{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T22:11:48Z","timestamp":1776291108348,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key Research and Development Program of China"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,3]]},"DOI":"10.1145\/3680528.3687685","type":"proceedings-article","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T08:14:37Z","timestamp":1733213677000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Dynamic Neural Radiosity with Multi-grid Decomposition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9331-0311","authenticated-orcid":false,"given":"Rui","family":"Su","sequence":"first","affiliation":[{"name":"School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7247-1301","authenticated-orcid":false,"given":"Honghao","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3556-4402","authenticated-orcid":false,"given":"Jierui","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Future Technology, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7899-3603","authenticated-orcid":false,"given":"Haojie","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3406-7751","authenticated-orcid":false,"given":"Yisong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7819-0076","authenticated-orcid":false,"given":"Guoping","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8901-2184","authenticated-orcid":false,"given":"Sheng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Peking University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2024,12,3]]},"reference":[{"key":"e_1_3_3_2_2_1","unstructured":"Attila\u00a0T. \u00c1fra. 2023. Intel\u00ae Open Image Denoise. https:\/\/www.openimagedenoise.org."},{"key":"e_1_3_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14449"},{"key":"e_1_3_3_2_4_1","unstructured":"Benedikt Bitterli. 2016. Rendering resources. https:\/\/benedikt-bitterli.me\/resources\/."},{"key":"e_1_3_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00021"},{"key":"e_1_3_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/54852.378487"},{"key":"e_1_3_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.15014"},{"key":"e_1_3_3_2_8_1","volume-title":"glsl-fxaa","author":"DesLauriers Matt","year":"2021","unstructured":"Matt DesLauriers. 2021. glsl-fxaa. https:\/\/github.com\/mattdesl\/glsl-fxaa"},{"key":"e_1_3_3_2_9_1","doi-asserted-by":"crossref","unstructured":"Stavros Diolatzis Julien Philip and George Drettakis. 2022. Active exploration for neural global illumination of variable scenes. ACM Transactions on Graphics (TOG) 41 5 (2022) 1\u201318.","DOI":"10.1145\/3522735"},{"key":"e_1_3_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507"},{"key":"e_1_3_3_2_11_1","doi-asserted-by":"crossref","unstructured":"SM\u00a0Ali Eslami Danilo Jimenez\u00a0Rezende Frederic Besse Fabio Viola Ari\u00a0S Morcos Marta Garnelo Avraham Ruderman Andrei\u00a0A Rusu Ivo Danihelka Karol Gregor et\u00a0al. 2018. Neural scene representation and rendering. Science 360 6394 (2018) 1204\u20131210.","DOI":"10.1126\/science.aar6170"},{"key":"e_1_3_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01201"},{"key":"e_1_3_3_2_13_1","doi-asserted-by":"crossref","unstructured":"Cindy\u00a0M Goral Kenneth\u00a0E Torrance Donald\u00a0P Greenberg and Bennett Battaile. 1984. Modeling the interaction of light between diffuse surfaces. ACM SIGGRAPH computer graphics 18 3 (1984) 213\u2013222.","DOI":"10.1145\/964965.808601"},{"key":"e_1_3_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/166117.166146"},{"key":"e_1_3_3_2_15_1","doi-asserted-by":"crossref","unstructured":"Jonathan Granskog Fabrice Rousselle Marios Papas and Jan Nov\u00e1k. 2020. Compositional neural scene representations for shading inference. ACM Transactions on Graphics (TOG) 39 4 (2020) 135\u20131.","DOI":"10.1145\/3386569.3392475"},{"key":"e_1_3_3_2_16_1","doi-asserted-by":"crossref","unstructured":"Jonathan Granskog Till\u00a0N Schnabel Fabrice Rousselle and Jan Nov\u00e1k. 2021. Neural scene graph rendering. ACM Transactions on Graphics (TOG) 40 4 (2021) 1\u201311.","DOI":"10.1145\/3476576.3476749"},{"key":"e_1_3_3_2_17_1","doi-asserted-by":"crossref","unstructured":"Saeed Hadadan Shuhong Chen and Matthias Zwicker. 2021. Neural radiosity. ACM Transactions on Graphics (TOG) 40 6 (2021) 1\u201311.","DOI":"10.1145\/3478513.3480569"},{"key":"e_1_3_3_2_18_1","doi-asserted-by":"crossref","unstructured":"David\u00a0S Immel Michael\u00a0F Cohen and Donald\u00a0P Greenberg. 1986. A radiosity method for non-diffuse environments. Acm Siggraph Computer Graphics 20 4 (1986) 133\u2013142.","DOI":"10.1145\/15886.15901"},{"key":"e_1_3_3_2_19_1","doi-asserted-by":"crossref","unstructured":"Mustafa I\u015f\u0131k Krishna Mullia Matthew Fisher Jonathan Eisenmann and Micha\u00ebl Gharbi. 2021. Interactive Monte Carlo denoising using affinity of neural features. ACM Transactions on Graphics (TOG) 40 4 (2021) 1\u201313.","DOI":"10.1145\/3450626.3459793"},{"key":"e_1_3_3_2_20_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_21_1","doi-asserted-by":"publisher","unstructured":"James\u00a0T. Kajiya. 1986. The Rendering Equation. SIGGRAPH Comput. Graph. 20 4 (aug 1986) 143\u2013150. 10.1145\/15886.15902https:\/\/dl.acm.org\/doi\/10.1145\/15886.15902","DOI":"10.1145\/15886.15902"},{"key":"e_1_3_3_2_22_1","doi-asserted-by":"crossref","unstructured":"Simon Kallweit Thomas M\u00fcller Brian McWilliams Markus Gross and Jan Nov\u00e1k. 2017. Deep scattering: Rendering atmospheric clouds with radiance-predicting neural networks. ACM Transactions on Graphics (TOG) 36 6 (2017) 1\u201311.","DOI":"10.1145\/3130800.3130880"},{"key":"e_1_3_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1399504.1360636"},{"key":"e_1_3_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00544"},{"key":"e_1_3_3_2_25_1","doi-asserted-by":"publisher","unstructured":"Zehui Lin Sheng Li Xinlu Zeng Congyi Zhang Jinzhu Jia Guoping Wang and Dinesh Manocha. 2020. CPPM: chi-squared progressive photon mapping. ACM Trans. Graph. 39 6 Article 240 (nov 2020) 12\u00a0pages. 10.1145\/3414685.3417822https:\/\/dl.acm.org\/doi\/10.1145\/3414685.3417822","DOI":"10.1145\/3414685.3417822"},{"key":"e_1_3_3_2_26_1","doi-asserted-by":"crossref","unstructured":"Dani Lischinski Filippo Tampieri and Donald\u00a0P Greenberg. 1992. A discontinuity meshing algorithm for accurate radiosity. IEEE CG&A 12 4 (1992) 10\u20131109.","DOI":"10.1109\/38.163622"},{"key":"e_1_3_3_2_27_1","doi-asserted-by":"crossref","unstructured":"Ben Mildenhall Pratul\u00a0P Srinivasan Matthew Tancik Jonathan\u00a0T Barron Ravi Ramamoorthi and Ren Ng. 2021. Nerf: Representing scenes as neural radiance fields for view synthesis. Commun. ACM 65 1 (2021) 99\u2013106.","DOI":"10.1145\/3503250"},{"key":"e_1_3_3_2_28_1","doi-asserted-by":"crossref","unstructured":"Thomas M\u00fcller Alex Evans Christoph Schied and Alexander Keller. 2022. Instant neural graphics primitives with a multiresolution hash encoding. ACM Transactions on Graphics (ToG) 41 4 (2022) 1\u201315.","DOI":"10.1145\/3528223.3530127"},{"key":"e_1_3_3_2_29_1","doi-asserted-by":"crossref","unstructured":"Thomas M\u00fcller Brian McWilliams Fabrice Rousselle Markus Gross and Jan Nov\u00e1k. 2019. Neural importance sampling. ACM Transactions on Graphics (ToG) 38 5 (2019) 1\u201319.","DOI":"10.1145\/3341156"},{"key":"e_1_3_3_2_30_1","unstructured":"Thomas M\u00fcller Fabrice Rousselle Jan Nov\u00e1k and Alexander Keller. 2021. Real-time neural radiance caching for path tracing. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2106.12372 (2021)."},{"key":"e_1_3_3_2_31_1","volume-title":"tiny-cuda-nn","author":"M\u00fcller Thomas","year":"2021","unstructured":"Thomas M\u00fcller. 2021. tiny-cuda-nn. https:\/\/github.com\/NVlabs\/tiny-cuda-nn"},{"key":"e_1_3_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13225"},{"key":"e_1_3_3_2_33_1","first-page":"8024","volume-title":"Advances in Neural Information Processing Systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d\u2019Alch\u00e9 Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.). Curran Associates, Inc., 8024\u20138035."},{"key":"e_1_3_3_2_34_1","doi-asserted-by":"crossref","unstructured":"Peiran Ren Jiaping Wang Minmin Gong Stephen Lin Xin Tong and Baining Guo. 2013. Global illumination with radiance regression functions. ACM Trans. Graph. 32 4 (2013) 130\u20131.","DOI":"10.1145\/2461912.2462009"},{"key":"e_1_3_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01596"},{"key":"e_1_3_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/561383"},{"key":"e_1_3_3_2_37_1","doi-asserted-by":"publisher","unstructured":"Fujia Su Bingxuan Li Qingyang Yin Yanchen Zhang and Sheng Li. 2024. Proxy Tracing: Unbiased Reciprocal Estimation for Optimized Sampling in BDPT. ACM Trans. Graph. 43 4 Article 97 (jul 2024) 21\u00a0pages. 10.1145\/3658216https:\/\/dl.acm.org\/doi\/10.1145\/3658216","DOI":"10.1145\/3658216"},{"key":"e_1_3_3_2_38_1","unstructured":"Matthew Tancik Pratul Srinivasan Ben Mildenhall Sara Fridovich-Keil Nithin Raghavan Utkarsh Singhal Ravi Ramamoorthi Jonathan Barron and Ren Ng. 2020. Fourier features let networks learn high frequency functions in low dimensional domains. Advances in Neural Information Processing Systems 33 (2020) 7537\u20137547."},{"key":"e_1_3_3_2_39_1","doi-asserted-by":"crossref","unstructured":"Dor Verbin Peter Hedman Ben Mildenhall Todd Zickler Jonathan\u00a0T. Barron and Pratul\u00a0P. Srinivasan. 2022. Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. CVPR (2022).","DOI":"10.1109\/CVPR52688.2022.00541"},{"key":"e_1_3_3_2_40_1","doi-asserted-by":"crossref","unstructured":"Thijs Vogels Fabrice Rousselle Brian McWilliams Gerhard R\u00f6thlin Alex Harvill David Adler Mark Meyer and Jan Nov\u00e1k. 2018. Denoising with kernel prediction and asymmetric loss functions. ACM Transactions on Graphics (TOG) 37 4 (2018) 1\u201315.","DOI":"10.1145\/3197517.3201388"},{"key":"e_1_3_3_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618224"},{"key":"e_1_3_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/166117.166145"},{"key":"e_1_3_3_2_43_1","doi-asserted-by":"publisher","unstructured":"Chuankun Zheng Yuchi Huo Shaohua Mo Zhihua Zhong Zhizhen Wu Wei Hua Rui Wang and Hujun Bao. 2023. NeLT: Object-Oriented Neural Light Transfer. ACM Trans. Graph. 42 5 Article 163 (aug 2023) 16\u00a0pages. 10.1145\/3596491https:\/\/dl.acm.org\/doi\/10.1145\/3596491","DOI":"10.1145\/3596491"},{"key":"e_1_3_3_2_44_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13628"},{"key":"e_1_3_3_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618209"},{"key":"e_1_3_3_2_46_1","doi-asserted-by":"crossref","unstructured":"Junqiu Zhu Yaoyi Bai Zilin Xu Steve Bako Edgar Vel\u00e1zquez-Armend\u00e1riz Lu Wang Pradeep Sen Milos Hasan and Ling-Qi Yan. 2021. Neural complex luminaires: representation and rendering. ACM Trans. Graph. 40 4 (2021) 57\u20131.","DOI":"10.1145\/3450626.3459798"}],"event":{"name":"SA '24: SIGGRAPH Asia 2024 Conference Papers","location":"Tokyo Japan","acronym":"SA '24","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["SIGGRAPH Asia 2024 Conference Papers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3680528.3687685","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3680528.3687685","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:20Z","timestamp":1750295900000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3680528.3687685"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":45,"alternative-id":["10.1145\/3680528.3687685","10.1145\/3680528"],"URL":"https:\/\/doi.org\/10.1145\/3680528.3687685","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]},"assertion":[{"value":"2024-12-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}