstructured":"Guo, F., Tang, J., Xiao, X.: Foggy scene rendering based on transmission map estimation. Int. J. Comput. Games Technol. 2014, 10\u201310 (2014)","journal-title":"Int. J. Comput. Games Technol."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Hahner, M., Dai, D., Sakaridis, C., Zaech, J.N., Van\u00a0Gool, L.: Semantic understanding of foggy scenes with purely synthetic data. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 3675\u20133681. IEEE (2019)","DOI":"10.1109\/ITSC.2019.8917518"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Sun, J., Tang, X.: Fast matting using large kernel matting laplacian matrices. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2165\u20132172. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5539896"},{"key":"7_CR12","unstructured":"Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Hore, A., Ziou, D.: Image quality metrics: PSNR vs. SSIM. In: 2010 20th International Conference on Pattern Recognition, pp. 2366\u20132369. IEEE (2010)","DOI":"10.1109\/ICPR.2010.579"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Hou, Q., Zhou, D., Feng, J.: Coordinate attention for efficient mobile network design. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13713\u201313722 (2021)","DOI":"10.1109\/CVPR46437.2021.01350"},{"issue":"4","key":"7_CR15","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.1109\/TCSVT.2020.3003025","volume":"31","author":"DW Jaw","year":"2020","unstructured":"Jaw, D.W., Huang, S.C., Kuo, S.Y.: DesnowGAN: an efficient single image snow removal framework using cross-resolution lateral connection and GANs. IEEE Trans. Circuits Syst. Video Technol. 31(4), 1342\u20131350 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Ke, J., Wang, Q., Wang, Y., Milanfar, P., Yang, F.: Musiq: Multi-scale image quality transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5148\u20135157 (2021)","DOI":"10.1109\/ICCV48922.2021.00510"},{"key":"7_CR17","doi-asserted-by":"publisher","first-page":"76135","DOI":"10.1109\/ACCESS.2021.3082175","volume":"9","author":"M Kim","year":"2021","unstructured":"Kim, M., Hong, S., Lee, H., Kang, M.G.: Single image dehazing of road scenes using spatially adaptive atmospheric point spread function. IEEE Access 9, 76135\u201376152 (2021)","journal-title":"IEEE Access"},{"key":"7_CR18","unstructured":"Koschmieder, H.: Theorie der horizontalen sichtweite. Beitrage zur Physik der freien Atmosphare 33\u201353 (1924)"},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Li, B., Peng, X., Wang, Z., Xu, J., Feng, D.: Aod-net: all-in-one dehazing network. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4770\u20134778 (2017)","DOI":"10.1109\/ICCV.2017.511"},{"key":"7_CR20","unstructured":"Li, X., Kou, K., Zhao, B.: Weather GAN: Multi-domain weather translation using generative adversarial networks (2021). arXiv:2103.05422"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Li, Y., Yu, R., Shi, J., Wang, L.: Diff-HOD: diffusion model for object detection in hazy weather conditions. In: ICASSP 2024\u20132024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6285\u20136289. IEEE (2024)","DOI":"10.1109\/ICASSP48485.2024.10446872"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Metari, S., Deschenes, F.: A new convolution kernel for atmospheric point spread function applied to computer vision. In: 2007 IEEE 11th International Conference on Computer Vision, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/ICCV.2007.4408899"},{"key":"7_CR23","unstructured":"Narasimhan, S.G., Nayar, S.K.: Shedding light on the weather. In: 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. vol. 1, pp. I\u2013I. IEEE (2003)"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Shin, K., Kwon, Y.P., Tomizuka, M.: Roarnet: A robust 3d object detection based on region approximation refinement. In: 2019 IEEE Intelligent Vehicles Symposium (IV), pp. 2510\u20132515. IEEE (2019)","DOI":"10.1109\/IVS.2019.8813895"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Sun, C., Kong, B., He, L., Tian, Q.: An algorithm of imaging simulation of fog with different visibility. In: 2015 IEEE International Conference on Information and Automation, pp. 1607\u20131611. IEEE (2015)","DOI":"10.1109\/ICInfA.2015.7279542"},{"issue":"7","key":"7_CR26","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1021\/ed039p333","volume":"39","author":"DF Swinehart","year":"1962","unstructured":"Swinehart, D.F.: The beer-lambert law. J. Chem. Educ. 39(7), 333 (1962)","journal-title":"J. Chem. Educ."},{"issue":"15","key":"7_CR27","doi-asserted-by":"publisher","first-page":"16584","DOI":"10.1364\/OE.20.016584","volume":"20","author":"S Tao","year":"2012","unstructured":"Tao, S., Feng, H., Xu, Z., Li, Q.: Image degradation and recovery based on multiple scattering in remote sensing and bad weather condition. Opt. Express 20(15), 16584\u201316595 (2012)","journal-title":"Opt. Express"},{"key":"7_CR28","doi-asserted-by":"crossref","unstructured":"Wang, J., Wu, S., Yuan, Z., Tong, Q., Xu, K.: Frequency compensated diffusion model for real-scene dehazing. In: Neural Networks, p. 106281 (2024)","DOI":"10.1016\/j.neunet.2024.106281"},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Yao, J., Qian, Q., Hu, J.: Multi-modal proxy learning towards personalized visual multiple clustering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14066\u201314075 (2024)","DOI":"10.1109\/CVPR52733.2024.01334"},{"key":"7_CR30","unstructured":"Yao, J., Wu, T., Zhang, X.: Improving depth gradient continuity in transformers: a comparative study on monocular depth estimation with cnn (2023). arXiv:2308.08333"},{"issue":"7","key":"7_CR31","doi-asserted-by":"publisher","first-page":"4552","DOI":"10.1109\/TCSVT.2021.3130158","volume":"32","author":"C Zhang","year":"2021","unstructured":"Zhang, C., Lin, Z., Xu, L., Li, Z., Tang, W., Liu, Y., Meng, G., Wang, L., Li, L.: Density-aware haze image synthesis by self-supervised content-style disentanglement. IEEE Trans. Circuits Syst. Video Technol. 32(7), 4552\u20134572 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"7_CR32","doi-asserted-by":"crossref","unstructured":"Zhang, X., Dong, H., Pan, J., Zhu, C., Tai, Y., Wang, C., Li, J., Huang, F., Wang, F.: Learning to restore hazy video: a new real-world dataset and a new method. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9239\u20139248 (2021)","DOI":"10.1109\/CVPR46437.2021.00912"}],"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\/978-981-97-8792-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T07:05:56Z","timestamp":1731049556000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8792-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,9]]},"ISBN":["9789819787913","9789819787920"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8792-0_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,9]]},"assertion":[{"value":"9 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"}}]}}