{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T18:54:17Z","timestamp":1774637657916,"version":"3.50.1"},"reference-count":100,"publisher":"Association for Computing Machinery (ACM)","issue":"4","funder":[{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["2047359"],"award-info":[{"award-number":["2047359"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2025,8,1]]},"abstract":"<jats:p>Modern nanofabrication techniques have enabled us to manipulate the wave-front of light with sub-wavelength-scale structures, offering the potential to replace bulky refractive surfaces in conventional optics with ultrathin metasurfaces. In theory, arrays of nanoposts provide unprecedented control over manipulating the wavefront in terms of phase, polarization, and amplitude at the nanometer resolution. A line of recent work successfully investigates flat computational cameras that replace compound lenses with a single metalens or an array of metasurfaces a few millimeters from the sensor. However, due to the inherent wavelength dependence of metalenses, in practice, these cameras do not match their refractive counterparts in image quality for broadband imaging, and may even suffer from hallucinations when relying on generative reconstruction methods.<\/jats:p>\n                  <jats:p>In this work, we investigate a collaborative array of metasurface elements that are jointly learned to perform broadband imaging. To this end, we learn a nanophotonics array with 100-million nanoposts that is end-to-end jointly optimized over the full visible spectrum\u2014a design task that existing inverse design methods or learning approaches cannot support due to memory and compute limitations. We introduce a distributed meta-optics learning method to tackle this challenge. This allows us to optimize a large parameter array along with a learned metaatom proxy and a non-generative reconstruction method that is parallax-aware and noise-aware. The proposed camera performs favorably in simulation and in all experimental tests irrespective of the scene illumination spectrum.<\/jats:p>","DOI":"10.1145\/3731200","type":"journal-article","created":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T04:02:22Z","timestamp":1753588942000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Collaborative On-Sensor Array Cameras"],"prefix":"10.1145","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4094-8512","authenticated-orcid":false,"given":"Jipeng","family":"Sun","sequence":"first","affiliation":[{"name":"Department of Computer Science, Princeton University, Princeton, New Jersey, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9887-0455","authenticated-orcid":false,"given":"Kaixuan","family":"Wei","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1523-7577","authenticated-orcid":false,"given":"Thomas","family":"Eboli","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris-Saclay, Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3112-2820","authenticated-orcid":false,"given":"Congli","family":"Wang","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0367-8701","authenticated-orcid":false,"given":"Cheng","family":"Zheng","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9700-7940","authenticated-orcid":false,"given":"Zhihao","family":"Zhou","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0917-590X","authenticated-orcid":false,"given":"Arka","family":"Majumdar","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4227-8508","authenticated-orcid":false,"given":"Wolfgang","family":"Heidrich","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8054-9823","authenticated-orcid":false,"given":"Felix","family":"Heide","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.5.000001"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41566-022-01108-6"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2593662"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00570"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00265"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1958.tb03874.x"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2016.2581921"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2987489"},{"key":"e_1_2_2_9_1","volume-title":"Learning sensor multiplexing design through back-propagation. Advances in Neural Information Processing Systems 29","author":"Chakrabarti Ayan","year":"2016","unstructured":"Ayan Chakrabarti. 2016. Learning sensor multiplexing design through back-propagation. Advances in Neural Information Processing Systems 29 (2016)."},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3618398"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01029"},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41565-017-0034-6"},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00900"},{"key":"e_1_2_2_14_1","volume-title":"Metasurface optics for full-color computational imaging. Science Advances 4, 2","author":"Colburn Shane","year":"2018","unstructured":"Shane Colburn, Alan Zhan, and Arka Majumdar. 2018. Metasurface optics for full-color computational imaging. Science Advances 4, 2 (2018), eaar2114."},{"key":"e_1_2_2_15_1","volume-title":"Blender - a 3D modelling and rendering package. https:\/\/www.blender.org Blender Foundation","author":"Community Blender Online","unstructured":"Blender Online Community. 2025a. Blender - a 3D modelling and rendering package. https:\/\/www.blender.org Blender Foundation, Stichting Blender Foundation, Amsterdam."},{"key":"e_1_2_2_16_1","volume-title":"Cycles - A Physically Based Production Renderer. https:\/\/www.cycles-renderer.org\/ Blender Foundation","author":"Community Blender Online","unstructured":"Blender Online Community. 2025b. Cycles - A Physically Based Production Renderer. https:\/\/www.cycles-renderer.org\/ Blender Foundation, Stichting Blender Foundation, Amsterdam."},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1021\/acsphotonics.3c01870"},{"key":"e_1_2_2_18_1","volume-title":"Tunable structured light with flat optics. Science 376, 6591","author":"Dorrah Ahmed H","year":"2022","unstructured":"Ahmed H Dorrah and Federico Capasso. 2022. Tunable structured light with flat optics. Science 376, 6591 (2022), eabi6860."},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20068-7_40"},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2001399"},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-025-58208-4"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3009999"},{"key":"e_1_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02395"},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1063\/1.3035549"},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00181"},{"key":"e_1_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2849326"},{"key":"e_1_2_2_27_1","unstructured":"Poly Haven. 2025. A curated public 3D asset library. (2025). https:\/\/polyhaven.com\/collections"},{"key":"e_1_2_2_28_1","volume-title":"Zhujun Shi, Federico Capasso, Todd Zickler, and Qi Guo.","author":"Hazineh Dean S","year":"2022","unstructured":"Dean S Hazineh, Soon Wei Daniel Lim, Zhujun Shi, Federico Capasso, Todd Zickler, and Qi Guo. 2022. D-flat: A differentiable flat-optics framework for end-to-end metasurface visual sensor design. arXiv preprint arXiv:2207.14780 (2022),."},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep33543"},{"key":"e_1_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2516971.2516974"},{"key":"e_1_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540158"},{"key":"e_1_2_2_32_1","volume-title":"Convolutional neural networks that teach microscopes how to image. ArXiv abs\/1709.07223","author":"Horstmeyer Roarke","year":"2017","unstructured":"Roarke Horstmeyer, Richard Y. Chen, Barbara Kappes, and Benjamin Judkewitz. 2017. Convolutional neural networks that teach microscopes how to image. ArXiv abs\/1709.07223 (2017)."},{"key":"e_1_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2019.102591"},{"key":"e_1_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13626"},{"key":"e_1_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02086"},{"key":"e_1_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2013.6475015"},{"key":"e_1_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2019.8747339"},{"key":"e_1_2_2_38_1","volume-title":"Flatnet: Towards photorealistic scene reconstruction from lensless measurements","author":"Khan Salman Siddique","year":"2020","unstructured":"Salman Siddique Khan, Varun Sundar, Vivek Boominathan, Ashok Veeraraghavan, and Kaushik Mitra. 2020. Flatnet: Towards photorealistic scene reconstruction from lensless measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)."},{"key":"e_1_2_2_39_1","volume-title":"Metalenses: Versatile multifunctional photonic components. Science 358, 6367","author":"Khorasaninejad Mohammadreza","year":"2017","unstructured":"Mohammadreza Khorasaninejad and Federico Capasso. 2017. Metalenses: Versatile multifunctional photonic components. Science 358, 6367 (2017), eaam8100."},{"key":"e_1_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaf6644"},{"key":"e_1_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.nanolett.6b05137"},{"key":"e_1_2_2_42_1","volume-title":"Shalaev","author":"Kildishev Alexander V.","year":"2013","unstructured":"Alexander V. Kildishev, Alexandra Boltasseva, and Vladimir M. Shalaev. 2013. Planar Photonics with Metasurfaces. Science 339 (2013)."},{"key":"e_1_2_2_43_1","volume-title":"Metasurface folded lens system for ultrathin cameras. Science Advances 10, 44","author":"Kim Youngjin","year":"2024","unstructured":"Youngjin Kim, Taewon Choi, Gun-Yeal Lee, Changhyun Kim, Junseo Bang, Junhyeok Jang, Yoonchan Jeong, and Byoungho Lee. 2024. Metasurface folded lens system for ultrathin cameras. Science Advances 10, 44 (2024), eadr2319."},{"key":"e_1_2_2_44_1","volume-title":"Lens design fundamentals","author":"Kingslake Rudolf","unstructured":"Rudolf Kingslake and R Barry Johnson. 2009. Lens design fundamentals. Academic Press."},{"key":"e_1_2_2_45_1","volume-title":"Ring deconvolution microscopy: An exact solution for spatially-varying aberration correction. arXiv preprint arXiv:2206.08928","author":"Kohli Amit","year":"2022","unstructured":"Amit Kohli, Anastasios N Angelopoulos, David McAllister, Esther Whang, Sixian You, Kyrollos Yanny, Federico M Gasparoli, and Laura Waller. 2022. Ring deconvolution microscopy: An exact solution for spatially-varying aberration correction. arXiv preprint arXiv:2206.08928 (2022)."},{"key":"e_1_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780203736708"},{"key":"e_1_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1364\/COSI.2017.CTu3B.2"},{"key":"e_1_2_2_48_1","volume-title":"Deep learning. Nature 521, 7553","author":"LeCun Yann","year":"2015","unstructured":"Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. Nature 521, 7553 (2015), 436\u2013444."},{"key":"e_1_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00267"},{"key":"e_1_2_2_50_1","volume-title":"Brongersma","author":"Lin Dianmin","year":"2014","unstructured":"Dianmin Lin, Pengyu Fan, Erez Hasman, and Mark L. Brongersma. 2014. Dielectric gradient metasurface optical elements. Science 345, 6194 (2014), 298\u2013302."},{"key":"e_1_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.55.001007"},{"key":"e_1_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.2312\/SR.20191216"},{"key":"e_1_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130884"},{"key":"e_1_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2986944"},{"key":"e_1_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.018453"},{"key":"e_1_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12676"},{"key":"e_1_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00145"},{"key":"e_1_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.397214"},{"key":"e_1_2_2_59_1","volume-title":"End-to-end Optimization of Fluidic Lenses. In SIGGRAPH Asia 2024 Conference Papers. 1\u201310","author":"Na Mulun","year":"2024","unstructured":"Mulun Na, Hector A Jimenez Romero, Xinge Yang, Jonathan Klein, Dominik L Michels, and Wolfgang Heidrich. 2024. End-to-end Optimization of Fluidic Lenses. In SIGGRAPH Asia 2024 Conference Papers. 1\u201310."},{"key":"e_1_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-0853-5"},{"key":"e_1_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13332"},{"key":"e_1_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1002\/adom.202402853"},{"key":"e_1_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.23.031393"},{"key":"e_1_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925941"},{"key":"e_1_2_2_65_1","article-title":"Learned Large Field-of-View Imaging With Thin-Plate Optics","volume":"38","author":"Peng Yifan","year":"2019","unstructured":"Yifan Peng, Qilin Sun, Xiong Dun, Gordon Wetzstein, Wolfgang Heidrich, and Felix Heide. 2019. Learned Large Field-of-View Imaging With Thin-Plate Optics. ACM Transactions on Graphics (SIGGRAPH Asia) 38, 6 (2019).","journal-title":"ACM Transactions on Graphics (SIGGRAPH Asia)"},{"key":"e_1_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.389404"},{"key":"e_1_2_2_67_1","volume-title":"Nonlinear total variation based noise removal algorithms. Physica D: nonlinear phenomena 60, 1\u20134","author":"Rudin Leonid I","year":"1992","unstructured":"Leonid I Rudin, Stanley Osher, and Emad Fatemi. 1992. Nonlinear total variation based noise removal algorithms. Physica D: nonlinear phenomena 60, 1\u20134 (1992), 259\u2013268."},{"key":"e_1_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126301"},{"key":"e_1_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2016.137"},{"key":"e_1_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3658225"},{"key":"e_1_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3687976"},{"key":"e_1_2_2_72_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41377-018-0078-x"},{"key":"e_1_2_2_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201333"},{"key":"e_1_2_2_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP56744.2023.10233713"},{"key":"e_1_2_2_75_1","volume-title":"Qiang Fu, and Wolfgang Heidrich.","author":"Souza Matheus","year":"2024","unstructured":"Matheus Souza, Yidan Zheng, Kaizhang Kang, Yogeshwar Nath Mishra, Qiang Fu, and Wolfgang Heidrich. 2024. Latent Space Imaging. arXiv preprint arXiv:2407.07052 (2024)."},{"key":"e_1_2_2_76_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00668"},{"key":"e_1_2_2_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00146"},{"key":"e_1_2_2_78_1","first-page":"1","article-title":"End-to-end complex lens design with differentiable ray tracing","volume":"40","author":"Sun Qilin","year":"2021","unstructured":"Qilin Sun, Congli Wang, Qiang Fu, Xiong Dun, and Wolfgang Heidrich. 2021. End-to-end complex lens design with differentiable ray tracing. ACM Transactions on Graphics (SIGGRAPH) 40, 4 (2021), 1\u201313.","journal-title":"ACM Transactions on Graphics (SIGGRAPH)"},{"key":"e_1_2_2_79_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012170960-0\/50046-3"},{"key":"e_1_2_2_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00709"},{"key":"e_1_2_2_81_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"e_1_2_2_82_1","volume-title":"Neural Nano-Optics for High-quality Thin Lens Imaging. Nature Communications (December","author":"Tseng Ethan","year":"2021","unstructured":"Ethan Tseng, Shane Colburn, James Whitehead, Luocheng Huang, Seung-Hwan Baek, Arka Majumdar, and Felix Heide. 2021a. Neural Nano-Optics for High-quality Thin Lens Imaging. Nature Communications (December 2021)."},{"key":"e_1_2_2_83_1","doi-asserted-by":"publisher","DOI":"10.1145\/3446791"},{"key":"e_1_2_2_84_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591565"},{"key":"e_1_2_2_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508390"},{"key":"e_1_2_2_86_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2022.3212837"},{"key":"e_1_2_2_87_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41565-017-0052-4"},{"key":"e_1_2_2_88_1","volume-title":"Spatially varying nanophotonic neural networks. Science Advances 10, 45","author":"Wei Kaixuan","year":"2024","unstructured":"Kaixuan Wei, Xiao Li, Johannes Froech, Praneeth Chakravarthula, James Whitehead, Ethan Tseng, Arka Majumdar, and Felix Heide. 2024. Spatially varying nanophotonic neural networks. Science Advances 10, 45 (2024), eadp0391."},{"key":"e_1_2_2_89_1","unstructured":"Norbert Wiener. 1964. Extrapolation Interpolation and Smoothing of Stationary Time Series. (1964)."},{"key":"e_1_2_2_90_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41377-024-01674-0"},{"key":"e_1_2_2_91_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41377-020-0289-9"},{"key":"e_1_2_2_92_1","volume-title":"Proceedings of the IEEE International Conference on Computational Photography (ICCP). IEEE, 1\u201312","author":"Wu Yicheng","year":"2019","unstructured":"Yicheng Wu, Vivek Boominathan, Huaijin Chen, Aswin Sankaranarayanan, and Ashok Veeraraghavan. 2019. PhaseCam3D \u2014 Learning Phase Masks for Passive Single View Depth Estimation. In Proceedings of the IEEE International Conference on Computational Photography (ICCP). IEEE, 1\u201312."},{"key":"e_1_2_2_93_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-50835-7"},{"key":"e_1_2_2_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/3680528.3687640"},{"key":"e_1_2_2_95_1","doi-asserted-by":"publisher","DOI":"10.1364\/AO.33.002157"},{"key":"e_1_2_2_96_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_39"},{"key":"e_1_2_2_97_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmat3839"},{"key":"e_1_2_2_98_1","first-page":"333","article-title":"Light Propagation with Phase Discontinuities","volume":"334","author":"Yu Nanfang","year":"2011","unstructured":"Nanfang Yu, Patrice Genevet, Mikhail A. Kats, Francesco Aieta, Jean-Philippe Tetienne, Federico Capasso, and Zeno Gaburro. 2011. Light Propagation with Phase Discontinuities: Generalized Laws of Reflection and Refraction. Science 334 (2011), 333\u2013337.","journal-title":"Generalized Laws of Reflection and Refraction. Science"},{"key":"e_1_2_2_99_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"e_1_2_2_100_1","doi-asserted-by":"publisher","DOI":"10.14778\/3611540.3611569"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3731200","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T17:54:11Z","timestamp":1774634051000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3731200"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,27]]},"references-count":100,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,8,1]]}},"alternative-id":["10.1145\/3731200"],"URL":"https:\/\/doi.org\/10.1145\/3731200","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,27]]},"assertion":[{"value":"2025-07-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}