{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T01:17:11Z","timestamp":1783127831008,"version":"3.54.6"},"reference-count":73,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2021,7,19]],"date-time":"2021-07-19T00:00:00Z","timestamp":1626652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004052","name":"KAUST","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004052","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2021,8,31]]},"abstract":"<jats:p>Imaging systems have long been designed in separated steps: experience-driven optical design followed by sophisticated image processing. Although recent advances in computational imaging aim to bridge the gap in an end-to-end fashion, the image formation models used in these approaches have been quite simplistic, built either on simple wave optics models such as Fourier transform, or on similar paraxial models. Such models only support the optimization of a single lens surface, which limits the achievable image quality.<\/jats:p>\n          <jats:p>To overcome these challenges, we propose a general end-to-end complex lens design framework enabled by a differentiable ray tracing image formation model. Specifically, our model relies on the differentiable ray tracing rendering engine to render optical images in the full field by taking into account all on\/off-axis aberrations governed by the theory of geometric optics. Our design pipeline can jointly optimize the lens module and the image reconstruction network for a specific imaging task. We demonstrate the effectiveness of the proposed method on two typical applications, including large field-of-view imaging and extended depth-of-field imaging. Both simulation and experimental results show superior image quality compared with conventional lens designs. Our framework offers a competitive alternative for the design of modern imaging systems.<\/jats:p>","DOI":"10.1145\/3450626.3459674","type":"journal-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T00:04:27Z","timestamp":1626739467000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":140,"title":["End-to-end complex lens design with differentiate ray tracing"],"prefix":"10.1145","volume":"40","author":[{"given":"Qilin","family":"Sun","sequence":"first","affiliation":[{"name":"King Abdullah University of Science and Technology, Saudi Arabia and Point Spread Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Congli","family":"Wang","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Fu","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiong","family":"Dun","sequence":"additional","affiliation":[{"name":"Tongji University, China, Point Spread Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wolfgang","family":"Heidrich","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,7,19]]},"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","volume-title":"Proceedings of the 34th International Conference on Machine Learning -","volume":"70","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky , Soumith Chintala , and L\u00e9on Bottou . 2017 . Wasserstein Generative Adversarial Networks . In Proceedings of the 34th International Conference on Machine Learning - Volume 70 (Sydney, NSW, Australia) (ICML'17). JMLR.org, 214--223. Martin Arjovsky, Soumith Chintala, and L\u00e9on Bottou. 2017. Wasserstein Generative Adversarial Networks. In Proceedings of the 34th International Conference on Machine Learning - Volume 70 (Sydney, NSW, Australia) (ICML'17). JMLR.org, 214--223."},{"key":"e_1_2_2_3_1","volume-title":"End-to-end hyperspectral-depth imaging with learned diffractive optics. arXiv preprint arXiv:2009.00463","author":"Baek Seung-Hwan","year":"2020","unstructured":"Seung-Hwan Baek , Hayato Ikoma , Daniel S Jeon , Yuqi Li , Wolfgang Heidrich , Gordon Wetzstein , and Min H Kim . 2020. End-to-end hyperspectral-depth imaging with learned diffractive optics. arXiv preprint arXiv:2009.00463 ( 2020 ). Seung-Hwan Baek, Hayato Ikoma, Daniel S Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, and Min H Kim. 2020. End-to-end hyperspectral-depth imaging with learned diffractive optics. arXiv preprint arXiv:2009.00463 (2020)."},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417833"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2987489"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature11150"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1364\/AO.41.006080"},{"key":"e_1_2_2_8_1","volume-title":"Garnett (Eds.)","volume":"29","author":"Chakrabarti Ayan","year":"2016","unstructured":"Ayan Chakrabarti . 2016 . Learning Sensor Multiplexing Design through Back-propagation. In Advances in Neural Information Processing Systems, D. Lee, M. Sugiyama, U. Luxburg, I. Guyon, and R . Garnett (Eds.) , Vol. 29 . Curran Associates, Inc. Ayan Chakrabarti. 2016. Learning Sensor Multiplexing Design through Back-propagation. In Advances in Neural Information Processing Systems, D. Lee, M. Sugiyama, U. Luxburg, I. Guyon, and R. Garnett (Eds.), Vol. 29. Curran Associates, Inc."},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01029"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01029"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00347"},{"key":"e_1_2_2_12_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 ). Shane Colburn, Alan Zhan, and Arka Majumdar. 2018. Metasurface optics for full-color computational imaging. Science Advances 4, 2 (2018)."},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2010.5585101"},{"key":"e_1_2_2_14_1","doi-asserted-by":"crossref","unstructured":"O. Cossairt C. Zhou and S.K. Nayar. 2010. Diffusion Coding Photography for Extended Depth of Field. ACM Transactions on Graphics (TOG) (Aug 2010).  O. Cossairt C. Zhou and S.K. Nayar. 2010. Diffusion Coding Photography for Extended Depth of Field. ACM Transactions on Graphics (TOG) (Aug 2010).","DOI":"10.1145\/1833349.1778768"},{"key":"e_1_2_2_15_1","volume-title":"Gigapixel Computational Imaging. In IEEE International Conference on Computational Photography (ICCP). 1--8.","author":"Cossairt O. S.","unstructured":"O. S. Cossairt , D. Miau , and S. K. Nayar . 2011 . Gigapixel Computational Imaging. In IEEE International Conference on Computational Photography (ICCP). 1--8. O. S. Cossairt, D. Miau, and S. K. Nayar. 2011. Gigapixel Computational Imaging. In IEEE International Conference on Computational Photography (ICCP). 1--8."},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.27.028279"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.401590"},{"key":"e_1_2_2_18_1","volume-title":"Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '97)","author":"Paul","unstructured":"Paul E. Debevec and Jitendra Malik. 1997. Recovering High Dynamic Range Radiance Maps from Photographs . In Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '97) . ACM Press\/Addison-Wesley Publishing Co., USA, 369--378. Paul E. Debevec and Jitendra Malik. 1997. Recovering High Dynamic Range Radiance Maps from Photographs. In Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '97). ACM Press\/Addison-Wesley Publishing Co., USA, 369--378."},{"key":"e_1_2_2_19_1","volume-title":"Extended depth of field through wave-front coding. Applied optics 34, 11","author":"Dowski Edward R","year":"1995","unstructured":"Edward R Dowski and W Thomas Cathey . 1995. Extended depth of field through wave-front coding. Applied optics 34, 11 ( 1995 ), 1859--1866. Edward R Dowski and W Thomas Cathey. 1995. Extended depth of field through wave-front coding. Applied optics 34, 11 (1995), 1859--1866."},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.394413"},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2013.05.003"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1364\/AO.43.005618"},{"key":"e_1_2_2_23_1","volume-title":"Introduction to modern optics","author":"Fowles Grant R","unstructured":"Grant R Fowles . 2012. Introduction to modern optics . Courier Dover Publications . Grant R Fowles. 2012. Introduction to modern optics. Courier Dover Publications."},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_23"},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2849326"},{"key":"e_1_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.62"},{"key":"e_1_2_2_27_1","volume-title":"Encoded diffractive optics for full-spectrum computational imaging. Scientific Reports 6","author":"Heide Felix","year":"2016","unstructured":"Felix Heide , Qiang Fu , Yifan Peng , and Wolfgang Heidrich . 2016. Encoded diffractive optics for full-spectrum computational imaging. Scientific Reports 6 ( 2016 ). Felix Heide, Qiang Fu, Yifan Peng, and Wolfgang Heidrich. 2016. Encoded diffractive optics for full-spectrum computational imaging. Scientific Reports 6 (2016)."},{"key":"e_1_2_2_28_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 ). 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_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"e_1_2_2_30_1","volume-title":"Fundamentals of optics","author":"Jenkins Francis A","unstructured":"Francis A Jenkins and Harvey E White . 2018. Fundamentals of optics . Tata McGraw-Hill Education . Francis A Jenkins and Harvey E White. 2018. Fundamentals of optics. Tata McGraw-Hill Education."},{"key":"e_1_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322946"},{"key":"e_1_2_2_32_1","volume-title":"Data-Driven Design for Fourier Ptychographic Microscopy. In IEEE International Conference on Computational Photography (ICCP). IEEE, 1--8.","author":"Kellman Michael","year":"2019","unstructured":"Michael Kellman , Emrah Bostan , Michael Chen , and Laura Waller . 2019 . Data-Driven Design for Fourier Ptychographic Microscopy. In IEEE International Conference on Computational Photography (ICCP). IEEE, 1--8. Michael Kellman, Emrah Bostan, Michael Chen, and Laura Waller. 2019. Data-Driven Design for Fourier Ptychographic Microscopy. In IEEE International Conference on Computational Photography (ICCP). IEEE, 1--8."},{"key":"e_1_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00795"},{"key":"e_1_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218463"},{"key":"e_1_2_2_35_1","volume-title":"Article 74 (July","author":"Kotwal Alankar","year":"2020","unstructured":"Alankar Kotwal , Anat Levin , and Ioannis Gkioulekas . 2020. Interferometric Transmission Probing with Coded Mutual Intensity. 39, 4 , Article 74 (July 2020 ), 16 pages. Alankar Kotwal, Anat Levin, and Ioannis Gkioulekas. 2020. Interferometric Transmission Probing with Coded Mutual Intensity. 39, 4, Article 74 (July 2020), 16 pages."},{"key":"e_1_2_2_36_1","volume-title":"DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. arXiv preprint arXiv:1711.07064","author":"Kupyn Orest","year":"2017","unstructured":"Orest Kupyn , Volodymyr Budzan , Mykola Mykhailych , Dmytro Mishkin , and Jiri Matas . 2017. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. arXiv preprint arXiv:1711.07064 ( 2017 ). Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiri Matas. 2017. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. arXiv preprint arXiv:1711.07064 (2017)."},{"key":"e_1_2_2_37_1","volume-title":"The IEEE International Conference on Computer Vision (ICCV).","author":"Kupyn Orest","year":"2019","unstructured":"Orest Kupyn , Tetiana Martyniuk , Junru Wu , and Zhangyang Wang . 2019 . DeblurGANv2: Deblurring (Orders-of-Magnitude) Faster and Better . In The IEEE International Conference on Computer Vision (ICCV). Orest Kupyn, Tetiana Martyniuk, Junru Wu, and Zhangyang Wang. 2019. DeblurGANv2: Deblurring (Orders-of-Magnitude) Faster and Better. In The IEEE International Conference on Computer Vision (ICCV)."},{"key":"e_1_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_16"},{"key":"e_1_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276464"},{"key":"e_1_2_2_40_1","volume-title":"ACM Transactions on Graphics (TOG)","volume":"28","author":"Levin Anat","year":"2009","unstructured":"Anat Levin , Samuel W Hasinoff , Paul Green , Fr\u00e9do Durand , and William T Freeman . 2009 . 4D frequency analysis of computational cameras for depth of field extension . In ACM Transactions on Graphics (TOG) , Vol. 28 . ACM, 97. Anat Levin, Samuel W Hasinoff, Paul Green, Fr\u00e9do Durand, and William T Freeman. 2009. 4D frequency analysis of computational cameras for depth of field extension. In ACM Transactions on Graphics (TOG), Vol. 28. ACM, 97."},{"key":"e_1_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.2430506"},{"key":"e_1_2_2_42_1","volume-title":"Handbook of optical design","author":"Malacara-Hern\u00e1Undez Daniel","unstructured":"Daniel Malacara-Hern\u00e1Undez and Zacar\u00edas Malacara-Hern\u00e1ndez . 2016. Handbook of optical design . CRC Press . Daniel Malacara-Hern\u00e1Undez and Zacar\u00edas Malacara-Hern\u00e1ndez. 2016. Handbook of optical design. CRC Press."},{"key":"e_1_2_2_43_1","volume-title":"Picard","author":"Mann S.","year":"1994","unstructured":"S. Mann and Rosalind W . Picard . 1994 . Being 'undigital' with digital cameras: extending dynamic range by combining differently exposed pictures. S. Mann and Rosalind W. Picard. 1994. Being 'undigital' with digital cameras: extending dynamic range by combining differently exposed pictures."},{"key":"e_1_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00145"},{"key":"e_1_2_2_45_1","volume-title":"Proc. SensorComm. IEIFSA.","author":"Monjur Mehjabin","year":"2015","unstructured":"Mehjabin Monjur , Leonidas Spinoulas , Patrick R Gill , and David G Stork . 2015 . Ultra-miniature, computationally efficient diffractive visual-bar-position sensor . In Proc. SensorComm. IEIFSA. Mehjabin Monjur, Leonidas Spinoulas, Patrick R Gill, and David G Stork. 2015. Ultra-miniature, computationally efficient diffractive visual-bar-position sensor. In Proc. SensorComm. IEIFSA."},{"key":"e_1_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.35"},{"key":"e_1_2_2_47_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) I, 436--443","author":"Nayar S.K.","unstructured":"S.K. Nayar , V. Branzoi , and T. Boult . 2004. Programmable Imaging using a Digital Micromirror Array . Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) I, 436--443 . S.K. Nayar, V. Branzoi, and T. Boult. 2004. Programmable Imaging using a Digital Micromirror Array. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) I, 436--443."},{"key":"e_1_2_2_48_1","unstructured":"Elias Nehme Daniel Freedman Racheli Gordon Boris Ferdman Tomer Michaeli and Yoav Shechtman. 2019. Dense three dimensional localization microscopy by deep learning.  Elias Nehme Daniel Freedman Racheli Gordon Boris Ferdman Tomer Michaeli and Yoav Shechtman. 2019. Dense three dimensional localization microscopy by deep learning."},{"key":"e_1_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356498"},{"key":"e_1_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356526"},{"key":"e_1_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2005.9"},{"key":"e_1_2_2_52_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Rouf M.","unstructured":"M. Rouf , R. Mantiuk , W. Heidrich , M. Trentacoste , and C. Lau . 2011. Glare Encoding of High Dynamic Range Images . Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). M. Rouf, R. Mantiuk, W. Heidrich, M. Trentacoste, and C. Lau. 2011. Glare Encoding of High Dynamic Range Images. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.142"},{"key":"e_1_2_2_54_1","volume-title":"Multicolour localization microscopy by point-spread-function engineering. Nature photonics 10","author":"Shechtman Yoav","year":"2016","unstructured":"Yoav Shechtman , Lucien E Weiss , Adam S. Backer , Maurice Y. Lee , and W E Moerner . 2016. Multicolour localization microscopy by point-spread-function engineering. Nature photonics 10 ( 2016 ), 590--594. Yoav Shechtman, Lucien E Weiss, Adam S. Backer, Maurice Y. Lee, and W E Moerner. 2016. Multicolour localization microscopy by point-spread-function engineering. Nature photonics 10 (2016), 590--594."},{"key":"e_1_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33765-9_4"},{"key":"e_1_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201333"},{"key":"e_1_2_2_57_1","volume-title":"Modern lens design","author":"Smith Warren J.","unstructured":"Warren J. Smith . 2005. Modern lens design . McGraw-Hill . Warren J. Smith. 2005. Modern lens design. McGraw-Hill."},{"key":"e_1_2_2_58_1","volume-title":"Proc. SENSORCOMM","author":"Stork David G","year":"2013","unstructured":"David G Stork and Patrick R Gill . 2013 . Lensless ultra-miniature CMOS computational imagers and sensors . Proc. SENSORCOMM (2013), 186--190. David G Stork and Patrick R Gill. 2013. Lensless ultra-miniature CMOS computational imagers and sensors. Proc. SENSORCOMM (2013), 186--190."},{"key":"e_1_2_2_59_1","first-page":"4","article-title":"Optical, mathematical, and computational foundations of lensless ultra-miniature diffractive imagers and sensors","volume":"7","author":"Stork David G","year":"2014","unstructured":"David G Stork and Patrick R Gill . 2014 . Optical, mathematical, and computational foundations of lensless ultra-miniature diffractive imagers and sensors . International Journal on Advances in Systems and Measurements 7 , 3 (2014), 4 . David G Stork and Patrick R Gill. 2014. Optical, mathematical, and computational foundations of lensless ultra-miniature diffractive imagers and sensors. International Journal on Advances in Systems and Measurements 7, 3 (2014), 4.","journal-title":"International Journal on Advances in Systems and Measurements"},{"key":"e_1_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00036"},{"key":"e_1_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00146"},{"key":"e_1_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372261"},{"key":"e_1_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.4.000467"},{"key":"e_1_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508390"},{"key":"e_1_2_2_65_1","volume-title":"IEEE International Conference on Computational Photography (ICCP).","author":"Wu Yicheng","year":"2019","unstructured":"Yicheng Wu , Vivek Boominathan , Huaijin Chen , Aswin Sankaranarayanan , and Ashok Veeraraghavan . 2019 a. PhaseCam3D - Learning Phase Masks for Passive Single View Depth Estimation . In IEEE International Conference on Computational Photography (ICCP). Yicheng Wu, Vivek Boominathan, Huaijin Chen, Aswin Sankaranarayanan, and Ashok Veeraraghavan. 2019a. PhaseCam3D - Learning Phase Masks for Passive Single View Depth Estimation. In IEEE International Conference on Computational Photography (ICCP)."},{"key":"e_1_2_2_66_1","volume-title":"IEEE International Conference on Computational Photography (ICCP). IEEE Computer Society","author":"Wu Y.","unstructured":"Y. Wu , V. Boominathan , H. Chen , A. Sankaranarayanan , and A. Veeraraghavan . 2019b. PhaseCam3D \u00e2&euro;\" Learning Phase Masks for Passive Single View Depth Estimation . In IEEE International Conference on Computational Photography (ICCP). IEEE Computer Society , Los Alamitos, CA, USA, 1--12. Y. Wu, V. Boominathan, H. Chen, A. Sankaranarayanan, and A. Veeraraghavan. 2019b. PhaseCam3D \u00e2&euro;\" Learning Phase Masks for Passive Single View Depth Estimation. In IEEE International Conference on Computational Photography (ICCP). IEEE Computer Society, Los Alamitos, CA, USA, 1--12."},{"key":"e_1_2_2_67_1","volume-title":"IEEE International Conference on Computational Photography (ICCP). 1--10","author":"Wu Y.","unstructured":"Y. Wu , F. Li , F. Willomitzer , A. Veeraraghavan , and O. Cossairt . 2020. WISHED: Wavefront imaging sensor with high resolution and depth ranging . In IEEE International Conference on Computational Photography (ICCP). 1--10 . Y. Wu, F. Li, F. Willomitzer, A. Veeraraghavan, and O. Cossairt. 2020. WISHED: Wavefront imaging sensor with high resolution and depth ranging. In IEEE International Conference on Computational Photography (ICCP). 1--10."},{"key":"e_1_2_2_68_1","volume-title":"Ce Liu, and Jiaya Jia.","author":"Xu Li","year":"2014","unstructured":"Li Xu , Jimmy SJ Ren , Ce Liu, and Jiaya Jia. 2014 . Deep convolutional neural network for image deconvolution. In Advances in Neural Information Processing Systems . 1790--1798. Li Xu, Jimmy SJ Ren, Ce Liu, and Jiaya Jia. 2014. Deep convolutional neural network for image deconvolution. In Advances in Neural Information Processing Systems. 1790--1798."},{"key":"e_1_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2017.7951481"},{"key":"e_1_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392383"},{"key":"e_1_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356522"},{"key":"e_1_2_2_72_1","volume-title":"Rynson WH Lau, and Ming-Hsuan Yang","author":"Zhang Jiawei","year":"2017","unstructured":"Jiawei Zhang , Jinshan Pan , Wei-Sheng Lai , Rynson WH Lau, and Ming-Hsuan Yang . 2017 . Learning fully convolutional networks for iterative non-blind deconvolution. (2017). Jiawei Zhang, Jinshan Pan, Wei-Sheng Lai, Rynson WH Lau, and Ming-Hsuan Yang. 2017. Learning fully convolutional networks for iterative non-blind deconvolution. (2017)."},{"key":"e_1_2_2_73_1","volume-title":"Single Image Reflection Separation with PerceptualLosses. In IEEE Conference on Computer Vision and Pattern Recognition.","author":"Zhang Xuaner","year":"2018","unstructured":"Xuaner Zhang , Ren Ng , and Qifeng Chen . 2018 . Single Image Reflection Separation with PerceptualLosses. In IEEE Conference on Computer Vision and Pattern Recognition. Xuaner Zhang, Ren Ng, and Qifeng Chen. 2018. Single Image Reflection Separation with PerceptualLosses. In IEEE Conference on Computer Vision and Pattern Recognition."}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3450626.3459674","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3450626.3459674","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:16Z","timestamp":1750191436000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3450626.3459674"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,19]]},"references-count":73,"aliases":["10.1145\/3476576.3476624"],"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,8,31]]}},"alternative-id":["10.1145\/3450626.3459674"],"URL":"https:\/\/doi.org\/10.1145\/3450626.3459674","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,19]]},"assertion":[{"value":"2021-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}