{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T17:05:42Z","timestamp":1780765542542,"version":"3.54.1"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T00:00:00Z","timestamp":1758585600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T00:00:00Z","timestamp":1758585600000},"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":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1007\/s11432-024-4490-3","type":"journal-article","created":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T04:25:17Z","timestamp":1760329517000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["RHINO: regularizing the hash-based implicit neural representation"],"prefix":"10.1007","volume":"69","author":[{"given":"Hao","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengyi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xun","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,23]]},"reference":[{"key":"4490_CR1","first-page":"7462","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems","author":"V Sitzmann","year":"2020","unstructured":"Sitzmann V, Martel J, Bergman A, et al. Implicit neural representations with periodic activation functions. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, 2020. 7462\u20137473"},{"key":"4490_CR2","first-page":"10598","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"R Gao","year":"2022","unstructured":"Gao R, Si Z, Chang Y Y, et al. Objectfolder 2.0: a multisensory object dataset for sim2real transfer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 10598\u201310608"},{"key":"4490_CR3","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1111\/cgf.14507","volume":"41","author":"A Tewari","year":"2022","unstructured":"Tewari A, Thies J, Mildenhall B, et al. Advances in neural rendering. Comput Graph Forum, 2022, 41: 703\u2013735","journal-title":"Comput Graph Forum"},{"key":"4490_CR4","doi-asserted-by":"publisher","first-page":"2649","DOI":"10.1007\/s11263-023-01829-3","volume":"131","author":"J Zhu","year":"2023","unstructured":"Zhu J, Zhu H, Zhang Q, et al. Pyramid NeRF: frequency guided fast radiance field optimization. Int J Comput Vis, 2023, 131: 2649\u20132664","journal-title":"Int J Comput Vis"},{"key":"4490_CR5","doi-asserted-by":"publisher","first-page":"18168","DOI":"10.1364\/OE.455360","volume":"30","author":"H Zhu","year":"2022","unstructured":"Zhu H, Liu Z, Zhou Y, et al. DNF: diffractive neural field for lensless microscopic imaging. Opt Express, 2022, 30: 18168\u201318178","journal-title":"Opt Express"},{"key":"4490_CR6","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1038\/s42256-022-00530-3","volume":"4","author":"R Liu","year":"2022","unstructured":"Liu R, Sun Y, Zhu J, et al. Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields. Nat Mach Intell, 2022, 4: 781\u2013791","journal-title":"Nat Mach Intell"},{"key":"4490_CR7","doi-asserted-by":"publisher","first-page":"11618","DOI":"10.1364\/OE.384875","volume":"28","author":"Y Chen","year":"2020","unstructured":"Chen Y, Lu L, Karniadakis G E, et al. Physics-informed neural networks for inverse problems in nano-optics and metamaterials. Opt Express, 2020, 28: 11618\u201311633","journal-title":"Opt Express"},{"key":"4490_CR8","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1038\/s42254-021-00314-5","volume":"3","author":"G E Karniadakis","year":"2021","unstructured":"Karniadakis G E, Kevrekidis I G, Lu L, et al. Physics-informed machine learning. Nat Rev Phys, 2021, 3: 422\u2013440","journal-title":"Nat Rev Phys"},{"key":"4490_CR9","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1126\/science.aaw4741","volume":"367","author":"M Raissi","year":"2020","unstructured":"Raissi M, Yazdani A, Karniadakis G E. Hidden fluid mechanics: learning velocity and pressure fields from flow visualizations. Science, 2020, 367: 1026\u20131030","journal-title":"Science"},{"key":"4490_CR10","unstructured":"Rahaman N, Baratin A, Arpit D, et al. On the spectral bias of neural networks. 2019. ArXiv:1806.08734"},{"key":"4490_CR11","first-page":"7537","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems","author":"M Tancik","year":"2020","unstructured":"Tancik M, Srinivasan P, Mildenhall B, et al. Fourier features let networks learn high frequency functions in low dimensional domains. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, 2020. 7537\u20137547"},{"key":"4490_CR12","first-page":"16252","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"D B Lindell","year":"2022","unstructured":"Lindell D B, van Veen D, Park J J, et al. Bacon: band-limited coordinate networks for multiscale scene representation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 16252\u201316262"},{"key":"4490_CR13","first-page":"142","volume-title":"Proceedings of the European Conference on Computer Vision","author":"S Ramasinghe","year":"2022","unstructured":"Ramasinghe S, Lucey S. Beyond periodicity: towards a unifying framework for activations in coordinate-MLPs. In: Proceedings of the European Conference on Computer Vision, 2022. 142\u2013158"},{"key":"4490_CR14","first-page":"19228","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"G Y\u00fcce","year":"2022","unstructured":"Y\u00fcce G, Ortiz-Jim\u00e9nez G, Besbinar B, et al. A structured dictionary perspective on implicit neural representations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 19228\u201319238"},{"key":"4490_CR15","first-page":"18507","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"V Saragadam","year":"2023","unstructured":"Saragadam V, LeJeune D, Tan J, et al. Wire: wavelet implicit neural representations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 18507\u201318516"},{"key":"4490_CR16","first-page":"15651","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems","author":"L Liu","year":"2020","unstructured":"Liu L, Gu J, Zaw Lin K, et al. Neural sparse voxel fields. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, 2020. 15651\u201315663"},{"key":"4490_CR17","first-page":"11358","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"T Takikawa","year":"2021","unstructured":"Takikawa T, Litalien J, Yin K, et al. Neural geometric level of detail: real-time rendering with implicit 3D shapes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021. 11358\u201311367"},{"key":"4490_CR18","first-page":"608","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV 2020)","author":"R Chabra","year":"2020","unstructured":"Chabra R, Lenssen J E, Ilg E, et al. Deep local shapes: learning local SDF priors for detailed 3D reconstruction. In: Proceedings of the European Conference on Computer Vision (ECCV 2020), 2020. 608\u2013625"},{"key":"4490_CR19","first-page":"6001","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"C Jiang","year":"2020","unstructured":"Jiang C, Sud A, Makadia A, et al. Local implicit grid representations for 3D scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020. 6001\u20136010"},{"key":"4490_CR20","first-page":"1","volume-title":"Proceedings of the ACM Transactions on Graphics (TOG)","author":"T M\u00fcller","year":"2022","unstructured":"M\u00fcller T, Evans A, Schied C, et al. Instant neural graphics primitives with a multiresolution hash encoding. In: Proceedings of the ACM Transactions on Graphics (TOG), 2022. 1\u201315"},{"key":"4490_CR21","first-page":"8186","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"N Kang","year":"2023","unstructured":"Kang N, Lee B, Hong Y, et al. Pixel: physics-informed cell representations for fast and accurate PDE solvers. In: Proceedings of the AAAI Conference on Artificial Intelligence, 2023. 8186\u20138194"},{"key":"4490_CR22","volume-title":"Proceedings of the IEEE Transactions on Pattern Analysis and Machine Intelligence","author":"H Zhu","year":"2024","unstructured":"Zhu H, Xie S, Liu Z, et al. Disorder-invariant implicit neural representation. In: Proceedings of the IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024"},{"key":"4490_CR23","first-page":"7949","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"A Pumarola","year":"2020","unstructured":"Pumarola A, Popov S, Moreno-Noguer F, et al. C-flow: conditional generative flow models for images and 3D point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020. 7949\u20137958"},{"key":"4490_CR24","first-page":"52","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV)","author":"N Wang","year":"2018","unstructured":"Wang N, Zhang Y, Li Z, et al. Pixel2mesh: generating 3D mesh models from single RGB images. In: Proceedings of the European Conference on Computer Vision (ECCV), 2018. 52\u201367"},{"key":"4490_CR25","first-page":"1","volume":"36","author":"P S Wang","year":"2017","unstructured":"Wang P S, Liu Y, Guo Y X, et al. O-CNN: octree-based convolutional neural networks for 3D shape analysis. ACM Trans Graph, 2017, 36: 1\u201311","journal-title":"ACM Trans Graph"},{"key":"4490_CR26","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1145\/3503250","volume":"65","author":"B Mildenhall","year":"2021","unstructured":"Mildenhall B, Srinivasan P P, Tancik M, et al. NeRF: representing scenes as neural radiance fields for view synthesis. Commun ACM, 2021, 65: 99\u2013106","journal-title":"Commun ACM"},{"key":"4490_CR27","first-page":"5855","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"J T Barron","year":"2021","unstructured":"Barron J T, Mildenhall B, Tancik M, et al. Mip-NeRF: a multiscale representation for anti-aliasing neural radiance fields. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021. 5855\u20135864"},{"key":"4490_CR28","first-page":"4460","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"L Mescheder","year":"2019","unstructured":"Mescheder L, Oechsle M, Niemeyer M, et al. Occupancy networks: learning 3D reconstruction in function space. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2019. 4460\u20134470"},{"key":"4490_CR29","first-page":"5521","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"T Li","year":"2022","unstructured":"Li T, Slavcheva M, Zollhoefer M, et al. Neural 3D video synthesis from multi-view video. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 5521\u20135531"},{"key":"4490_CR30","first-page":"19706","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"F Wang","year":"2023","unstructured":"Wang F, Tan S, Li X, et al. Mixed neural voxels for fast multi-view video synthesis. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023. 19706\u201319716"},{"key":"4490_CR31","first-page":"1","volume-title":"Proceedings of the SIGGRAPH Asia 2022 Conference Papers","author":"J Fang","year":"2022","unstructured":"Fang J, Yi T, Wang X, et al. Fast dynamic radiance fields with time-aware neural voxels. In: Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022. 1\u20139"},{"key":"4490_CR32","first-page":"12479","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"S Fridovich-Keil","year":"2023","unstructured":"Fridovich-Keil S, Meanti G, Warburg F R, et al. K-planes: explicit radiance fields in space, time, and appearance. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 12479\u201312488"},{"key":"4490_CR33","unstructured":"Wang P, Liu L, Liu Y, et al. NeuS: learning neural implicit surfaces by volume rendering for multi-view reconstruction. 2021. ArXiv:2106.10689"},{"key":"4490_CR34","first-page":"4805","volume-title":"Proceedings of the Advances in Neural Information Processing Systems","author":"L Yariv","year":"2021","unstructured":"Yariv L, Gu J, Kasten Y, et al. Volume rendering of neural implicit surfaces. In: Proceedings of the Advances in Neural Information Processing Systems, 2021. 4805\u20134815"},{"key":"4490_CR35","first-page":"25018","volume-title":"Proceedings of the Advances in Neural Information Processing Systems","author":"Z Yu","year":"2022","unstructured":"Yu Z, Peng S, Niemeyer M, et al. MonoSDF: exploring monocular geometric cues for neural implicit surface reconstruction. In: Proceedings of the Advances in Neural Information Processing Systems, 2022. 25018\u201325032"},{"key":"4490_CR36","first-page":"14124","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"A Chen","year":"2021","unstructured":"Chen A, Xu Z, Zhao F, et al. MVSNeRF: fast generalizable radiance field reconstruction from multi-view stereo. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021. 14124\u201314133"},{"key":"4490_CR37","first-page":"97","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"X Huang","year":"2023","unstructured":"Huang X, Zhang Q, Feng Y, et al. Local implicit ray function for generalizable radiance field representation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 97\u2013107"},{"key":"4490_CR38","first-page":"7210","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"R Martin-Brualla","year":"2021","unstructured":"Martin-Brualla R, Radwan N, Sajjadi M S M, et al. NeRF in the wild: neural radiance fields for unconstrained photo collections. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021. 7210\u20137219"},{"key":"4490_CR39","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial networks. Commun ACM, 2020, 63: 139\u2013144","journal-title":"Commun ACM"},{"key":"4490_CR40","first-page":"6840","volume-title":"Proceedings of the Advances in Neural Information Processing Systems","author":"J Ho","year":"2020","unstructured":"Ho J, Jain A, Abbeel P. Denoising diffusion probabilistic models. In: Proceedings of the Advances in Neural Information Processing Systems, 2020. 6840\u20136851"},{"key":"4490_CR41","first-page":"16123","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"E R Chan","year":"2022","unstructured":"Chan E R, Lin C Z, Chan M A, et al. Efficient geometry-aware 3D generative adversarial networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 16123\u201316133"},{"key":"4490_CR42","first-page":"13503","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"R Or-El","year":"2022","unstructured":"Or-El R, Luo X, Shan M, et al. StyleSDF: high-resolution 3D-consistent image and geometry generation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 13503\u201313513"},{"key":"4490_CR43","unstructured":"Poole B, Jain A, Barron J T, et al. DreamFusion: text-to-3D using 2D diffusion. 2022. ArXiv:2209.14988"},{"key":"4490_CR44","first-page":"300","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"C H Lin","year":"2023","unstructured":"Lin C H, Gao J, Tang L, et al. Magic3D: high-resolution text-to-3D content creation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 300\u2013309"},{"key":"4490_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3478513.3480546","volume":"40","author":"Y Kasten","year":"2021","unstructured":"Kasten Y, Ofri D, Wang O, et al. Layered neural atlases for consistent video editing. ACM Trans Graph, 2021, 40: 1\u201312","journal-title":"ACM Trans Graph"},{"key":"4490_CR46","first-page":"74","volume-title":"Proceedings of the European Conference on Computer Vision","author":"Y Str\u00fcmpler","year":"2022","unstructured":"Str\u00fcmpler Y, Postels J, Yang R, et al. Implicit neural representations for image compression. In: Proceedings of the European Conference on Computer Vision, 2022. 74\u201391"},{"key":"4490_CR47","first-page":"18398","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"X Huang","year":"2022","unstructured":"Huang X, Zhang Q, Feng Y, et al. HDR-NeRF: high dynamic range neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 18398\u201318408"},{"key":"4490_CR48","first-page":"21456","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"X Huang","year":"2023","unstructured":"Huang X, Zhang Q, Feng Y, et al. Inverting the imaging process by learning an implicit camera model. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 21456\u201321465"},{"key":"4490_CR49","first-page":"4401","volume-title":"Proceedings of the Advances in Neural Information Processing Systems","author":"G Yang","year":"2022","unstructured":"Yang G, Benaim S, Jampani V, et al. Polynomial neural fields for subband decomposition and manipulation. In: Proceedings of the Advances in Neural Information Processing Systems, 2022. 4401\u20134415"},{"key":"4490_CR50","first-page":"5459","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"C Sun","year":"2022","unstructured":"Sun C, Sun M, Chen H T. Direct voxel grid optimization: super-fast convergence for radiance fields reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 5459\u20135469"},{"key":"4490_CR51","first-page":"333","volume-title":"Proceedings of the European Conference on Computer Vision","author":"A Chen","year":"2022","unstructured":"Chen A, Xu Z, Geiger A, et al. TensoRF: tensorial radiance fields. In: Proceedings of the European Conference on Computer Vision, 2022. 333\u2013350"},{"key":"4490_CR52","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava N, Hinton G, Krizhevsky A, et al. Dropout: a simple way to prevent neural networks from overfitting. J Mach Learn Res, 2014, 15: 1929\u20131958","journal-title":"J Mach Learn Res"},{"key":"4490_CR53","unstructured":"Heiss J, Teichmann J, Wutte H. How implicit regularization of ReLU neural networks characterizes the learned function\u2014Part I: the 1-D case of two layers with random first layer. 2019. ArXiv:1911.02903"},{"key":"4490_CR54","first-page":"796","volume-title":"Proceedings of the Advances in Neural Information Processing Systems","author":"S Ramasinghe","year":"2022","unstructured":"Ramasinghe S, MacDonald L E, Lucey S. On the frequency-bias of coordinate-MLPs. In: Proceedings of the Advances in Neural Information Processing Systems, 2022. 796\u2013809"},{"key":"4490_CR55","first-page":"10280","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Z Li","year":"2023","unstructured":"Li Z, Wang H, Meng D. Regularize implicit neural representation by itself. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 10280\u201310288"},{"key":"4490_CR56","first-page":"31","volume-title":"Proceedings of the Advances in Neural Information Processing Systems","author":"A Jacot","year":"2018","unstructured":"Jacot A, Gabriel F, Hongler C. Neural tangent kernel: convergence and generalization in neural networks. In: Proceedings of the Advances in Neural Information Processing Systems, 2018. 31"},{"key":"4490_CR57","first-page":"8296","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"L Xu","year":"2023","unstructured":"Xu L, Xiangli Y, Peng S, et al. Grid-guided neural radiance fields for large urban scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 8296\u20138306"},{"key":"4490_CR58","first-page":"5975","volume-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","author":"J Abou-Chakra","year":"2024","unstructured":"Abou-Chakra J, Dayoub F, S\u00fcnderhauf N. ParticleNeRF: a particle-based encoding for online neural radiance fields. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, 2024. 5975\u20135984"},{"key":"4490_CR59","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"L I Rudin","year":"1992","unstructured":"Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms. Phys D-Nonlinear Phenom, 1992, 60: 259\u2013268","journal-title":"Phys D-Nonlinear Phenom"},{"key":"4490_CR60","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.neunet.2020.09.021","volume":"136","author":"Z Hu","year":"2021","unstructured":"Hu Z, Nie F, Wang R, et al. Low rank regularization: a review. Neural Netws, 2021, 136: 218\u2013232","journal-title":"Neural Netws"},{"key":"4490_CR61","first-page":"19425","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Z Zhao","year":"2024","unstructured":"Zhao Z, Fan F, Liao W, et al. Grounding and enhancing grid-based models for neural fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024. 19425\u201319435"},{"key":"4490_CR62","first-page":"63","volume-title":"Proceedings of the Smart Tools and Applications in Graphics (STAG)","author":"N Asuni","year":"2014","unstructured":"Asuni N, Giachetti A. TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms. In: Proceedings of the Smart Tools and Applications in Graphics (STAG), 2014. 63\u201370"},{"key":"4490_CR63","volume-title":"Torch-NGP: a PyTorch implementation of Instant-NGP","author":"J Tang","year":"2022","unstructured":"Tang J. Torch-NGP: a PyTorch implementation of Instant-NGP. 2022. https:\/\/github.com\/ashawkey\/torch-ngp"},{"key":"4490_CR64","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1145\/280811.281026","volume-title":"Seminal Graphics: Pioneering Efforts That Shaped the Field. New York: ACM Press","author":"W E Lorensen","year":"1998","unstructured":"Lorensen W E, Cline H E. Marching cubes: a high resolution 3D surface construction algorithm. In: Seminal Graphics: Pioneering Efforts That Shaped the Field. New York: ACM Press, 1998. 347\u2013353"},{"key":"4490_CR65","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/2945.468400","volume":"1","author":"N Max","year":"1995","unstructured":"Max N. Optical models for direct volume rendering. IEEE Trans Visual Comput Graphics, 1995, 1: 99\u2013108","journal-title":"IEEE Trans Visual Comput Graphics"},{"key":"4490_CR66","first-page":"5501","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"S Fridovich-Keil","year":"2022","unstructured":"Fridovich-Keil S, Yu A, Tancik M, et al. Plenoxels: radiance fields without neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022. 5501\u20135510"},{"key":"4490_CR67","first-page":"5752","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"A Yu","year":"2021","unstructured":"Yu A, Li R, Tancik M, et al. Plenoctrees for real-time rendering of neural radiance fields. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021. 5752\u20135761"},{"key":"4490_CR68","first-page":"19697","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"J T Barron","year":"2023","unstructured":"Barron J T, Mildenhall B, Verbin D, et al. Zip-NeRF: anti-aliased grid-based neural radiance fields. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023. 19697\u201319705"},{"key":"4490_CR69","first-page":"130","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"A Cao","year":"2023","unstructured":"Cao A, Johnson J. Hexplane: a fast representation for dynamic scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 130\u2013141"},{"key":"4490_CR70","first-page":"20875","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"J R Shue","year":"2023","unstructured":"Shue J R, Chan E R, Po R, et al. 3D neural field generation using triplane diffusion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023. 20875\u201320886"},{"key":"4490_CR71","doi-asserted-by":"crossref","unstructured":"Park K, Sinha U, Hedman P, et al. HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields. 2021. ArXiv:2106.13228","DOI":"10.1145\/3478513.3480487"},{"key":"4490_CR72","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1038\/s41566-018-0253-x","volume":"12","author":"Y K Park","year":"2018","unstructured":"Park Y K, Depeursinge C, Popescu G. Quantitative phase imaging in biomedicine. Nat Photon, 2018, 12: 578\u2013589","journal-title":"Nat Photon"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-024-4490-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-024-4490-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-024-4490-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T06:03:31Z","timestamp":1760335411000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-024-4490-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,23]]},"references-count":72,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["4490"],"URL":"https:\/\/doi.org\/10.1007\/s11432-024-4490-3","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,23]]},"assertion":[{"value":"7 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 October 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 January 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"112101"}}