{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:21:00Z","timestamp":1775665260375,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819556953","type":"print"},{"value":"9789819556960","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-5696-0_23","type":"book-chapter","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T14:04:03Z","timestamp":1769695443000},"page":"324-338","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SphereDrag: Spherical Geometry-Aware Panoramic Image Editing"],"prefix":"10.1007","author":[{"given":"Zhiao","family":"Feng","sequence":"first","affiliation":[]},{"given":"Xuewei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Junjie","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jingchao","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yuxin","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,30]]},"reference":[{"key":"23_CR1","unstructured":"Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: Proceedings of the ICML, pp. 214\u2013223. PMLR (2017)"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Brooks, T., Holynski, A., Efros, A.A.: InstructPix2Pix: learning to follow image editing instructions. In: Proceedings of the CVPR, pp. 18392\u201318402 (2023)","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Chen, T., Zhang, Y., Huo, X., Wu, S., Xu, Y., Wong, H.S.: SphericGAN: semi-supervised hyper-spherical generative adversarial networks for fine-grained image synthesis. In: Proceedings of the CVPR, pp. 10001\u201310010 (2022)","DOI":"10.1109\/CVPR52688.2022.00976"},{"key":"23_CR4","doi-asserted-by":"publisher","unstructured":"Cui, Y., Zhao, X., Zhang, G., Cao, S., Ma, K., Wang, L.: StableDrag: stable dragging for point-based image editing. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds.) Computer Vision, ECCV 2024. LNCS, vol. 15116, pp. 340\u2013356. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-73636-0_20","DOI":"10.1007\/978-3-031-73636-0_20"},{"issue":"4","key":"23_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3528223.3530164","volume":"41","author":"R Gal","year":"2022","unstructured":"Gal, R., Patashnik, O., Maron, H., Bermano, A.H., Chechik, G., Cohen-Or, D.: StyleGAN-NADA: clip-guided domain adaptation of image generators. ACM Trans. Graph. 41(4), 1\u201313 (2022)","journal-title":"ACM Trans. Graph."},{"issue":"11","key":"23_CR6","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"key":"23_CR7","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Proc. NeurIPS 33, 6840\u20136851 (2020)","journal-title":"Proc. NeurIPS"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Jiang, R., Fu, X., Zheng, G., Li, T., Yao, T., Li, X.: Energy-guided optimization for personalized image editing with pretrained text-to-image diffusion models. arXiv preprint arXiv:2503.04215 (2025)","DOI":"10.1609\/aaai.v39i4.32424"},{"key":"23_CR9","unstructured":"Kalischek, N., Oechsle, M., Manhardt, F., Henzler, P., Schindler, K., Tombari, F.: CubeDiff: repurposing diffusion-based image models for panorama generation. In: Proceedings of the ICLR (2025, to appear)"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: Proceedings of the CVPR, pp. 4401\u20134410 (2019)","DOI":"10.1109\/CVPR.2019.00453"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Kawar, B., et al.: Imagic: text-based real image editing with diffusion models. In: Proceeding of the CVPR, pp. 6007\u20136017 (2023)","DOI":"10.1109\/CVPR52729.2023.00582"},{"key":"23_CR12","unstructured":"de\u00a0La\u00a0Garanderie, G.P., Abarghouei, A.A., Breckon, T.P.: Eliminating the blind spot: adapting 3D object detection and monocular depth estimation to 360 panoramic imagery. In: Proceedings of the ECCV, pp. 789\u2013807 (2018)"},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Li, X., Wu, T., Qi, Z., Wang, G., Shan, Y., Li, X.: SGAT4PASS: spherical geometry-aware transformer for panoramic semantic segmentation. In: Proceedings of the IJCAI (2023)","DOI":"10.24963\/ijcai.2023\/125"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Lin, C.H., Chang, C.C., Chen, Y.S., Juan, D.C., Wei, W., Chen, H.T.: Coco-GAN: generation by parts via conditional coordinating. In: Proceeding of the CVPR, pp. 4512\u20134521 (2019)","DOI":"10.1109\/ICCV.2019.00461"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Liu, H., Xu, C., Yang, Y., Zeng, L., He, S.: Drag your noise: interactive point-based editing via diffusion semantic propagation. In: Proceedings of the CVPR, pp. 6743\u20136752 (2024)","DOI":"10.1109\/CVPR52733.2024.00644"},{"key":"23_CR16","unstructured":"Mescheder, L., Geiger, A., Nowozin, S.: Which training methods for GANs do actually converge? In: Proceedings of the ICML, pp. 3481\u20133490. PMLR (2018)"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Mou, C., Wang, X., Xie, L., Wu, Y., Zhang, J., Qi, Z., Shan, Y.: T2I-adapter: learning adapters to dig out more controllable ability for text-to-image diffusion models. In: Proceedings of the AAAI, pp. 4296\u20134304 (2024)","DOI":"10.1609\/aaai.v38i5.28226"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Pan, X., Tewari, A., Leimk\u00fchler, T., Liu, L., Meka, A., Theobalt, C.: Drag your GAN: interactive point-based manipulation on the generative image manifold. In: Proceedings of the ACM SIGGRAPH Conference, pp. 1\u201311 (2023)","DOI":"10.1145\/3588432.3591500"},{"key":"23_CR19","doi-asserted-by":"crossref","unstructured":"Patashnik, O., Wu, Z., Shechtman, E., Cohen-Or, D., Lischinski, D.: StyleCLIP: Text-driven manipulation of stylegan imagery. In: Proc. CVPR, pp. 2085\u20132094 (2021)","DOI":"10.1109\/ICCV48922.2021.00209"},{"key":"23_CR20","unstructured":"Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with CLIP Latents. arXiv preprint arXiv:2204.06125, 1(2), 3 (2022)"},{"key":"23_CR21","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. Proc. NeurIPS 35, 36479\u201336494 (2022)","journal-title":"Proc. NeurIPS"},{"key":"23_CR22","doi-asserted-by":"crossref","unstructured":"Shi, Y., et al.: DragDiffusion: harnessing diffusion models for interactive point-based image editing. In: Proceedings of the CVPR, pp. 8839\u20138849 (2024)","DOI":"10.1109\/CVPR52733.2024.00844"},{"key":"23_CR23","doi-asserted-by":"publisher","first-page":"3546","DOI":"10.1109\/TMM.2022.3162474","volume":"25","author":"S Wu","year":"2022","unstructured":"Wu, S., et al.: cross-view panorama image synthesis. IEEE Trans. Multimedia 25, 3546\u20133559 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"23_CR24","doi-asserted-by":"crossref","unstructured":"Wu, T., et al.: SphereDiffusion: spherical geometry-aware distortion resilient diffusion model. In: Proceedings of the AAAI, pp. 6126\u20136134 (2024)","DOI":"10.1609\/aaai.v38i6.28429"},{"key":"23_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, L., Rao, A., Agrawala, M.: Adding conditional control to text-to-image diffusion models. In: Proceedings of the ICCV, pp. 3836\u20133847 (2023)","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"23_CR26","doi-asserted-by":"publisher","unstructured":"Zheng, G., et al.: Entropy-driven sampling and training scheme for conditional diffusion generation. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) Proceedings of the ECCV, pp. 754\u2013769. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20047-2_43","DOI":"10.1007\/978-3-031-20047-2_43"},{"key":"23_CR27","doi-asserted-by":"crossref","unstructured":"Zheng, G., Zhou, X., Li, X., Qi, Z., Shan, Y., Li, X.: LayoutDiffusion: controllable diffusion model for layout-to-image generation. In: Proceedings of the CVPR, pp. 22490\u201322499 (2023)","DOI":"10.1109\/CVPR52729.2023.02154"},{"key":"23_CR28","doi-asserted-by":"crossref","unstructured":"Zhou, T., Tang, Y.: TwinDiffusion: enhancing coherence and efficiency in panoramic image generation with diffusion models. In: Proceedings of the ECAI, pp. 386\u2013393. IOS Press (2024)","DOI":"10.3233\/FAIA240512"},{"key":"23_CR29","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the ICCV, pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"}],"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\/978-981-95-5696-0_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T14:04:11Z","timestamp":1769695451000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5696-0_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819556953","9789819556960"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5696-0_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"30 January 2026","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":"Shanghai","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2025.prcv.cn\/index.asp","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}