{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T04:27:53Z","timestamp":1765254473904,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12,15]]},"DOI":"10.1145\/3757377.3763880","type":"proceedings-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T16:30:41Z","timestamp":1765211441000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Compact shape representation utilizing local surface similarities"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3802-1774","authenticated-orcid":false,"given":"Albert","family":"Garifullin","sequence":"first","affiliation":[{"name":"Computer Graphics and Computational Optics, Keldysh Institute of Applied Mathematics, Moscow, Russian Federation and Computational Mathematics and Cybernetics (CMC), Graphics and Media Lab, Moscow State University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2677-881X","authenticated-orcid":false,"given":"Nikolay","family":"Mayorov","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Neural and Inverse Rendering Group, Moscow State University, Moscow, Russian Federation and Computational Mathematics and Cybernetics (CMC), Graphics and Media Lab, Moscow State University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6819-4184","authenticated-orcid":false,"given":"Alexey","family":"Budak","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Neural and Inverse Rendering Group, Moscow State University, Moscow, Russian Federation and Computational Mathematics and Cybernetics (CMC), Graphics and Media Lab, Moscow State University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5646-023X","authenticated-orcid":false,"given":"Sergei","family":"Nikitin","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Neural and Inverse Rendering Group, Moscow State University, Moscow, Russian Federation and Computational Mathematics and Cybernetics (CMC), Graphics and Media Lab, Moscow State University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8043-9302","authenticated-orcid":false,"given":"Egor","family":"Prikhodko","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Neural and Inverse Rendering Group, Moscow State University, Moscow, Russian Federation and Computational Mathematics and Cybernetics (CMC), Graphics and Media Lab, Moscow State University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5044-9963","authenticated-orcid":false,"given":"Roman","family":"Rodionov","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Neural and Inverse Rendering Group, Moscow State University, Moscow, Russian Federation and Computational Mathematics and Cybernetics (CMC), Graphics and Media Lab, Moscow State University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8101-2415","authenticated-orcid":false,"given":"Ivan","family":"Korotaev","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Neural and Inverse Rendering Group, Moscow State University, Moscow, Russian Federation and Computational Mathematics and Cybernetics (CMC), Graphics and Media Lab, Moscow State University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8829-9884","authenticated-orcid":false,"given":"Vladimir","family":"Frolov","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Neural and Inverse Rendering Group, Moscow State University, Moscow, Russian Federation and Computer Graphics and Computational Optics, Keldysh Institute of Applied Mathematics, Moscow, Russian Federation"}]}],"member":"320","published-online":{"date-parts":[[2025,12,14]]},"reference":[{"key":"e_1_3_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1572769.1572792"},{"key":"e_1_3_3_2_3_1","doi-asserted-by":"publisher","unstructured":"Steve Bako Pradeep Sen and Anton Kaplanyan. 2023. Deep Appearance Prefiltering. 42 2 Article 23 (jan 2023) 23\u00a0pages. 10.1145\/3570327","DOI":"10.1145\/3570327"},{"key":"e_1_3_3_2_4_1","doi-asserted-by":"crossref","unstructured":"Joshua Barczak Carsten Benthin and David McAllister. 2024. DGF: A Dense Hardware-Friendly Geometry Format for Lossily Compressing Meshlets with Arbitrary Topologies. Proceedings of the ACM on Computer Graphics and Interactive Techniques 7.","DOI":"10.1145\/3675383"},{"key":"e_1_3_3_2_5_1","first-page":"51","volume-title":"TPCG","author":"Belmonte \u00d3scar","year":"2010","unstructured":"\u00d3scar Belmonte, Sergio Sancho, and Jos\u00e9 Ribelles. 2010. Multiresolution Modeling Using Fractal Image Compression Techniques.. In TPCG. 51\u201358."},{"key":"e_1_3_3_2_6_1","doi-asserted-by":"crossref","unstructured":"Henry\u00a0A. Boateng and Kyle Bradach. 2023. Triquintic interpolation in three dimensions. J. Comput. Appl. Math. 430 C (Oct. 2023) 19\u00a0pages.","DOI":"10.1016\/j.cam.2023.115254"},{"key":"e_1_3_3_2_7_1","unstructured":"Nathan\u00a0A. Carr Jared Hoberock Keenan Crane and John\u00a0C. Hart. 2006. Fast GPU ray tracing of dynamic meshes using geometry images(GI \u201906). Canadian Information Processing Society CAN 203\u2013209."},{"key":"e_1_3_3_2_8_1","doi-asserted-by":"crossref","unstructured":"Zhen Chen Zherong Pan Kui Wu Etienne Vouga and Xifeng Gao. 2023. Robust Low-Poly Meshing for General 3D Models. ACM Trans. Graph. 42 4 Article 119 (July 2023) 20\u00a0pages.","DOI":"10.1145\/3592396"},{"key":"e_1_3_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1507149.1507152"},{"key":"e_1_3_3_2_10_1","doi-asserted-by":"crossref","unstructured":"Daniel Defays. 1977. An efficient algorithm for a complete link method. The computer journal 20 4 (1977) 364\u2013366.","DOI":"10.1093\/comjnl\/20.4.364"},{"key":"e_1_3_3_2_11_1","doi-asserted-by":"crossref","unstructured":"Stephen Demko Laurie Hodges and Bruce Naylor. 1985. Construction of fractal objects with iterated function systems. 19 3 (July 1985) 271\u2013278.","DOI":"10.1145\/325165.325245"},{"key":"e_1_3_3_2_12_1","doi-asserted-by":"crossref","unstructured":"Miles Detrixhe Fr\u00e9d\u00e9ric Gibou and Chohong Min. 2013. A parallel fast sweeping method for the Eikonal equation. J. Comput. Phys. 237 (2013) 46\u201355.","DOI":"10.1016\/j.jcp.2012.11.042"},{"key":"e_1_3_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3641519.3657399"},{"key":"e_1_3_3_2_14_1","doi-asserted-by":"crossref","unstructured":"Keinosuke Fukunaga and Larry Hostetler. 1975. The estimation of the gradient of a density function with applications in pattern recognition. IEEE Transactions on information theory 21 1 (1975) 32\u201340.","DOI":"10.1109\/TIT.1975.1055330"},{"key":"e_1_3_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/258734.258849"},{"key":"e_1_3_3_2_16_1","doi-asserted-by":"crossref","unstructured":"Xianfeng Gu Steven\u00a0J. Gortler and Hugues Hoppe. 2002. Geometry images. 21 3 (jul 2002) 355\u2013361.","DOI":"10.1145\/566654.566589"},{"key":"e_1_3_3_2_17_1","doi-asserted-by":"crossref","unstructured":"Jacob Haydel Cem Yuksel and Larry Seiler. 2023. Locally-Adaptive Level-of-Detail for Hardware-Accelerated Ray Tracing. ACM Trans. Graph. 42 6 (2023) 1\u201315.","DOI":"10.1145\/3618359"},{"key":"e_1_3_3_2_18_1","unstructured":"Hansson-S\u00f6derlund Herman Evans Alex and Akenine-M\u00f6ller Tomas. 2022. Ray Tracing of Signed Distance Function Grids. Journal of Computer Graphics Techniques 11 3 (2022) 94\u2013113."},{"key":"e_1_3_3_2_19_1","series-title":"(HPG \u201916)","first-page":"109","volume-title":"Proceedings of High Performance Graphics","author":"Hoetzlein Rama\u00a0Karl","year":"2016","unstructured":"Rama\u00a0Karl Hoetzlein. 2016. GVDB: raytracing sparse voxel database structures on the GPU. In Proceedings of High Performance Graphics (Dublin, Ireland) (HPG \u201916). Eurographics Association, Goslar, DEU, 109\u2013117."},{"key":"e_1_3_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237216"},{"key":"e_1_3_3_2_21_1","unstructured":"Hanwen Jiang Haitao Yang Georgios Pavlakos and Qixing Huang. 2024. CoFie: Learning Compact Neural Surface Representations with Coordinate Fields. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.03417."},{"key":"e_1_3_3_2_22_1","doi-asserted-by":"publisher","unstructured":"Viktor K\u00e4mpe Erik Sintorn and Ulf Assarsson. 2013. High resolution sparse voxel DAGs. 32 4 Article 101 (July 2013) 13\u00a0pages. 10.1145\/2461912.2462024","DOI":"10.1145\/2461912.2462024"},{"key":"e_1_3_3_2_23_1","unstructured":"Bastian Kuth Max Oberberger Felix Kawala Sander Reitter Sebastian Michel Matth\u00e4us Chajdas and Quirin Meyer. 2024. Towards Practical Meshlet Compression. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.06359 (2024)."},{"key":"e_1_3_3_2_24_1","doi-asserted-by":"crossref","unstructured":"Samuli Laine and Tero Karras. 2010. Efficient sparse voxel octrees(I3D \u201910). Association for Computing Machinery New York NY USA 55\u201363.","DOI":"10.1145\/1730804.1730814"},{"key":"e_1_3_3_2_25_1","doi-asserted-by":"crossref","unstructured":"Ting Liu Andrew\u00a0W Moore Alexander Gray and Claire Cardie. 2006. New algorithms for efficient high-dimensional nonparametric classification. Journal of machine learning research 7 6 (2006).","DOI":"10.7551\/mitpress\/4908.003.0008"},{"key":"e_1_3_3_2_26_1","unstructured":"Brandon Lloyd Oliver Klehm and Martin Stich. 2020. Implementing stochastic levels of detail with Microsoft DirectX Raytracing. NVIDIA Developer Blog (2020)."},{"key":"e_1_3_3_2_27_1","doi-asserted-by":"crossref","unstructured":"Guillaume Loubet and Fabrice Neyret. 2017. Hybrid mesh-volume LoDs for all-scale pre-filtering of complex 3D assets. Comput. Graph. Forum 36 2 (may 2017) 431\u2013442.","DOI":"10.1111\/cgf.13138"},{"key":"e_1_3_3_2_28_1","doi-asserted-by":"crossref","unstructured":"Andrea Maggiordomo Henry Moreton and Marco Tarini. 2023. Micro-Mesh Construction. ACM Trans. Graph. 42 4 Article 121 (jul 2023) 18\u00a0pages.","DOI":"10.1145\/3592440"},{"key":"e_1_3_3_2_29_1","doi-asserted-by":"crossref","unstructured":"Adrien Maglo Guillaume Lavou\u00e9 Florent Dupont and C\u00e9line Hudelot. 2015. 3D Mesh Compression: Survey Comparisons and Emerging Trends. ACM Comput. Surv. 47 3 Article 44 (Feb. 2015) 41\u00a0pages.","DOI":"10.1145\/2693443"},{"key":"e_1_3_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.15002"},{"key":"e_1_3_3_2_31_1","doi-asserted-by":"publisher","unstructured":"Thomas M\u00fcller Alex Evans Christoph Schied and Alexander Keller. 2022. Instant neural graphics primitives with a multiresolution hash encoding. 41 4 Article 102 (jul 2022) 15\u00a0pages. 10.1145\/3528223.3530127","DOI":"10.1145\/3528223.3530127"},{"key":"e_1_3_3_2_32_1","doi-asserted-by":"crossref","unstructured":"Ken Museth. 2013. VDB: High-resolution sparse volumes with dynamic topology. ACM Trans. Graph. 32 3 Article 27 (jul 2013) 22\u00a0pages.","DOI":"10.1145\/2487228.2487235"},{"key":"e_1_3_3_2_33_1","doi-asserted-by":"crossref","unstructured":"Matthias Nie\u00dfner Michael Zollh\u00f6fer Shahram Izadi and Marc Stamminger. 2013. Real-time 3D reconstruction at scale using voxel hashing. ACM Trans. Graph. 32 6 Article 169 (nov 2013) 11\u00a0pages.","DOI":"10.1145\/2508363.2508374"},{"key":"e_1_3_3_2_34_1","doi-asserted-by":"publisher","DOI":"10.24132\/CSRN.3201.26"},{"key":"e_1_3_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"e_1_3_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1399504.1360642"},{"key":"e_1_3_3_2_37_1","doi-asserted-by":"crossref","unstructured":"Gabriel Peyr\u00e9 and St\u00e9phane Mallat. 2005. Surface compression with geometric bandelets. 24 3 (jul 2005) 601\u2013608.","DOI":"10.1145\/1073204.1073236"},{"key":"e_1_3_3_2_38_1","doi-asserted-by":"crossref","unstructured":"Eduard Pujol and Antonio Chica. 2023. Adaptive approximation of signed distance fields through piecewise continuous interpolation. Comput. Graph. 114 C (aug 2023) 337\u2013346.","DOI":"10.1016\/j.cag.2023.06.020"},{"key":"e_1_3_3_2_39_1","doi-asserted-by":"crossref","unstructured":"Eduard Pujol and Antonio Chica. 2024. Rendering piecewise approximations of SDFs through analytic intersections. Comput. Graph. 122 C (Nov. 2024) 9\u00a0pages.","DOI":"10.1016\/j.cag.2024.103981"},{"key":"e_1_3_3_2_40_1","volume-title":"WSCG\u20192000","author":"Revelles Jorge","year":"2000","unstructured":"Jorge Revelles, Carlos Ure\u00f1a, and Miguel Lastra. 2000. An Efficient Parametric Algorithm for Octree Traversal. In WSCG\u20192000."},{"key":"e_1_3_3_2_41_1","unstructured":"Vincent Sitzmann Julien N.\u00a0P. Martel Alexander\u00a0W. Bergman David\u00a0B. Lindell and Gordon Wetzstein. 2020. Implicit neural representations with periodic activation functions(NIPS \u201920). Curran Associates Inc. Red Hook NY USA Article 626 12\u00a0pages."},{"key":"e_1_3_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01120"},{"key":"e_1_3_3_2_43_1","unstructured":"Alberto\u00a0Jaspe Villanueva Fabio Marton and Enrico Gobbetti. 2017. Symmetry-aware Sparse Voxel DAGs (SSVDAGs) for compression-domain tracing of high-resolution geometric scenes. Journal of Computer Graphics Techniques Vol 6 2 (2017)."},{"key":"e_1_3_3_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3641519.3657464"},{"key":"e_1_3_3_2_45_1","doi-asserted-by":"publisher","unstructured":"Philippe Weier Tobias Zirr Anton Kaplanyan Ling-Qi Yan and Philipp Slusallek. 2023. Neural Prefiltering for Correlation-Aware Levels of Detail. ACM Trans. Graph. 42 4 Article 78 (jul 2023) 16\u00a0pages. 10.1145\/3592443","DOI":"10.1145\/3592443"},{"key":"e_1_3_3_2_46_1","unstructured":"Yang Zhou Tao Huang Ravi Ramamoorthi Pradeep Sen and Ling-Qi Yan. 2024. Appearance-Preserving Scene Aggregation for Level-of-Detail Rendering. (2024)."}],"event":{"name":"SA Conference Papers '25: SIGGRAPH Asia 2025 Conference Papers","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Hong Kong Hong Kong","acronym":"SA Conference Papers '25"},"container-title":["Proceedings of the SIGGRAPH Asia 2025 Conference Papers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3757377.3763880","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T03:26:10Z","timestamp":1765250770000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3757377.3763880"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,14]]},"references-count":45,"alternative-id":["10.1145\/3757377.3763880","10.1145\/3757377"],"URL":"https:\/\/doi.org\/10.1145\/3757377.3763880","relation":{},"subject":[],"published":{"date-parts":[[2025,12,14]]},"assertion":[{"value":"2025-12-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}