{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:15:21Z","timestamp":1765340121964,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","funder":[{"name":"The 'Pioneer' and 'Leading Goose' R\\&D Program of Zhejiang","award":["2025C02110"],"award-info":[{"award-number":["2025C02110"]}]},{"name":"Public Welfare Research Program of Ningbo","award":["2024S062"],"award-info":[{"award-number":["2024S062"]}]},{"name":"Yongjiang Talent Project of Ningbo","award":["2024A-161-G"],"award-info":[{"award-number":["2024A-161-G"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755866","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:38:54Z","timestamp":1761377934000},"page":"5296-5305","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4032-9257","authenticated-orcid":false,"given":"Hanting","family":"Wang","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0129-4843","authenticated-orcid":false,"given":"Shengpeng","family":"Ji","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2285-3606","authenticated-orcid":false,"given":"Shulei","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8813-2306","authenticated-orcid":false,"given":"Hai","family":"Huang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9227-4011","authenticated-orcid":false,"given":"Xiao","family":"Jin","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8247-4562","authenticated-orcid":false,"given":"Qifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3564-1628","authenticated-orcid":false,"given":"Tao","family":"Jin","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Yuang Ai Huaibo Huang and Ran He. 2024. Lora-ir: taming low-rank experts for efficient all-in-one image restoration. arXiv preprint arXiv:2410.15385."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02403"},{"key":"e_1_3_2_1_3_1","unstructured":"Sixiang Chen Tian Ye Yun Liu Erkang Chen Jun Shi and Jingchun Zhou. 2022. Snowformer: scale-aware transformer via context interaction for single image desnowing. arXiv preprint arXiv:2208.09703."},{"key":"e_1_3_2_1_4_1","volume-title":"European Conference on Computer Vision. Springer, 95-115","author":"Chen Sixiang","year":"2024","unstructured":"Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, and Lei Zhu. 2024. Teaching tailored to talent: adverse weather restoration via prompt pool and depth-anything constraint. In European Conference on Computer Vision. Springer, 95-115."},{"volume-title":"Always clear days: degradation type and severity aware all-in-one adverse weather removal","author":"Chen Yu-Wei","key":"e_1_3_2_1_5_1","unstructured":"Yu-Wei Chen and Soo-Chang Pei. 2025. Always clear days: degradation type and severity aware all-in-one adverse weather removal. IEEE Access."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01713"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00571"},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV).","author":"Conde Marcos V","year":"2024","unstructured":"Marcos V Conde, Gregor Geigle, and Radu Timofte. 2024. Instructir: highquality image restoration following human instructions. In Proceedings of the European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_1_9_1","volume-title":"Salman Khan, Alois Knoll, Mubarak Shah, and Fahad Shahbaz Khan.","author":"Cui Yuning","year":"2024","unstructured":"Yuning Cui, Syed Waqas Zamir, Salman Khan, Alois Knoll, Mubarak Shah, and Fahad Shahbaz Khan. 2024. Adair: adaptive all-in-one image restoration via frequency mining and modulation. arXiv preprint arXiv:2403.14614."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681347"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"e_1_3_2_1_12_1","unstructured":"Jonathan Ho Ajay Jain and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in neural information processing systems 33 6840-6851."},{"key":"e_1_3_2_1_13_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=nZeVKeeFYf9.","author":"Hu Edward J","year":"2022","unstructured":"Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022. LoRA: low-rank adaptation of large language models. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=nZeVKeeFYf9."},{"key":"e_1_3_2_1_14_1","unstructured":"JiaKui Hu Lujia Jin Zhengjian Yao and Yanye Lu. 2025. Universal image restoration pre-training via degradation classification. arXiv preprint arXiv:2501.15510."},{"key":"e_1_3_2_1_15_1","unstructured":"Hai Huang Yan Xia ShuleiWang HantingWang Minghui Fang Shengpeng Ji Sashuai Zhou Tao Jin and Zhou Zhao. 2025. Open-set cross modal generalization via multimodal unified representation. arXiv preprint arXiv:2507.14935."},{"key":"e_1_3_2_1_16_1","unstructured":"Hai Huang Yan Xia Sashuai Zhou Hanting Wang Shulei Wang and Zhou Zhao. 2025. Bridging domain generalization to multimodal domain generalization via unified representations. arXiv preprint arXiv:2507.03304."},{"key":"e_1_3_2_1_17_1","unstructured":"Hai Huang et al. 2024. Enhancing multimodal unified representations for cross modal generalization. arXiv preprint arXiv:2403.05168."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01740"},{"key":"e_1_3_2_1_19_1","unstructured":"Shengpeng Ji Minghui Fang Jialong Zuo Ziyue Jiang Dingdong Wang HantingWang Hai Huang and Zhou Zhao. 2024. Language-codec: bridging discrete codec representations and speech language models. arXiv preprint arXiv:2402.12208."},{"key":"e_1_3_2_1_20_1","unstructured":"Shengpeng Ji Ziyue Jiang Hanting Wang Jialong Zuo and Zhou Zhao. 2024. Mobilespeech: a fast and high-fidelity framework for mobile zero-shot text-tospeech. arXiv preprint arXiv:2402.09378."},{"key":"e_1_3_2_1_21_1","unstructured":"Junjun Jiang Zengyuan Zuo Gang Wu Kui Jiang and Xianming Liu. 2024. A survey on all-in-one image restoration: taxonomy evaluation and future trends. arXiv preprint arXiv:2410.15067."},{"key":"e_1_3_2_1_22_1","unstructured":"Bahjat Kawar Michael Elad Stefano Ermon and Jiaming Song. 2022. Denoising diffusion restoration models. Advances in neural information processing systems 35 23593-23606."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00510"},{"key":"e_1_3_2_1_24_1","volume-title":"Supervised contrastive learning. Advances in neural information processing systems, 33","author":"Khosla Prannay","year":"1866","unstructured":"Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan. 2020. Supervised contrastive learning. Advances in neural information processing systems, 33, 18661-18673."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Brian Lester Rami Al-Rfou and Noah Constant. 2021. The power of scale for parameter-efficient prompt tuning. arXiv preprint arXiv:2104.08691.","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2867951"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3040075"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00173"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00324"},{"key":"e_1_3_2_1_30_1","unstructured":"Wei Li Qiming Zhang Jing Zhang Zhen Huang Xinmei Tian and Dacheng Tao. 2022. Toward real-world single image deraining: a new benchmark and beyond. arXiv preprint arXiv:2206.05514."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"volume-title":"The Thirty-eighth Annual Conference on Neural Information Processing Systems.","author":"Wang","key":"e_1_3_2_1_32_1","unstructured":"Wang Lin et al. [n.d.] Action imitation in common action space for customized action image synthesis. In The Thirty-eighth Annual Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_33_1","unstructured":"Wang Lin et al. 2024. Non-confusing generation of customized concepts in diffusion models. arXiv preprint arXiv:2405.06914."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00268"},{"key":"e_1_3_2_1_35_1","unstructured":"Xingchao Liu Chengyue Gong and Qiang Liu. 2022. Flow straight and fast: learning to generate and transfer data with rectified flow. arXiv preprint arXiv:2209.03003."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2806202"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"e_1_3_2_1_38_1","unstructured":"Ziwei Luo Fredrik K Gustafsson Zheng Zhao Jens Sj\u00f6lund and Thomas B Sch\u00f6n. 2023. Controlling vision-language models for multi-task image restoration. arXiv preprint arXiv:2310.01018."},{"key":"e_1_3_2_1_39_1","unstructured":"Ziwei Luo Fredrik K Gustafsson Zheng Zhao Jens Sj\u00f6lund and Thomas B Sch\u00f6n. 2023. Image restoration with mean-reverting stochastic differential equations. arXiv preprint arXiv:2301.11699."},{"key":"e_1_3_2_1_40_1","unstructured":"Jiaqi Ma Tianheng Cheng GuoliWang Qian Zhang XinggangWang and Lefei Zhang. 2023. Prores: exploring degradation-aware visual prompt for universal image restoration. arXiv preprint arXiv:2306.13653."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"volume-title":"Making a ''completely blind'' image quality analyzer","author":"Mittal Anish","key":"e_1_3_2_1_42_1","unstructured":"Anish Mittal, Rajiv Soundararajan, and Alan C Bovik. 2012. Making a ''completely blind'' image quality analyzer. IEEE Signal processing letters, 20, 3, 209-212."},{"key":"e_1_3_2_1_43_1","volume-title":"International Conference on Machine Learning. PMLR, 26724-26768","author":"Oymak Samet","year":"2023","unstructured":"Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, and Christos Thrampoulidis. 2023. On the role of attention in prompt-tuning. In International Conference on Machine Learning. PMLR, 26724-26768."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2023.3238179","article-title":"Restoring vision in adverse weather conditions with patch-based denoising diffusion models","author":"\u00d6zdenizci Ozan","year":"2023","unstructured":"Ozan \u00d6zdenizci and Robert Legenstein. 2023. Restoring vision in adverse weather conditions with patch-based denoising diffusion models. IEEE Transactions on Pattern Analysis and Machine Intelligence.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02434"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:12:14Z","timestamp":1765339934000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755866"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":45,"alternative-id":["10.1145\/3746027.3755866","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755866","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}