{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T19:05:01Z","timestamp":1784228701268,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62572230"],"award-info":[{"award-number":["62572230"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,19]]},"DOI":"10.1145\/3799902.3811156","type":"proceedings-article","created":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T16:15:27Z","timestamp":1784218527000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["PureSample: Neural Materials Learned by Sampling Microgeometry"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-2424-9529","authenticated-orcid":false,"given":"Zixuan","family":"Li","sequence":"first","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6170-7339","authenticated-orcid":false,"given":"Zixiong","family":"Wang","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4800-832X","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Nankai University, Tianjin, China and Nanjing University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3808-6092","authenticated-orcid":false,"given":"Milo\u0161","family":"Ha\u0161an","sequence":"additional","affiliation":[{"name":"NVIDIA, San Jose, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8943-8364","authenticated-orcid":false,"given":"Beibei","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"e_1_3_3_2_2_1","doi-asserted-by":"crossref","unstructured":"Laurent Belcour. 2018. Efficient Rendering of Layered Materials Using an Atomic Decomposition with Statistical Operators. ACM Trans. Graph. 37 4 Article 73 (July 2018) 15\u00a0pages.","DOI":"10.1145\/3197517.3201289"},{"key":"e_1_3_3_2_3_1","doi-asserted-by":"publisher","unstructured":"Benedikt Bitterli and Eugene d\u2019Eon. 2022. A Position-Free Path Integral for Homogeneous Slabs and Multiple Scattering on Smith Microfacets. Computer Graphics Forum 41 4 (2022) 93\u2013104. arXiv:https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/cgf.1458910.1111\/cgf.14589","DOI":"10.1111\/cgf.14589"},{"key":"e_1_3_3_2_4_1","volume-title":"Radiative Transfer","author":"Chandrasekhar S.","year":"1960","unstructured":"S. Chandrasekhar. 1960. Radiative Transfer. Dover."},{"key":"e_1_3_3_2_5_1","doi-asserted-by":"publisher","unstructured":"R.\u00a0L. Cook and K.\u00a0E. Torrance. 1982. A Reflectance Model for Computer Graphics. ACM Trans. Graph. 1 1 (Jan. 1982) 7\u201324. 10.1145\/357290.357293","DOI":"10.1145\/357290.357293"},{"key":"e_1_3_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618198"},{"key":"e_1_3_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591486"},{"key":"e_1_3_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.15149"},{"key":"e_1_3_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00415"},{"key":"e_1_3_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530732"},{"key":"e_1_3_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591505"},{"key":"e_1_3_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3680528.3687684"},{"key":"e_1_3_3_2_13_1","doi-asserted-by":"publisher","unstructured":"Luis\u00a0E. Gamboa Adrien Gruson and Derek Nowrouzezahrai. 2020. An Efficient Transport Estimator for Complex Layered Materials. Computer Graphics Forum 39 2 (2020) 363\u2013371. 10.1111\/cgf.13936","DOI":"10.1111\/cgf.13936"},{"key":"e_1_3_3_2_14_1","volume-title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems","author":"Geng Zhengyang","year":"2025","unstructured":"Zhengyang Geng, Mingyang Deng, Xingjian Bai, J\u00a0Zico Kolter, and Kaiming He. 2025. Mean Flows for One-step Generative Modeling. In The Thirty-ninth Annual Conference on Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=uWj4s7rMnR"},{"key":"e_1_3_3_2_15_1","doi-asserted-by":"publisher","unstructured":"Jie Guo Zeru Li Xueyan He Beibei Wang Wenbin Li Yanwen Guo and Ling-Qi Yan. 2023. MetaLayer: A Meta-Learned BSDF Model for Layered Materials. ACM Trans. Graph. 42 6 Article 222 (Dec. 2023) 15\u00a0pages. 10.1145\/3618365","DOI":"10.1145\/3618365"},{"key":"e_1_3_3_2_16_1","doi-asserted-by":"crossref","unstructured":"Yu Guo Milo\u0161 Ha\u0161an and Shaung Zhao. 2018. Position-Free Monte Carlo Simulation for Arbitrary Layered BSDFs. ACM Trans. Graph. 37 6 (2018).","DOI":"10.1145\/3272127.3275053"},{"key":"e_1_3_3_2_17_1","doi-asserted-by":"publisher","unstructured":"Eric Heitz Jonathan Dupuy Cyril Crassin and Carsten Dachsbacher. 2015. The SGGX microflake distribution. ACM Trans. Graph. 34 4 Article 48 (July 2015) 11\u00a0pages. 10.1145\/2766988","DOI":"10.1145\/2766988"},{"key":"e_1_3_3_2_18_1","doi-asserted-by":"publisher","unstructured":"Eric Heitz Johannes Hanika Eugene d\u2019Eon and Carsten Dachsbacher. 2016. Multiple-scattering microfacet BSDFs with the Smith model. ACM Trans. Graph. 35 4 Article 58 (July 2016) 14\u00a0pages. 10.1145\/2897824.2925943","DOI":"10.1145\/2897824.2925943"},{"key":"e_1_3_3_2_19_1","doi-asserted-by":"publisher","unstructured":"Bingyang Hu Jie Guo Yanjun Chen Mengtian Li and Yanwen Guo. 2020. DeepBRDF: A Deep Representation for Manipulating Measured BRDF. Computer Graphics Forum 39 2 (2020) 157\u2013166. arXiv:https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/cgf.1392010.1111\/cgf.13920","DOI":"10.1111\/cgf.13920"},{"key":"e_1_3_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2776880.2787670"},{"key":"e_1_3_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1833349.1778790"},{"key":"e_1_3_3_2_22_1","doi-asserted-by":"crossref","unstructured":"Wenzel Jakob Eugene d\u2019Eon Otto Jakob and Steve Marschner. 2014. A Comprehensive Framework for Rendering Layered Materials. ACM Trans. Graph. 33 4 Article 118 (July 2014) 14\u00a0pages.","DOI":"10.1145\/2601097.2601139"},{"key":"e_1_3_3_2_23_1","volume-title":"Mitsuba 3 renderer","author":"Jakob Wenzel","year":"2022","unstructured":"Wenzel Jakob, S\u00e9bastien Speierer, Nicolas Roussel, Merlin Nimier-David, Delio Vicini, Tizian Zeltner, Baptiste Nicolet, Miguel Crespo, Vincent Leroy, and Ziyi Zhang. 2022. Mitsuba 3 renderer. https:\/\/mitsuba-renderer.org."},{"key":"e_1_3_3_2_24_1","doi-asserted-by":"publisher","unstructured":"Alexandr Kuznetsov Milo\u0161 Ha\u0161an Zexiang Xu Ling-Qi Yan Bruce Walter Nima\u00a0Khademi Kalantari Steve Marschner and Ravi Ramamoorthi. 2019. Learning generative models for rendering specular microgeometry. ACM Trans. Graph. 38 6 Article 225 (Nov. 2019) 14\u00a0pages. 10.1145\/3355089.3356525","DOI":"10.1145\/3355089.3356525"},{"key":"e_1_3_3_2_25_1","doi-asserted-by":"publisher","unstructured":"Alexandr Kuznetsov Krishna Mullia Zexiang Xu Milo\u0161 Ha\u0161an and Ravi Ramamoorthi. 2021. NeuMIP: multi-resolution neural materials. ACM Trans. Graph. 40 4 Article 175 (July 2021) 13\u00a0pages. 10.1145\/3450626.3459795","DOI":"10.1145\/3450626.3459795"},{"key":"e_1_3_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530721"},{"key":"e_1_3_3_2_27_1","unstructured":"Yaron Lipman Ricky T.\u00a0Q. Chen Heli Ben-Hamu Maximilian Nickel and Matt Le. 2023. Flow Matching for Generative Modeling. arxiv:https:\/\/arXiv.org\/abs\/2210.02747\u00a0[cs.LG] https:\/\/arxiv.org\/abs\/2210.02747"},{"key":"e_1_3_3_2_28_1","doi-asserted-by":"publisher","unstructured":"Joey Litalien Milo\u0161 Ha\u0161an Fujun Luan Krishna Mullia and Iliyan Georgiev. 2024. Neural Product Importance Sampling via Warp Composition. ACM SIGGRAPH Asia 2024 Conference Proceedings. 10.1145\/3680528.3687566","DOI":"10.1145\/3680528.3687566"},{"key":"e_1_3_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618241"},{"key":"e_1_3_3_2_30_1","doi-asserted-by":"publisher","unstructured":"Simon Lucas Micka\u00ebl Ribardi\u00e8re Romain Pacanowski and Pascal Barla. 2024. A Fully-correlated Anisotropic Micrograin BSDF Model. ACM Trans. Graph. 43 4 Article 111 (July 2024) 14\u00a0pages. 10.1145\/3658224","DOI":"10.1145\/3658224"},{"key":"e_1_3_3_2_31_1","doi-asserted-by":"publisher","unstructured":"Thomas M\u00fcller Brian Mcwilliams Fabrice Rousselle Markus Gross and Jan Nov\u00e1k. 2019. Neural Importance Sampling. ACM Trans. Graph. 38 5 Article 145 (Oct. 2019) 19\u00a0pages. 10.1145\/3341156","DOI":"10.1145\/3341156"},{"key":"e_1_3_3_2_32_1","doi-asserted-by":"publisher","unstructured":"Gilles Rainer Abhijeet Ghosh Wenzel Jakob and Tim Weyrich. 2020. Unified Neural Encoding of BTFs. Computer Graphics Forum (Proceedings of Eurographics) 39 2 (June 2020). 10.1111\/cgf.13921","DOI":"10.1111\/cgf.13921"},{"key":"e_1_3_3_2_33_1","doi-asserted-by":"crossref","unstructured":"Gilles Rainer Wenzel Jakob Abhijeet Ghosh and Tim Weyrich. 2019. Neural BTF Compression and Interpolation. Computer Graphics Forum (Proceedings of Eurographics) 38 2 (March 2019).","DOI":"10.1111\/cgf.13633"},{"key":"e_1_3_3_2_34_1","doi-asserted-by":"publisher","unstructured":"Micka\u00ebl Ribardi\u00e8re Benjamin Bringier Lionel Simonot and Daniel Meneveaux. 2019. Microfacet BSDFs Generated from NDFs and Explicit Microgeometry. ACM Trans. Graph. 38 5 Article 143 (June 2019) 15\u00a0pages. 10.1145\/3338697","DOI":"10.1145\/3338697"},{"key":"e_1_3_3_2_35_1","doi-asserted-by":"publisher","unstructured":"Weiqi Shi Julie Dorsey and Holly Rushmeier. 2022. Learning-Based Inverse Bi-Scale Material Fitting From Tabular BRDFs. IEEE Transactions on Visualization and Computer Graphics 28 4 (2022) 1810\u20131823. 10.1109\/TVCG.2020.3026021","DOI":"10.1109\/TVCG.2020.3026021"},{"key":"e_1_3_3_2_36_1","doi-asserted-by":"publisher","unstructured":"Alejandro Sztrajman Gilles Rainer Tobias Ritschel and Tim Weyrich. 2021. Neural BRDF Representation and Importance Sampling. Computer Graphics Forum 40 6 (Sept. 2021) 332\u2013346. 10.1111\/cgf.14335","DOI":"10.1111\/cgf.14335"},{"key":"e_1_3_3_2_37_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.15234"},{"key":"e_1_3_3_2_38_1","doi-asserted-by":"publisher","unstructured":"T. TG D.\u00a0M. Tran H.\u00a0W. Jensen R. Ramamoorthi and J.\u00a0R. Frisvad. 2024. Neural SSS: Lightweight Object Appearance Representation. Computer Graphics Forum 43 4 (2024) e15158. arXiv:https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/cgf.1515810.1111\/cgf.15158","DOI":"10.1111\/cgf.15158"},{"key":"e_1_3_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383847.2383874"},{"key":"e_1_3_3_2_40_1","doi-asserted-by":"crossref","unstructured":"Beibei Wang Wenhua Jin Jiahui Fan Jian Yang Nicolas Holzschuch and Ling-Qi Yan. 2022a. Position-free Multiple-bounce Computations for Smith Microfacet BSDFs. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022) 41 4 (2022) 134:1\u2013134:14.","DOI":"10.1145\/3528223.3530112"},{"key":"e_1_3_3_2_41_1","doi-asserted-by":"crossref","unstructured":"Beibei Wang Wenhua Jin Milo\u0161 Ha\u0161an and Ling-Qi Yan. 2022b. SpongeCake: A Layered Microflake Surface Appearance Model. ACM Transactions on Graphics 42 1 Article 8 (2022) 16\u00a0pages.","DOI":"10.1145\/3546940"},{"key":"e_1_3_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1321261.1321292"},{"key":"e_1_3_3_2_43_1","unstructured":"Philippe Weier and Laurent Belcour. 2020. Rendering Layered Materials with Anisotropic Interfaces. Journal of Computer Graphics Techniques (JCGT) 9 2 (20 June 2020) 37\u201357. http:\/\/jcgt.org\/published\/0009\/02\/03\/"},{"key":"e_1_3_3_2_44_1","doi-asserted-by":"publisher","unstructured":"Hongzhi Wu Julie Dorsey and Holly Rushmeier. 2011. Physically-based interactive bi-scale material design. ACM Trans. Graph. 30 6 (Dec. 2011) 1\u201310. 10.1145\/2070781.2024179","DOI":"10.1145\/2070781.2024179"},{"key":"e_1_3_3_2_45_1","doi-asserted-by":"publisher","unstructured":"Hongzhi Wu Julie Dorsey and Holly Rushmeier. 2013. Inverse bi-scale material design. ACM Trans. Graph. 32 6 Article 163 (Nov. 2013) 10\u00a0pages. 10.1145\/2508363.2508394","DOI":"10.1145\/2508363.2508394"},{"key":"e_1_3_3_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3721238.3730679"},{"key":"e_1_3_3_2_47_1","doi-asserted-by":"crossref","unstructured":"Mengqi\u00a0(Mandy) Xia Bruce Walter Christophe Hery and Steve Marschner. 2020. Gaussian Product Sampling for Rendering Layered Materials. Computer Graphics Forum 39 1 (2020) 420\u2013435.","DOI":"10.1111\/cgf.13883"},{"key":"e_1_3_3_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306307.3328144"},{"key":"e_1_3_3_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591524"},{"key":"e_1_3_3_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3721238.3730626"},{"key":"e_1_3_3_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3680528.3687578"},{"key":"e_1_3_3_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355088.3365165"},{"key":"e_1_3_3_2_53_1","doi-asserted-by":"crossref","unstructured":"Ling-Qi Yan Milo\u0161 Ha\u0161an Wenzel Jakob Jason Lawrence Steve Marschner and Ravi Ramamoorthi. 2014. Rendering glints on high-resolution normal-mapped specular surfaces. ACM Trans. Graph. 33 4 Article 116 (July 2014) 9\u00a0pages.","DOI":"10.1145\/2601097.2601155"},{"key":"e_1_3_3_2_54_1","doi-asserted-by":"crossref","unstructured":"Tizian Zeltner and Wenzel Jakob. 2018. The Layer Laboratory: A Calculus for Additive and Subtractive Composition of Anisotropic Surface Reflectance. Transactions on Graphics (Proceedings of SIGGRAPH) 37 4 (July 2018) 74:1\u201374:14.","DOI":"10.1145\/3197517.3201321"},{"key":"e_1_3_3_2_55_1","doi-asserted-by":"publisher","unstructured":"Tizian Zeltner Fabrice Rousselle Andrea Weidlich Petrik Clarberg Jan Nov\u00e1k Benedikt Bitterli Alex Evans Tom\u00e1\u0161 Davidovi\u010d Simon Kallweit and Aaron Lefohn. 2024. Real-time Neural Appearance Models. ACM Trans. Graph. 43 3 Article 33 (June 2024) 17\u00a0pages. 10.1145\/3659577","DOI":"10.1145\/3659577"},{"key":"e_1_3_3_2_56_1","doi-asserted-by":"publisher","unstructured":"Chuankun Zheng Ruzhang Zheng Rui Wang Shuang Zhao and Hujun Bao. 2021. A Compact Representation of Measured BRDFs Using Neural Processes. ACM Trans. Graph. 41 2 Article 14 (Nov. 2021) 15\u00a0pages. 10.1145\/3490385","DOI":"10.1145\/3490385"}],"event":{"name":"SIGGRAPH Conference Papers '26: Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","location":"Los Angeles CA USA","acronym":"SIGGRAPH Conference Papers '26","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers"],"original-title":[],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T18:14:24Z","timestamp":1784225664000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3799902.3811156"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":55,"alternative-id":["10.1145\/3799902.3811156","10.1145\/3799902"],"URL":"https:\/\/doi.org\/10.1145\/3799902.3811156","relation":{},"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"2026-07-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}