{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T21:39:41Z","timestamp":1789421981338,"version":"build-2803163510"},"publisher-location":"Cham","reference-count":47,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032374639","type":"print"},{"value":"9783032374646","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\/978-3-032-37464-6_1","type":"book-chapter","created":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T10:35:17Z","timestamp":1789036517000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["FlowCycle: Target-Aware Image Editing via\u00a0Cycle-Consistent Constraints"],"prefix":"10.1007","author":[{"given":"Yanghao","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Long","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,11]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Agustsson, E., Timofte, R.: NTIRE 2017 challenge on single image super-resolution: dataset and study. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 126\u2013135 (2017)","DOI":"10.1109\/CVPRW.2017.150"},{"key":"1_CR2","unstructured":"AI, I., et\u00a0al.: Ming-omni: a unified multimodal model for perception and generation. arXiv preprint arXiv:2506.09344 (2025)"},{"key":"1_CR3","unstructured":"Beletskii, I., Kuznetsov, A., Alanov, A.: Inverse-and-edit: effective and fast image editing by cycle consistency models (2025). arXiv:2506.19103 arXiv preprint"},{"key":"1_CR4","unstructured":"Chen, R.T., Rubanova, Y., Bettencourt, J., Duvenaud, D.K.: Neural ordinary differential equations. In: Advances in Neural Information Processing Systems, p. 31 (2018)"},{"key":"1_CR5","unstructured":"Dao, T., Wang, Z., Pham, K.T., Chen, L.: Steerflow: steering rectified flows for faithful inversion-based image editing (2026). arXiv:2604.01715 arXiv preprint"},{"key":"1_CR6","unstructured":"Deng, C., et\u00a0al.: Emerging properties in unified multimodal pretraining. arXiv preprint arXiv:2505.14683 (2025)"},{"key":"1_CR7","unstructured":"Deng, Y., He, X., Mei, C., Wang, P., Tang, F.: FireFlow: fast inversion of rectified flow for image semantic editing (2024). arXiv:2412.07517 arXiv preprint"},{"key":"1_CR8","unstructured":"Esser, P., et al.: Scaling rectified flow transformers for high-resolution image synthesis. In: Forty-First International Conference on Machine Learning (2024)"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Fu, T.J., Qian, Y., Chen, C., Hu, W., Gan, Z., Yang, Y.: UniVG: a generalist diffusion model for unified image generation and editing (2025). arXiv:2503.12652 arXiv preprint","DOI":"10.1109\/ICCV51701.2025.01594"},{"key":"1_CR10","unstructured":"Hertz, A., Mokady, R., Tenenbaum, J., Aberman, K., Pritch, Y., Cohen-Or, D.: prompt-to-prompt image editing with cross attention control (2022). arXiv:2208.01626 arXiv preprint"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Hessel, J., Holtzman, A., Forbes, M., Le Bras, R., Choi, Y.: CLIPScore: a reference-free evaluation metric for image captioning. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 7514\u20137528 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.595"},{"key":"1_CR12","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Huberman-Spiegelglas, I., Kulikov, V., Michaeli, T.: An edit friendly DDPM noise space: inversion and manipulations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12469\u201312478 (2024)","DOI":"10.1109\/CVPR52733.2024.01185"},{"key":"1_CR14","unstructured":"Jiang, Y., et al.: FlowDC: flow-based decoupling-decay for complex image editing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 25757\u201325766 (2026)"},{"key":"1_CR15","unstructured":"Ju, X., Zeng, A., Bian, Y., Liu, S., Xu, Q.: PNP Inversion: boosting diffusion-based editing with 3 lines of code. In: International Conference on Learning Representations (ICLR) (2024)"},{"key":"1_CR16","unstructured":"Kim, J., Hong, Y., Ye, J.C.: FlowaLign: trajectory-regularized, inversion-free flow-based image editing (2025). arXiv:2505.23145 arXiv preprint"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Kim, J., Park, J., Song, Y., Kwak, N., Rhee, W.: Reflex: text-guided editing of real images in rectified flow via mid-step feature extraction and attention adaptation (2025). arXiv:2507.01496 arXiv preprint","DOI":"10.1109\/ICCV51701.2025.01479"},{"key":"1_CR18","unstructured":"Kingma, D.P.: Adam: a method for stochastic optimization (2014). arXiv:1412.6980 arXiv preprint"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Kulikov, V., Kleiner, M., Huberman-Spiegelglas, I., Michaeli, T.: FlowEdit: inversion-free text-based editing using pre-trained flow models (2024). arXiv:2412.08629 arXiv preprint","DOI":"10.1109\/ICCV51701.2025.01834"},{"key":"1_CR20","unstructured":"Labs, B.F.: Flux. https:\/\/github.com\/black-forest-labs\/flux (2024)"},{"key":"1_CR21","unstructured":"Lee, H., Kang, M., Han, B.: Text-driven image editing using cycle-consistency-driven metric learning (2023)"},{"key":"1_CR22","unstructured":"Lipman, Y., Chen, R.T., Ben-Hamu, H., Nickel, M., Le, M.: Flow matching for generative modeling (2022). arXiv:2210.02747 arXiv preprint"},{"key":"1_CR23","unstructured":"Liu, X., Gong, C., Liu, Q.: Flow straight and fast: learning to generate and transfer data with rectified flow. arXiv preprint arXiv:2209.03003 (2022)"},{"key":"1_CR24","doi-asserted-by":"crossref","unstructured":"Mao, J., Wang, K., Xiang, Y., Chen, K.: TweezeEdit: consistent and efficient image editing with path regularization (2025). arXiv:2508.10498 arXiv preprint","DOI":"10.1609\/aaai.v40i10.37738"},{"issue":"1","key":"1_CR25","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1006\/aima.1997.1634","volume":"128","author":"RJ McCann","year":"1997","unstructured":"McCann, R.J.: A convexity principle for interacting gases. Adv. Math. 128(1), 153\u2013179 (1997)","journal-title":"Adv. Math."},{"key":"1_CR26","unstructured":"Meng, C., Song, Y., Song, J., Wu, J., Zhu, J.Y., Ermon, S.: SDEdit: image synthesis and editing with stochastic differential equations. arXiv preprint arXiv:2108.01073 (2021)"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Mokady, R., Hertz, A., Aberman, K., Pritch, Y., Cohen-Or, D.: Null-text inversion for editing real images using guided diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6038\u20136047 (2023)","DOI":"10.1109\/CVPR52729.2023.00585"},{"key":"1_CR28","doi-asserted-by":"crossref","unstructured":"Parmar, G., Kumar Singh, K., Zhang, R., Li, Y., Lu, J., Zhu, J.Y.: Zero-shot image-to-image translation. In: ACM SIGGRAPH 2023 Conference Proceedings, pp. 1\u201311. (2023)","DOI":"10.1145\/3588432.3591513"},{"key":"1_CR29","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":"1_CR30","unstructured":"Rout, L., Chen, Y., Ruiz, N., Caramanis, C., Shakkottai, S., Chu, W.S.: Semantic image inversion and editing using rectified stochastic differential equations (2024). arXiv:2410.10792 arXiv preprint"},{"key":"1_CR31","unstructured":"Sasaki, H., Willcocks, C.G., Breckon, T.P.: Unit-DDPM: unpaired image translation with denoising diffusion probabilistic models (2021). arXiv:2104.05358 arXiv preprint"},{"key":"1_CR32","unstructured":"Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models (2020). arXiv:2010.02502 arXiv preprint"},{"key":"1_CR33","doi-asserted-by":"crossref","unstructured":"Tumanyan, N., Bar-Tal, O., Bagon, S., Dekel, T.: Splicing vit features for semantic appearance transfer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10748\u201310757 (2022)","DOI":"10.1109\/CVPR52688.2022.01048"},{"key":"1_CR34","doi-asserted-by":"crossref","unstructured":"Tumanyan, N., Geyer, M., Bagon, S., Dekel, T.: Plug-and-play diffusion features for text-driven image-to-image translation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1921\u20131930 (2023)","DOI":"10.1109\/CVPR52729.2023.00191"},{"key":"1_CR35","unstructured":"Wang, B., et\u00a0al.: Selftok: discrete visual tokens of autoregression, by diffusion, and for reasoning. arXiv preprint arXiv:2505.07538 (2025)"},{"key":"1_CR36","unstructured":"Wang, J., et al.: Taming rectified flow for inversion and editing (2024). arXiv:2411.04746 arXiv preprint"},{"issue":"3","key":"1_CR37","volume":"46","author":"Z Wang","year":"2025","unstructured":"Wang, Z., Li, L., Chen, L.: Recent advances in finetuning multimodal large language models. AI Mag. 46(3), e70025 (2025)","journal-title":"AI Mag."},{"key":"1_CR38","unstructured":"Wang, Z., Xu, Y., Xiao, J., Chen, L.: FlowMotion: training-free flow guidance for video motion transfer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 38143\u201338153 (2026)"},{"key":"1_CR39","doi-asserted-by":"crossref","unstructured":"Wu, C.H., De\u00a0la Torre, F.: A latent space of stochastic diffusion models for zero-shot image editing and guidance. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 7378\u20137387 (2023)","DOI":"10.1109\/ICCV51070.2023.00678"},{"key":"1_CR40","unstructured":"Wu, C., et\u00a0al.: Qwen-image technical report. arXiv preprint arXiv:2508.02324 (2025)"},{"key":"1_CR41","doi-asserted-by":"crossref","unstructured":"Xiao, S., et al.: OmniGEN: unified image generation. In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 13294\u201313304 (2025)","DOI":"10.1109\/CVPR52734.2025.01241"},{"key":"1_CR42","doi-asserted-by":"crossref","unstructured":"Xu, S., Huang, Y., Pan, J., Ma, Z., Chai, J.: Inversion-free image editing with language-guided diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9452\u20139461 (2024)","DOI":"10.1109\/CVPR52733.2024.00903"},{"key":"1_CR43","doi-asserted-by":"publisher","first-page":"10359","DOI":"10.52202\/075280-0455","volume":"36","author":"S Xu","year":"2023","unstructured":"Xu, S., Ma, Z., Huang, Y., Lee, H., Chai, J.: CycleNet: rethinking cycle consistency in text-guided diffusion for image manipulation. Adv. Neural. Inf. Process. Syst. 36, 10359\u201310384 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"1_CR44","unstructured":"Xu, Y., Wang, Z., Li, K., Xiao, J., Chen, L.: FreeTuner: any subject in any style with training-free diffusion. In: ACM Transactions on Multimedia Computing, Communications and Applications (2024)"},{"key":"1_CR45","unstructured":"Yang, X., Chen, C., Yang, X., Liu, F., Lin, G.: Text-to-image rectified flow as plug-and-play priors. arXiv preprint arXiv:2406.03293 (2024)"},{"key":"1_CR46","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Deng, Y., He, X., Dong, W., Tang, F.: Multi-turn consistent image editing (2025). arXiv:2505.04320 arXiv preprint","DOI":"10.1109\/ICCV51701.2025.01465"},{"key":"1_CR47","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 IEEE International Conference on Computer Vision, pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-37464-6_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T10:35:35Z","timestamp":1789036535000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-37464-6_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032374639","9783032374646"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-37464-6_1","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":"11 September 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malm\u00f6","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","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":"8 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}