{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T12:10:10Z","timestamp":1756123810091,"version":"3.44.0"},"reference-count":54,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003845","name":"Indian Institute of Technology Madras","doi-asserted-by":"publisher","award":["SB22231269EEETWO005001"],"award-info":[{"award-number":["SB22231269EEETWO005001"]}],"id":[{"id":"10.13039\/501100003845","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Vision and Image Understanding"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.cviu.2025.104444","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T14:49:40Z","timestamp":1752590980000},"page":"104444","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["S2DNet: A self-supervised deraining network using monocular videos"],"prefix":"10.1016","volume":"259","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4674-056X","authenticated-orcid":false,"given":"Aman","family":"Kumar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5959-6136","authenticated-orcid":false,"given":"Aditya","family":"Mohan","sequence":"additional","affiliation":[]},{"given":"A.N.","family":"Rajagopalan","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.cviu.2025.104444_b1","series-title":"Handbook of Mathematical Models in Computer Vision","article-title":"Total variation image restoration: Overview and recent developments","author":"Chan","year":"2006"},{"issue":"2","key":"10.1016\/j.cviu.2025.104444_b2","first-page":"1046","article-title":"Rethinking multi-scale representations in deep deraining transformer","volume":"38","author":"Chen","year":"2024","journal-title":"Proc. the AAAI Conf. Artif. Intell."},{"key":"10.1016\/j.cviu.2025.104444_b3","doi-asserted-by":"crossref","unstructured":"Chen,\u00a0C., Li,\u00a0H., 2021. Robust Representation Learning With Feedback for Single Image Deraining. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 7742\u20137751.","DOI":"10.1109\/CVPR46437.2021.00765"},{"key":"10.1016\/j.cviu.2025.104444_b4","doi-asserted-by":"crossref","unstructured":"Chen,\u00a0X., Li,\u00a0H., Li,\u00a0M., Pan,\u00a0J., 2023. Learning a sparse transformer network for effective image deraining. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5896\u20135905.","DOI":"10.1109\/CVPR52729.2023.00571"},{"key":"10.1016\/j.cviu.2025.104444_b5","doi-asserted-by":"crossref","unstructured":"Chen,\u00a0X., Pan,\u00a0J., Dong,\u00a0J., 2024b. Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR.","DOI":"10.1109\/CVPR52733.2024.02421"},{"key":"10.1016\/j.cviu.2025.104444_b6","doi-asserted-by":"crossref","unstructured":"Chen,\u00a0X., Pan,\u00a0J., Jiang,\u00a0K., Li,\u00a0Y., Huang,\u00a0Y., Kong,\u00a0C., Dai,\u00a0L., Fan,\u00a0Z., 2022. Unpaired deep image deraining using dual contrastive learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 2017\u20132026.","DOI":"10.1109\/CVPR52688.2022.00206"},{"key":"10.1016\/j.cviu.2025.104444_b7","doi-asserted-by":"crossref","unstructured":"Chen,\u00a0J., Tan,\u00a0C.-H., Hou,\u00a0J., Chau,\u00a0L.-P., Li,\u00a0H., 2018. Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. CVPR.","DOI":"10.1109\/CVPR.2018.00658"},{"key":"10.1016\/j.cviu.2025.104444_b8","doi-asserted-by":"crossref","unstructured":"Chen,\u00a0H., Wang,\u00a0Y., Guo,\u00a0T., Xu,\u00a0C., Deng,\u00a0Y., Liu,\u00a0Z., Ma,\u00a0S., Xu,\u00a0C., Xu,\u00a0C., Gao,\u00a0W., 2021. Pre-Trained Image Processing Transformer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 12299\u201312310.","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"10.1016\/j.cviu.2025.104444_b9","series-title":"Proceedings of the 26th ACM International Conference on Multimedia","first-page":"1751","article-title":"Residual-guide network for single image deraining","author":"Fan","year":"2018"},{"issue":"6","key":"10.1016\/j.cviu.2025.104444_b10","doi-asserted-by":"crossref","first-page":"2944","DOI":"10.1109\/TIP.2017.2691802","article-title":"Clearing the skies: A deep network architecture for single-image rain removal","volume":"26","author":"Fu","year":"2017","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2025.104444_b11","doi-asserted-by":"crossref","unstructured":"Fu,\u00a0X., Huang,\u00a0J., Zeng,\u00a0D., Huang,\u00a0Y., Ding,\u00a0X., Paisley,\u00a0J., 2017b. Removing Rain From Single Images via a Deep Detail Network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. CVPR.","DOI":"10.1109\/CVPR.2017.186"},{"key":"10.1016\/j.cviu.2025.104444_b12","series-title":"Tenth IEEE International Conference on Computer Vision (ICCV\u201905) Volume 1","first-page":"1067","article-title":"When does a camera see rain?","volume":"2","author":"Garg","year":"2005"},{"key":"10.1016\/j.cviu.2025.104444_b13","doi-asserted-by":"crossref","unstructured":"Godard,\u00a0C., Mac\u00a0Aodha,\u00a0O., Brostow,\u00a0G.J., 2017. Unsupervised Monocular Depth Estimation With Left-Right Consistency. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. CVPR.","DOI":"10.1109\/CVPR.2017.699"},{"key":"10.1016\/j.cviu.2025.104444_b14","doi-asserted-by":"crossref","unstructured":"Godard,\u00a0C., Mac\u00a0Aodha,\u00a0O., Firman,\u00a0M., Brostow,\u00a0G.J., 2019. Digging Into Self-Supervised Monocular Depth Estimation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. ICCV.","DOI":"10.1109\/ICCV.2019.00393"},{"key":"10.1016\/j.cviu.2025.104444_b15","doi-asserted-by":"crossref","unstructured":"Gu,\u00a0S., Meng,\u00a0D., Zuo,\u00a0W., Zhang,\u00a0L., 2017. Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1708\u20131716.","DOI":"10.1109\/ICCV.2017.189"},{"key":"10.1016\/j.cviu.2025.104444_b16","doi-asserted-by":"crossref","unstructured":"Guo,\u00a0Y., Xiao,\u00a0X., Chang,\u00a0Y., Deng,\u00a0S., Yan,\u00a0L., 2023. From sky to the ground: A large-scale benchmark and simple baseline towards real rain removal. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision.","DOI":"10.1109\/ICCV51070.2023.01111"},{"key":"10.1016\/j.cviu.2025.104444_b17","doi-asserted-by":"crossref","unstructured":"He,\u00a0K., Zhang,\u00a0X., Ren,\u00a0S., Sun,\u00a0J., 2016. Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.","DOI":"10.1109\/CVPR.2016.90"},{"key":"10.1016\/j.cviu.2025.104444_b18","doi-asserted-by":"crossref","unstructured":"Hu,\u00a0X., Fu,\u00a0C.-W., Zhu,\u00a0L., Heng,\u00a0P.-A., 2019. Depth-attentional features for single-image rain removal. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 8022\u20138031.","DOI":"10.1109\/CVPR.2019.00821"},{"key":"10.1016\/j.cviu.2025.104444_b19","doi-asserted-by":"crossref","unstructured":"Hu,\u00a0X., Zhu,\u00a0L., Fu,\u00a0C.-W., Qin,\u00a0J., Heng,\u00a0P.-A., 2018. Direction-aware spatial context features for shadow detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 7454\u20137462.","DOI":"10.1109\/CVPR.2018.00778"},{"key":"10.1016\/j.cviu.2025.104444_b20","article-title":"Spatial transformer networks","volume":"28","author":"Jaderberg","year":"2015","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.cviu.2025.104444_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2020.103106","article-title":"Single image rain removal via multi-module deep grid network","volume":"202","author":"Jiang","year":"2021","journal-title":"Comput. Vis. Image Underst."},{"issue":"9","key":"10.1016\/j.cviu.2025.104444_b22","doi-asserted-by":"crossref","first-page":"2658","DOI":"10.1109\/TIP.2015.2428933","article-title":"Video deraining and desnowing using temporal correlation and low-rank matrix completion","volume":"24","author":"Kim","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2025.104444_b23","doi-asserted-by":"crossref","unstructured":"Li,\u00a0B., Liu,\u00a0X., Hu,\u00a0P., Wu,\u00a0Z., Lv,\u00a0J., Peng,\u00a0X., 2022a. All-in-one Image Restoration for Unknown Corruption. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 17452\u201317462.","DOI":"10.1109\/CVPR52688.2022.01693"},{"key":"10.1016\/j.cviu.2025.104444_b24","doi-asserted-by":"crossref","unstructured":"Li,\u00a0Y., Tan,\u00a0R.T., Guo,\u00a0X., Lu,\u00a0J., Brown,\u00a0M.S., 2016. Rain streak removal using layer priors. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2736\u20132744.","DOI":"10.1109\/CVPR.2016.299"},{"key":"10.1016\/j.cviu.2025.104444_b25","doi-asserted-by":"crossref","unstructured":"Li,\u00a0X., Wu,\u00a0J., Lin,\u00a0Z., Liu,\u00a0H., Zha,\u00a0H., 2018. Recurrent squeeze-and-excitation context aggregation net for single image deraining. In: Proceedings of the European Conference on Computer Vision. ECCV, pp. 254\u2013269.","DOI":"10.1007\/978-3-030-01234-2_16"},{"year":"2022","series-title":"Toward real-world single image deraining: A new benchmark and beyond","author":"Li","key":"10.1016\/j.cviu.2025.104444_b26"},{"key":"10.1016\/j.cviu.2025.104444_b27","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2022.103612","article-title":"Recurrent context-aware multi-stage network for single image deraining","volume":"227","author":"Liu","year":"2023","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.cviu.2025.104444_b28","doi-asserted-by":"crossref","unstructured":"Luo,\u00a0Y., Xu,\u00a0Y., Ji,\u00a0H., 2015. Removing Rain From a Single Image via Discriminative Sparse Coding. In: Proceedings of the IEEE International Conference on Computer Vision. ICCV, pp. 3397\u20133405.","DOI":"10.1109\/ICCV.2015.388"},{"key":"10.1016\/j.cviu.2025.104444_b29","series-title":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing","first-page":"1","article-title":"Rain2Avoid: Self-supervised single image deraining","author":"Peng","year":"2023"},{"key":"10.1016\/j.cviu.2025.104444_b30","doi-asserted-by":"crossref","unstructured":"Quan,\u00a0R., Yu,\u00a0X., Liang,\u00a0Y., Yang,\u00a0Y., 2021. Removing Raindrops and Rain Streaks in One Go. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 9147\u20139156.","DOI":"10.1109\/CVPR46437.2021.00903"},{"key":"10.1016\/j.cviu.2025.104444_b31","doi-asserted-by":"crossref","unstructured":"Rai,\u00a0S.N., Saluja,\u00a0R., Arora,\u00a0C., Balasubramanian,\u00a0V.N., Subramanian,\u00a0A., Jawahar,\u00a0C., 2022. Fluid: Few-shot self-supervised image deraining. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. pp. 3077\u20133086.","DOI":"10.1109\/WACV51458.2022.00049"},{"key":"10.1016\/j.cviu.2025.104444_b32","series-title":"2020 IEEE International Conference on Multimedia and Expo","first-page":"1","article-title":"Single image rain removal boosting via directional gradient","author":"Ran","year":"2020"},{"issue":"6","key":"10.1016\/j.cviu.2025.104444_b33","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.cviu.2025.104444_b34","doi-asserted-by":"crossref","unstructured":"Ren,\u00a0D., Zuo,\u00a0W., Hu,\u00a0Q., Zhu,\u00a0P., Meng,\u00a0D., 2019. Progressive image deraining networks: A better and simpler baseline. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 3937\u20133946.","DOI":"10.1109\/CVPR.2019.00406"},{"year":"2014","series-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","key":"10.1016\/j.cviu.2025.104444_b35"},{"issue":"4","key":"10.1016\/j.cviu.2025.104444_b36","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: from error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2025.104444_b37","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1109\/TIP.2023.3334556","article-title":"Multi-scale fusion and decomposition network for single image deraining","volume":"33","author":"Wang","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2025.104444_b38","doi-asserted-by":"crossref","unstructured":"Wang,\u00a0Y., Song,\u00a0Y., Ma,\u00a0C., Zeng,\u00a0B., 2020. Rethinking image deraining via rain streaks and vapors. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, 2020, Proceedings. pp. 367\u2013382.","DOI":"10.1007\/978-3-030-58520-4_22"},{"key":"10.1016\/j.cviu.2025.104444_b39","doi-asserted-by":"crossref","unstructured":"Wang,\u00a0T., Yang,\u00a0X., Xu,\u00a0K., Chen,\u00a0S., Zhang,\u00a0Q., Lau,\u00a0R.W., 2019. Spatial attentive single-image deraining with a high quality real rain dataset. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 12270\u201312279.","DOI":"10.1109\/CVPR.2019.01255"},{"key":"10.1016\/j.cviu.2025.104444_b40","series-title":"2021 IEEE International Conference on Multimedia and Expo","first-page":"1","article-title":"Semi-deraingan: A new semi-supervised single image deraining","author":"Wei","year":"2021"},{"key":"10.1016\/j.cviu.2025.104444_b41","doi-asserted-by":"crossref","first-page":"8497","DOI":"10.1109\/TIP.2021.3116794","article-title":"Intensity-aware single-image deraining with semantic and color regularization","volume":"30","author":"Xu","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.cviu.2025.104444_b42","doi-asserted-by":"crossref","unstructured":"Yan,\u00a0W., Tan,\u00a0R.T., Yang,\u00a0W., Dai,\u00a0D., 2021. Self-aligned video deraining with transmission-depth consistency. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 11966\u201311976.","DOI":"10.1109\/CVPR46437.2021.01179"},{"key":"10.1016\/j.cviu.2025.104444_b43","doi-asserted-by":"crossref","unstructured":"Yang,\u00a0L., Kang,\u00a0B., Huang,\u00a0Z., Xu,\u00a0X., Feng,\u00a0J., Zhao,\u00a0H., 2024. 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.","DOI":"10.1109\/CVPR52733.2024.00987"},{"key":"10.1016\/j.cviu.2025.104444_b44","series-title":"ACM International Conference on Multimedia","first-page":"1814","article-title":"Single image deraining via recurrent hierarchy enhancement network","author":"Yang","year":"2019"},{"key":"10.1016\/j.cviu.2025.104444_b45","doi-asserted-by":"crossref","unstructured":"Yang,\u00a0W., Tan,\u00a0R.T., Feng,\u00a0J., Liu,\u00a0J., Guo,\u00a0Z., Yan,\u00a0S., 2017. Deep joint rain detection and removal from a single image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1357\u20131366.","DOI":"10.1109\/CVPR.2017.183"},{"key":"10.1016\/j.cviu.2025.104444_b46","doi-asserted-by":"crossref","unstructured":"Yang,\u00a0W., Tan,\u00a0R.T., Wang,\u00a0S., Liu,\u00a0J., 2020. Self-learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 1720\u20131729.","DOI":"10.1109\/CVPR42600.2020.00179"},{"key":"10.1016\/j.cviu.2025.104444_b47","doi-asserted-by":"crossref","unstructured":"Yasarla,\u00a0R., Sindagi,\u00a0V.A., Patel,\u00a0V.M., 2020. Syn2real transfer learning for image deraining using gaussian processes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 2726\u20132736.","DOI":"10.1109\/CVPR42600.2020.00280"},{"key":"10.1016\/j.cviu.2025.104444_b48","doi-asserted-by":"crossref","unstructured":"Ye,\u00a0Y., Yu,\u00a0C., Chang,\u00a0Y., Zhu,\u00a0L., Zhao,\u00a0X.-l., Yan,\u00a0L., Tian,\u00a0Y., 2022. Unsupervised deraining: Where contrastive learning meets self-similarity. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5821\u20135830.","DOI":"10.1109\/CVPR52688.2022.00573"},{"key":"10.1016\/j.cviu.2025.104444_b49","doi-asserted-by":"crossref","unstructured":"Yu,\u00a0C., Chang,\u00a0Y., Li,\u00a0Y., Zhao,\u00a0X., Yan,\u00a0L., 2021. Unsupervised image deraining: Optimization model driven deep cnn. In: Proceedings of the 29th ACM International Conference on Multimedia. pp. 2634\u20132642.","DOI":"10.1145\/3474085.3475441"},{"key":"10.1016\/j.cviu.2025.104444_b50","doi-asserted-by":"crossref","unstructured":"Zamir,\u00a0S.W., Arora,\u00a0A., Khan,\u00a0S., Hayat,\u00a0M., Khan,\u00a0F.S., Yang,\u00a0M.-H., Shao,\u00a0L., 2022. Restormer: Efficient Transformer for High-Resolution Image Restoration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 4772\u20134782.","DOI":"10.1109\/CVPR52688.2022.00564"},{"issue":"11","key":"10.1016\/j.cviu.2025.104444_b51","doi-asserted-by":"crossref","first-page":"3943","DOI":"10.1109\/TCSVT.2019.2920407","article-title":"Image de-raining using a conditional generative adversarial network","volume":"30","author":"Zhang","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.cviu.2025.104444_b52","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2023.103766","article-title":"Memory-efficient multi-scale residual dense network for single image rain removal","volume":"235","author":"Zheng","year":"2023","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.cviu.2025.104444_b53","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2024.104097","article-title":"UC-former: A multi-scale image deraining network using enhanced transformer","volume":"248","author":"Zhou","year":"2024","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.cviu.2025.104444_b54","doi-asserted-by":"crossref","unstructured":"Zhu,\u00a0J.-Y., Park,\u00a0T., Isola,\u00a0P., Efros,\u00a0A.A., 2017. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. In: Computer Vision (ICCV), 2017 IEEE International Conference on.","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Computer Vision and Image Understanding"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1077314225001675?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1077314225001675?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T11:34:20Z","timestamp":1756121660000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1077314225001675"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":54,"alternative-id":["S1077314225001675"],"URL":"https:\/\/doi.org\/10.1016\/j.cviu.2025.104444","relation":{},"ISSN":["1077-3142"],"issn-type":[{"type":"print","value":"1077-3142"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"S2DNet: A self-supervised deraining network using monocular videos","name":"articletitle","label":"Article Title"},{"value":"Computer Vision and Image Understanding","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cviu.2025.104444","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104444"}}