{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T23:35:45Z","timestamp":1767137745388,"version":"build-2238731810"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031723377","type":"print"},{"value":"9783031723384","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-72338-4_20","type":"book-chapter","created":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T10:03:01Z","timestamp":1726480981000},"page":"287-302","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RETRACTED CHAPTER: CrossViewDiff: A Cross-View Diffusion Model for\u00a0Satellite-to-Ground Image Synthesis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4288-0679","authenticated-orcid":false,"given":"Yuankun","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6486-9707","authenticated-orcid":false,"given":"Dazhong","family":"Rong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2304-5802","authenticated-orcid":false,"given":"Yi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,17]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Avrahami, O., Lischinski, D., Fried,O.: Blended diffusion for text-driven editing of natural images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18208\u201318218 (June 2022)","DOI":"10.1109\/CVPR52688.2022.01767"},{"key":"20_CR2","unstructured":"Balaji, Y., et al.: ediff-i: Text-to-image diffusion models with ensemble of expert denoisers. arXiv preprint arXiv:2211.01324 (2022)"},{"key":"20_CR3","unstructured":"Couairon, G. Verbeek, J., Schwenk, H., Cord, M.: Diffedit: diffusion-based semantic image editing with mask guidance. In: ICLR 2023 (Eleventh International Conference on Learning Representations) (2023)"},{"key":"20_CR4","unstructured":"Gal, R.: An image is worth one word: Personalizing text-to-image generation using textual inversion. arXiv preprint arXiv:2208.01618 (2022)"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Gao, S.: Implicit diffusion models for continuous super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10021\u201310030 (2023)","DOI":"10.1109\/CVPR52729.2023.00966"},{"key":"20_CR6","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. In: Guyon, I. (eds.) Advances in Neural Information Processing Systems, vol. 30. Curran Associates, Inc. (2017)"},{"key":"20_CR7","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M.F., Lin, H. (eds.) Advances in Neural Information Processing Systems, vol. 33, pp. 6840\u20136851. Curran Associates, Inc. (2020)"},{"key":"20_CR8","unstructured":"Ho, J., Salimans, T.: Classifier-free diffusion guidance. arXiv preprint, arXiv:2207.12598 (2022)"},{"key":"20_CR9","unstructured":"Edward\u00a0J Hu, Y.S., et al.: LoRA: low-rank adaptation of large language models. In: International Conference on Learning Representations (2022)"},{"key":"20_CR10","unstructured":"Kingma, D.P., Welling, M.: Auto-Encoding Variational Bayes. In: 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, 14-16 April 2014, Conference Track Proceedings (2014)"},{"key":"20_CR11","unstructured":"Kirillov, A.: In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 4015\u20134026 (October 2023)"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Li, B., Xue, K., Liu, B., Lai, Y.-K.: Bbdm: image-to-image translation with brownian bridge diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1952\u20131961 (June 2023)","DOI":"10.1109\/CVPR52729.2023.00194"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Li, W., et al.: Omnicity: omnipotent city understanding with multi-level and multi-view images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17397\u201317407 (June 2023)","DOI":"10.1109\/CVPR52729.2023.01669"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Lu, X., Li, Z., Cui, Z., Oswald, M.R., Pollefeys, M., Qin, R.: Geometry-aware satellite-to-ground image synthesis for urban areas. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 859\u2013867 (2020)","DOI":"10.1109\/CVPR42600.2020.00094"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Luo, S., Hu, W.: Diffusion probabilistic models for 3d point cloud generation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2837\u20132845 (2021)","DOI":"10.1109\/CVPR46437.2021.00286"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: Representing scenes as neural radiance fields for view synthesis. In ECCV, Nerf (2020)","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Qian, M., Xiong, J., Xia, G.-S., Xue, N.: Sat2density: faithful density learning from satellite-ground image pairs. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 3683\u20133692 (October 2023)","DOI":"10.1109\/ICCV51070.2023.00341"},{"key":"20_CR18","unstructured":"Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with clip latents, vol. 1(2), p. 3. arXiv preprint, arXiv:2204.06125 (2022)"},{"key":"20_CR19","doi-asserted-by":"crossref","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)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Ruiz, N., Li, Y., Jampani, V., Pritch, Y., Rubinstein, M., Aberman, K.: Dreambooth: fine tuning text-to-image diffusion models for subject-driven generation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 22500\u201322510 (2023)","DOI":"10.1109\/CVPR52729.2023.02155"},{"key":"20_CR21","unstructured":"Saharia, C., et al.: Image-to-image diffusion models. In: ACM SIGGRAPH 2022 Conference Proceedings, SIGGRAPH 2022. Association for Computing Machinery, New York (2022)"},{"key":"20_CR22","first-page":"36479","volume":"35","author":"C Saharia","year":"2022","unstructured":"Saharia, C., et al.: Photorealistic text-to-image diffusion models with deep language understanding. Adv. Neural Inform. Process. Syst. 35, 36479\u201336494 (2022)","journal-title":"Adv. Neural Inform. Process. Syst."},{"issue":"4","key":"20_CR23","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."},{"issue":"12","key":"20_CR24","doi-asserted-by":"publisher","first-page":"10009","DOI":"10.1109\/TPAMI.2022.3140750","volume":"44","author":"Y Shi","year":"2022","unstructured":"Shi, Y., Campbell, D., Xin, Yu., Li, H.: Geometry-guided street-view panorama synthesis from satellite imagery. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 10009\u201310022 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"20_CR25","unstructured":"Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. In: International Conference on Learning Representation (2021)"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Tang, H., Xu, D., Sebe, N., Wang, Y., Corso, J.J., Yan, Y.: Multi-channel attention selection gan with cascaded semantic guidance for cross-view image translation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2417\u20132426 (2019)","DOI":"10.1109\/CVPR.2019.00252"},{"key":"20_CR27","unstructured":"Tang, S., Zhang, F., Chen, J., Wang, P., Furukawa, Y.: MVDiffusion: enabling holistic multi-view image generation with correspondence-aware diffusion. In: Thirty-seventh Conference on Neural Information Processing Systems (2023)"},{"key":"20_CR28","doi-asserted-by":"crossref","unstructured":"Toker, A., Zhou, Q., Maximov, M., Leal-Taix\u00e9, L.: Coming down to earth: Satellite-to-street view synthesis for geo-localization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6488\u20136497 (2021)","DOI":"10.1109\/CVPR46437.2021.00642"},{"key":"20_CR29","doi-asserted-by":"crossref","unstructured":"Tseng, H.-T., Li, Q., Kim, C., Alsisan, S., Huang, J.-B., Kopf, J.: Consistent view synthesis with pose-guided diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16773\u201316783 (2023)","DOI":"10.1109\/CVPR52729.2023.01609"},{"key":"20_CR30","unstructured":"Vaswani, A.: Attention is all you need. In: Guyon, I. (eds.) Advances in Neural Information Processing Systems, vol. 30. Curran Associates, Inc. (2017)"},{"key":"20_CR31","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":"20_CR32","doi-asserted-by":"crossref","unstructured":"Wu, S., et al.: Cross-view panorama image synthesis. IEEE Trans. Multimedia (2022)","DOI":"10.1109\/TMM.2022.3162474"},{"key":"20_CR33","unstructured":"Zeng, X., et al.: Lion: latent point diffusion models for 3d shape generation. In: Advances in Neural Information Processing Systems (NeurIPS) (2022)"},{"key":"20_CR34","doi-asserted-by":"crossref","unstructured":"Zhai, M., Bessinger, Z., Workman, S., Jacobs, N.: Predicting ground-level scene layout from aerial imagery. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (July 2017)","DOI":"10.1109\/CVPR.2017.440"},{"key":"20_CR35","doi-asserted-by":"crossref","unstructured":"Zhang, L., Rao, A., Agrawala, M.: Adding conditional control to text-to-image diffusion models. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 3836\u20133847 (October 2023)","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"20_CR36","unstructured":"Zhu, J.-Y., et al.: Toward multimodal image-to-image translation. In: Advances in Neural Information Processing Systems (2017)"}],"updated-by":[{"DOI":"10.1007\/978-3-031-72338-4_31","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000}}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72338-4_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T07:49:10Z","timestamp":1759996150000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72338-4_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031723377","9783031723384"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72338-4_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"17 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"10 October 2025","order":2,"name":"change_date","label":"Change Date","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Correction","order":3,"name":"change_type","label":"Change Type","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"A correction has been published.","order":4,"name":"change_details","label":"Change Details","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lugano","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Switzerland","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":"17 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"33","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}