{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T08:06:21Z","timestamp":1784102781460,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234196","type":"print"},{"value":"9789819234202","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:00:00Z","timestamp":1784160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:00:00Z","timestamp":1784160000000},"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":[[2027]]},"DOI":"10.1007\/978-981-92-3420-2_36","type":"book-chapter","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T07:24:11Z","timestamp":1784100251000},"page":"420-431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multi-dimensional Collaborative Perception-Driven Layered LoRA Stage Training Strategy"],"prefix":"10.1007","author":[{"given":"Wensheng","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bojun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwei","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huimin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,16]]},"reference":[{"key":"36_CR1","series-title":"Lecture Notes in Computer Science (LNCS)","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-319-10593-2_13","volume-title":"European Conference on Computer Vision (ECCV 2014)","author":"C Dong","year":"2014","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) European Conference on Computer Vision (ECCV 2014) Lecture Notes in Computer Science (LNCS), vol. 8692, pp. 184\u2013199. Springer, Heidelberg (2014)"},{"key":"36_CR2","first-page":"22367","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"X Chen","year":"2023","unstructured":"Chen, X., Wang, X., Zhou, J., Chan, K.C.K.: Activating more pixels in image super-resolution transformer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 22367\u201322377 (2023)"},{"key":"36_CR3","first-page":"1664","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"M Haris","year":"2018","unstructured":"Haris, M., Shakhnarovich, G., Ukita, N.: Deep back-projection networks for super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1664\u20131673 (2018)"},{"key":"36_CR4","first-page":"1637","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"J Kim","year":"2016","unstructured":"Kim, J., Lee, J.K., Lee, K.M.: Deeply-recursive convolutional network for image super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1637\u20131645 (2016)"},{"key":"36_CR5","first-page":"1833","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"J Liang","year":"2021","unstructured":"Liang, J., Cao, J., Sun, G., Zhang, K., Van Gool, L., Timofte, R.: SwinIR: image restoration using swin transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1833\u20131844 (2021)"},{"key":"36_CR6","series-title":"Lecture Notes in Computer Science (LNCS)","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/978-3-031-19790-1_39","volume-title":"European Conference on Computer Vision (ECCV 2022)","author":"X Zhang","year":"2022","unstructured":"Zhang, X., Zeng, H., Guo, S., Ma, L.: Efficient long-range attention network for image super-resolution. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) European Conference on Computer Vision (ECCV 2022) Lecture Notes in Computer Science (LNCS), vol. 13685, pp. 649\u2013667. Springer, Heidelberg (2022)"},{"key":"36_CR7","first-page":"6228","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Y Blau","year":"2018","unstructured":"Blau, Y., Michaeli, T.: The perception-distortion tradeoff. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6228\u20136237 (2018)"},{"key":"36_CR8","first-page":"5657","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"J Liang","year":"2022","unstructured":"Liang, J., Zeng, H., Zhang, L.: Details or artifacts: a locally discriminative learning approach to realistic image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5657\u20135666 (2022)"},{"key":"36_CR9","first-page":"10684","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"R Rombach","year":"2022","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10684\u201310695 (2022)"},{"key":"36_CR10","doi-asserted-by":"crossref","unstructured":"Lin, X., He, J., Chen, Z., Yan, Q.: DiffBIR: towards blind image restoration with generative diffusion prior. arXiv preprint arXiv:2308.15070. (2023)","DOI":"10.1007\/978-3-031-73202-7_25"},{"key":"36_CR11","unstructured":"Sun, L., Wu, R., Zhang, Z., Fan, J., Wang, P.: Improving the stability of diffusion models for content consistent super-resolution. arXiv preprint arXiv:2401.00877. (2023)"},{"key":"36_CR12","unstructured":"Wang, J., Yue, Z., Zhou, S., Zhang, Y., Loy, C.C.: Exploiting diffusion prior for real-world image super-resolution. arXiv preprint arXiv:2305.07015. (2023)"},{"key":"36_CR13","doi-asserted-by":"crossref","unstructured":"Wu, R., Sun, L., Ma, Z., Wang, P.: One-step effective diffusion network for real-world image super-resolution. arXiv preprint arXiv:2406.08177. (2024)","DOI":"10.52202\/079017-2938"},{"key":"36_CR14","first-page":"25456","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"R Wu","year":"2024","unstructured":"Wu, R., Yang, T., Sun, L., Wang, P.: SeeSR: towards semantics-aware real-world image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 25456\u201325467 (2024)"},{"key":"36_CR15","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural Inf. Proces. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"36_CR16","doi-asserted-by":"publisher","first-page":"23593","DOI":"10.52202\/068431-1714","volume":"35","author":"B Kawar","year":"2022","unstructured":"Kawar, B., Elad, M., Ermon, S., Song, J.: Denoising diffusion restoration models. Adv. Neural Inf. Proces. Syst. 35, 23593\u201323606 (2022)","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"36_CR17","doi-asserted-by":"publisher","first-page":"13294","DOI":"10.52202\/075280-0583","volume":"36","author":"Z Yue","year":"2023","unstructured":"Yue, Z., Wang, J., Loy, C.C.: ResShift: efficient diffusion model for image super-resolution by residual shifting. Adv. Neural Inf. Proces. Syst. 36, 13294\u201313307 (2023)","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"36_CR18","series-title":"Lecture Notes in Computer Science (LNCS)","first-page":"285","volume-title":"European Conference on Computer Vision (ECCV 2024)","author":"Y Qu","year":"2024","unstructured":"Qu, Y., Yuan, K., Zhao, K., Zhang, Y., Li, X.: XPSR: cross-modal priors for diffusion-based image super-resolution. In: Leonardis, A., et al. (eds.) European Conference on Computer Vision (ECCV 2024) Lecture Notes in Computer Science (LNCS), vol. 15493, pp. 285\u2013303. Springer, Heidelberg (2024)"},{"key":"36_CR19","first-page":"25796","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Y Wang","year":"2024","unstructured":"Wang, Y., Yang, W., Chen, X., Zhang, Q., Zhang, Y., Liu, J.: SinSR: diffusion-based image super-resolution in a single step. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 25796\u201325805 (2024)"},{"key":"36_CR20","doi-asserted-by":"crossref","unstructured":"Yang, T., Ren, P., Xie, X., Ma, Z., Wu, R., Wang, P.: Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization. arXiv preprint arXiv:2308.14469. (2023)","DOI":"10.1007\/978-3-031-73247-8_5"},{"issue":"12","key":"36_CR21","doi-asserted-by":"publisher","first-page":"5929","DOI":"10.1007\/s11263-024-02168-7","volume":"132","author":"J Wang","year":"2024","unstructured":"Wang, J., Yue, Z., Zhou, S., Zhang, Y., Loy, C.C.: Exploiting diffusion prior for real-world image super-resolution. Int. J. Comput. Vis. 132(12), 5929\u20135949 (2024)","journal-title":"Int. J. Comput. Vis."},{"key":"36_CR22","first-page":"2333","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"L Sun","year":"2025","unstructured":"Sun, L., Wu, R., Ma, Z., Wang, P.: Pixel-level and semantic-level adjustable super-resolution: a dual-LoRA approach. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2333\u20132343 (2025)"},{"key":"36_CR23","volume-title":"International Conference on Learning Representations","author":"EJ Hu","year":"2022","unstructured":"Hu, E.J., et al.: LoRA: low-rank adaptation of large language models. In: International Conference on Learning Representations (2022)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3420-2_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T07:24:14Z","timestamp":1784100254000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3420-2_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,16]]},"ISBN":["9789819234196","9789819234202"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3420-2_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,16]]},"assertion":[{"value":"16 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","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":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}