{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T04:16:20Z","timestamp":1748405780303,"version":"3.41.0"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031928079","type":"print"},{"value":"9783031928086","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-92808-6_5","type":"book-chapter","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T15:59:01Z","timestamp":1748361541000},"page":"68-84","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Making Images from\u00a0Images: Tightly Constrained Parallel Denoising"],"prefix":"10.1007","author":[{"given":"Shumeet","family":"Baluja","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Marwood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashwin","family":"Baluja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Amir, D., Weiss, Y.: Understanding and simplifying perceptual distances. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12226\u201312235 (2021)","DOI":"10.1109\/CVPR46437.2021.01205"},{"key":"5_CR2","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, pp. 18208\u201318218 (2022)","DOI":"10.1109\/CVPR52688.2022.01767"},{"key":"5_CR3","unstructured":"Bar-Tal, O., Yariv, L., Lipman, Y., Dekel, T.: Multidiffusion: fusing diffusion paths for controlled image generation (2023)"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Burgert, R., Li, X., Leite, A., Ranasinghe, K., Ryoo, M.S.: Diffusion illusions: hiding images in plain sight (2023)","DOI":"10.1145\/3641519.3657500"},{"key":"5_CR5","unstructured":"Chen, Z., Geng, D., Owens, A.: Images that sound: Composing images and sounds on a single canvas (2024)"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Croitoru, F.A., Hondru, V., Ionescu, R.T., Shah, M.: Diffusion models in vision: a survey. IEEE Trans. Pattern Anal. Mach. Intell. (2023)","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"5_CR7","unstructured":"Das, K.K.: Role of pre-embedded associated memory in generation of optical illusions. J. Psychol Cogn. 3(2) (2018)"},{"key":"5_CR8","first-page":"8780","volume":"34","author":"P Dhariwal","year":"2021","unstructured":"Dhariwal, P., Nichol, A.: Diffusion models beat GANs on image synthesis. Adv. Neural. Inf. Process. Syst. 34, 8780\u20138794 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"5_CR9","unstructured":"Elsayed, G., et al.: Adversarial examples that fool both computer vision and time-limited humans. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol.\u00a031. Curran Associates, Inc. (2018). https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2018\/file\/8562ae5e286544710b2e7ebe9858833b-Paper.pdf"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Everaert, M.N., Bocchio, M., Arpa, S., S\u00fcsstrunk, S., Achanta, R.: Diffusion in style. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 2251\u20132261 (2023)","DOI":"10.1109\/ICCV51070.2023.00214"},{"issue":"4","key":"5_CR11","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1145\/127719.122721","volume":"25","author":"WT Freeman","year":"1991","unstructured":"Freeman, W.T., Adelson, E.H., Heeger, D.J.: Motion without movement. ACM Siggraph Comput. Graph. 25(4), 27\u201330 (1991)","journal-title":"ACM Siggraph Comput. Graph."},{"key":"5_CR12","unstructured":"Geng, D., Park, I., Owens, A.: Visual anagrams: generating multi-view optical illusions with diffusion models. arXiv:2311.17919 (2023). https:\/\/arxiv.org\/abs\/2311.17919"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Geng, D., Park, I., Owens, A.: Factorized diffusion: perceptual illusions by noise decomposition (2024)","DOI":"10.1007\/978-3-031-72998-0_21"},{"key":"5_CR14","unstructured":"Goodfellow, I.J., Shlens, J., Szegedy, C.: Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 (2014)"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Hendrycks, D., Zhao, K., Basart, S., Steinhardt, J., Song, D.: Natural adversarial examples. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15262\u201315271 (2021)","DOI":"10.1109\/CVPR46437.2021.01501"},{"key":"5_CR16","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, 6\u201312 December 2020, virtual (2020). https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/4c5bcfec8584af0d967f1ab10179ca4b-Abstract.html"},{"key":"5_CR17","unstructured":"Ho, J., Salimans, T.: Classifier-free diffusion guidance. arXiv:2207.12598 (2022)"},{"issue":"6","key":"5_CR18","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1145\/3272127.3275070","volume":"37","author":"KW Hsiao","year":"2018","unstructured":"Hsiao, K.W., Huang, J.B., Chu, H.K.: Multi-view wire art. ACM Trans. Graph. 37(6), 242 (2018)","journal-title":"ACM Trans. Graph."},{"key":"5_CR19","unstructured":"Jaini, P., Clark, K., Geirhos, R.: Intriguing properties of generative classifiers (2024)"},{"issue":"1\u20132","key":"5_CR20","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"2","author":"HW Kuhn","year":"1955","unstructured":"Kuhn, H.W.: The Hungarian method for the assignment problem. Nav. Res. Logist. Q. 2(1\u20132), 83\u201397 (1955)","journal-title":"Nav. Res. Logist. Q."},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Liu, N., Li, S., Du, Y., Torralba, A., Tenenbaum, J.B.: Compositional visual generation with composable diffusion models (2023)","DOI":"10.1007\/978-3-031-19790-1_26"},{"key":"5_CR22","unstructured":"Lo, C., Dinov, I.: Investigation of optical illusions on the aspects of gender and age. UCLA USJ 24 (2011)"},{"key":"5_CR23","unstructured":"Midjourney: Midjourney (2024). https:\/\/midjourney.com. Accessed 22 May 2024"},{"key":"5_CR24","doi-asserted-by":"crossref","unstructured":"Mitra, N.J., Pauly, M.: Shadow art. ACM Trans. Graph. 28(5), 156-1 (2009)","DOI":"10.1145\/1618452.1618502"},{"issue":"1","key":"5_CR25","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1137\/0105003","volume":"5","author":"J Munkres","year":"1957","unstructured":"Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Ind. Appl. Math. 5(1), 32\u201338 (1957)","journal-title":"J. Soc. Ind. Appl. Math."},{"key":"5_CR26","unstructured":"Ngo, J., Sankaranarayanan, S., Isola, P.: Is CLIP fooled by optical illusions? (2023). https:\/\/openreview.net\/forum?id=YdGkE4Ugg2C"},{"key":"5_CR27","unstructured":"Nichol, A., et al.: Glide: towards photorealistic image generation and editing with text-guided diffusion models. arXiv preprint arXiv:2112.10741 (2021)"},{"issue":"3","key":"5_CR28","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1145\/1141911.1141919","volume":"25","author":"A Oliva","year":"2006","unstructured":"Oliva, A., Torralba, A., Schyns, P.G.: Hybrid images. ACM Trans. Graph. (TOG) 25(3), 527\u2013532 (2006)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"5_CR29","unstructured":"Radford, A., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PMLR (2021)"},{"key":"5_CR30","unstructured":"Ramesh, A., et al.: Zero-shot text-to-image generation. In: International Conference on Machine Learning, pp. 8821\u20138831. PMLR (2021)"},{"key":"5_CR31","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":"5_CR32","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models (2021)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"5_CR33","doi-asserted-by":"publisher","unstructured":"Saharia, C., et al.: Photorealistic text-to-image diffusion models with deep language understanding (2022). https:\/\/doi.org\/10.48550\/ARXIV.2205.11487. https:\/\/arxiv.org\/abs\/2205.11487","DOI":"10.48550\/ARXIV.2205.11487"},{"key":"5_CR34","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. Inf. Process. Syst. 35, 36479\u201336494 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"5_CR35","unstructured":"Shonenkov, A., Konstantinov, M., Bakshandaeva, D., Schuhmann, C., Ivanova, K., Klokova, N.: If by deepfloyd lab at stabilityai (2023). https:\/\/github.com\/deep-floyd\/IF. Accessed 22 May 2024"},{"key":"5_CR36","unstructured":"Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. arXiv preprint arXiv:2010.02502 (2020)"},{"key":"5_CR37","unstructured":"Tancik, M.: Illusion-diffusion (2023). https:\/\/github.com\/tancik\/Illusion-Diffusion. Accessed 22 May 2024"},{"key":"5_CR38","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":"5_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.newideapsych.2014.07.001","volume":"36","author":"MM de Wit","year":"2015","unstructured":"de Wit, M.M., van der Kamp, J., Withagen, R.: Visual illusions and direct perception: elaborating on gibson\u2019s insights. New Ideas Psychol. 36, 1\u20139 (2015)","journal-title":"New Ideas Psychol."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-92808-6_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T16:03:58Z","timestamp":1748361838000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-92808-6_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031928079","9783031928086"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-92808-6_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"12 May 2025","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":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}