{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:48:26Z","timestamp":1774021706157,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,10]]},"DOI":"10.1145\/3721238.3730714","type":"proceedings-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T08:40:47Z","timestamp":1753260047000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["James-Stein Gradient Combiner for Inverse Monte Carlo Rendering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7403-1171","authenticated-orcid":false,"given":"Jeongmin","family":"Gu","sequence":"first","affiliation":[{"name":"Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3142-0115","authenticated-orcid":false,"given":"Bochang","family":"Moon","sequence":"additional","affiliation":[{"name":"Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"}]}],"member":"320","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"e_1_3_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00255"},{"key":"e_1_3_3_2_3_1","doi-asserted-by":"crossref","unstructured":"Jonghee Back Binh-Son Hua Toshiya Hachisuka and Bochang Moon. 2020. Deep combiner for independent and correlated pixel estimates. ACM Trans. Graph. 39 6 Article 242 (Nov. 2020) 12\u00a0pages.","DOI":"10.1145\/3414685.3417847"},{"key":"e_1_3_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3610548.3618244"},{"key":"e_1_3_3_2_5_1","doi-asserted-by":"crossref","unstructured":"Sai\u00a0Praveen Bangaru Tzu-Mao Li and Fr\u00e9do Durand. 2020. Unbiased Warped-Area Sampling for Differentiable Rendering. ACM Trans. Graph. 39 6 Article 245 (Nov. 2020) 18\u00a0pages.","DOI":"10.1145\/3414685.3417833"},{"key":"e_1_3_3_2_6_1","doi-asserted-by":"crossref","unstructured":"Yash Belhe Bing Xu Sai\u00a0Praveen Bangaru Ravi Ramamoorthi and Tzu-Mao Li. 2024. Importance Sampling BRDF Derivatives. ACM Trans. Graph. 43 3 Article 25 (April 2024) 21\u00a0pages.","DOI":"10.1145\/3648611"},{"key":"e_1_3_3_2_7_1","doi-asserted-by":"crossref","unstructured":"Benedikt Bitterli Fabrice Rousselle Bochang Moon Jos\u00e9\u00a0A Iglesias-Guiti\u00e1n David Adler Kenny Mitchell Wojciech Jarosz and Jan Nov\u00e1k. 2016. Nonlinearly weighted first-order regression for denoising Monte Carlo renderings. Computer Graphics Forum 35 4 (2016) 107\u2013117.","DOI":"10.1111\/cgf.12954"},{"key":"e_1_3_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591512"},{"key":"e_1_3_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3680528.3687606"},{"key":"e_1_3_3_2_10_1","doi-asserted-by":"crossref","unstructured":"Zhimin Fan Pengcheng Shi Mufan Guo Ruoyu Fu Yanwen Guo and Jie Guo. 2024. Conditional Mixture Path Guiding for Differentiable Rendering. ACM Trans. Graph. 43 4 Article 48 (July 2024) 11\u00a0pages.","DOI":"10.1145\/3658133"},{"key":"e_1_3_3_2_11_1","doi-asserted-by":"crossref","unstructured":"Arthur Firmino Jeppe\u00a0Revall Frisvad and Henrik\u00a0Wann Jensen. 2022. Progressive Denoising of Monte Carlo Rendered Images. Computer Graphics Forum 41 2 (2022) 1\u201311.","DOI":"10.1111\/cgf.14454"},{"key":"e_1_3_3_2_12_1","doi-asserted-by":"crossref","unstructured":"Michael Fischer and Tobias Ritschel. 2024. ZeroGrads: Learning Local Surrogates for Non-Differentiable Graphics. ACM Trans. Graph. 43 4 Article 49 (July 2024) 15\u00a0pages.","DOI":"10.1145\/3658173"},{"key":"e_1_3_3_2_13_1","doi-asserted-by":"crossref","unstructured":"Edwin\u00a0J. Green and William\u00a0E. Strawderman. 1991. A James-Stein Type Estimator for Combining Unbiased and Possibly Biased Estimators. J. Amer. Statist. Assoc. 86 416 (1991) 1001\u20131006.","DOI":"10.1080\/01621459.1991.10475144"},{"key":"e_1_3_3_2_14_1","doi-asserted-by":"crossref","unstructured":"Jeongmin Gu Jonghee Back Sung-Eui Yoon and Bochang Moon. 2024. Target-Aware Image Denoising for Inverse Monte Carlo Rendering. ACM Trans. Graph. 43 4 Article 124 (July 2024) 11\u00a0pages.","DOI":"10.1145\/3658182"},{"key":"e_1_3_3_2_15_1","doi-asserted-by":"crossref","unstructured":"Jeongmin Gu Jose\u00a0A. Iglesias-Guitian and Bochang Moon. 2022. Neural James-Stein Combiner for Unbiased and Biased Renderings. ACM Trans. Graph. 41 6 Article 262 (Nov. 2022) 14\u00a0pages.","DOI":"10.1145\/3550454.3555496"},{"key":"e_1_3_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591553"},{"key":"e_1_3_3_2_17_1","doi-asserted-by":"crossref","unstructured":"Jon Hasselgren Nikolai Hofmann and Jacob Munkberg. 2022. Shape light and material decomposition from images using Monte Carlo rendering and denoising. Advances in Neural Information Processing Systems 35 (2022) 22856\u201322869.","DOI":"10.52202\/068431-1661"},{"key":"e_1_3_3_2_18_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_19_1","first-page":"361","volume-title":"Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Contributions to the Theory of Statistics","author":"James W.","year":"1961","unstructured":"W. James and Charles Stein. 1961. Estimation with Quadratic Loss. In Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Contributions to the Theory of Statistics. University of California Press, 361\u2013379."},{"key":"e_1_3_3_2_20_1","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1412.6980 (2014)."},{"key":"e_1_3_3_2_21_1","doi-asserted-by":"crossref","unstructured":"Tzu-Mao Li Miika Aittala Fr\u00e9do Durand and Jaakko Lehtinen. 2018. Differentiable Monte Carlo Ray Tracing through Edge Sampling. ACM Trans. Graph. 37 6 Article 222 (Dec. 2018) 11\u00a0pages.","DOI":"10.1145\/3272127.3275109"},{"key":"e_1_3_3_2_22_1","doi-asserted-by":"crossref","unstructured":"Tzu-Mao Li Yu-Ting Wu and Yung-Yu Chuang. 2012. SURE-based optimization for adaptive sampling and reconstruction. ACM Trans. Graph. 31 6 Article 194 (Nov. 2012) 9\u00a0pages.","DOI":"10.1145\/2366145.2366213"},{"key":"e_1_3_3_2_23_1","doi-asserted-by":"crossref","unstructured":"Guillaume Loubet Nicolas Holzschuch and Wenzel Jakob. 2019. Reparameterizing discontinuous integrands for differentiable rendering. ACM Trans. Graph. 38 6 Article 228 (Nov. 2019) 14\u00a0pages.","DOI":"10.1145\/3355089.3356510"},{"key":"e_1_3_3_2_24_1","doi-asserted-by":"crossref","unstructured":"Bochang Moon Nathan Carr and Sung-Eui Yoon. 2014. Adaptive Rendering Based on Weighted Local Regression. ACM Trans. Graph. 33 5 Article 170 (Sept. 2014) 14\u00a0pages.","DOI":"10.1145\/2641762"},{"key":"e_1_3_3_2_25_1","doi-asserted-by":"crossref","unstructured":"Baptiste Nicolet Alec Jacobson and Wenzel Jakob. 2021. Large steps in inverse rendering of geometry. ACM Trans. Graph. 40 6 Article 248 (Dec. 2021) 13\u00a0pages.","DOI":"10.1145\/3478513.3480501"},{"key":"e_1_3_3_2_26_1","doi-asserted-by":"crossref","unstructured":"Baptiste Nicolet Fabrice Rousselle Jan Novak Alexander Keller Wenzel Jakob and Thomas M\u00fcller. 2023. Recursive Control Variates for Inverse Rendering. ACM Trans. Graph. 42 4 Article 62 (July 2023) 13\u00a0pages.","DOI":"10.1145\/3592139"},{"key":"e_1_3_3_2_27_1","doi-asserted-by":"crossref","unstructured":"Merlin Nimier-David Thomas M\u00fcller Alexander Keller and Wenzel Jakob. 2022. Unbiased Inverse Volume Rendering with Differential Trackers. ACM Trans. Graph. 41 4 Article 44 (July 2022) 20\u00a0pages.","DOI":"10.1145\/3528223.3530073"},{"key":"e_1_3_3_2_28_1","doi-asserted-by":"crossref","unstructured":"Merlin Nimier-David S\u00e9bastien Speierer Beno\u00eet Ruiz and Wenzel Jakob. 2020. Radiative Backpropagation: An Adjoint Method for Lightning-Fast Differentiable Rendering. ACM Trans. Graph. 39 4 Article 146 (Aug. 2020) 15\u00a0pages.","DOI":"10.1145\/3386569.3392406"},{"key":"e_1_3_3_2_29_1","doi-asserted-by":"crossref","unstructured":"Fabrice Rousselle Claude Knaus and Matthias Zwicker. 2011. Adaptive sampling and reconstruction using greedy error minimization. ACM Trans. Graph. 30 6 (Dec. 2011) 1\u201312.","DOI":"10.1145\/2070781.2024193"},{"key":"e_1_3_3_2_30_1","doi-asserted-by":"crossref","unstructured":"Fabrice Rousselle Marco Manzi and Matthias Zwicker. 2013. Robust Denoising using Feature and Color Information. Computer Graphics Forum 32 7 (2013) 121\u2013130.","DOI":"10.1111\/cgf.12219"},{"key":"e_1_3_3_2_31_1","doi-asserted-by":"crossref","unstructured":"Delio Vicini S\u00e9bastien Speierer and Wenzel Jakob. 2021. Path replay backpropagation: differentiating light paths using constant memory and linear time. ACM Trans. Graph. 40 4 Article 108 (2021) 14\u00a0pages.","DOI":"10.1145\/3450626.3459804"},{"key":"e_1_3_3_2_32_1","doi-asserted-by":"crossref","unstructured":"Yu-Chen Wang Chris Wyman Lifan Wu and Shuang Zhao. 2023. Amortizing Samples in Physics-Based Inverse Rendering Using ReSTIR. ACM Trans. Graph. 42 6 Article 214 (Dec. 2023) 17\u00a0pages.","DOI":"10.1145\/3618331"},{"key":"e_1_3_3_2_33_1","doi-asserted-by":"crossref","unstructured":"Peiyu Xu Sai Bangaru Tzu-Mao Li and Shuang Zhao. 2023. Warped-Area Reparameterization of Differential Path Integrals. ACM Trans. Graph. 42 6 Article 213 (Dec. 2023) 18\u00a0pages.","DOI":"10.1145\/3618330"},{"key":"e_1_3_3_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3680528.3687603"},{"key":"e_1_3_3_2_35_1","doi-asserted-by":"crossref","unstructured":"Tizian Zeltner S\u00e9bastien Speierer Iliyan Georgiev and Wenzel Jakob. 2021. Monte Carlo Estimators for Differential Light Transport. ACM Trans. Graph. 40 4 Article 78 (July 2021) 16\u00a0pages.","DOI":"10.1145\/3450626.3459807"},{"key":"e_1_3_3_2_36_1","doi-asserted-by":"crossref","unstructured":"Cheng Zhang Zhao Dong Michael Doggett and Shuang Zhao. 2021a. Antithetic sampling for Monte Carlo differentiable rendering. ACM Trans. Graph. 40 4 Article 77 (July 2021) 12\u00a0pages.","DOI":"10.1145\/3450626.3459783"},{"key":"e_1_3_3_2_37_1","doi-asserted-by":"crossref","unstructured":"Cheng Zhang Bailey Miller Kai Yan Ioannis Gkioulekas and Shuang Zhao. 2020. Path-Space Differentiable Rendering. ACM Trans. Graph. 39 4 Article 143 (Aug. 2020) 19\u00a0pages.","DOI":"10.1145\/3386569.3392383"},{"key":"e_1_3_3_2_38_1","doi-asserted-by":"crossref","unstructured":"Cheng Zhang Lifan Wu Changxi Zheng Ioannis Gkioulekas Ravi Ramamoorthi and Shuang Zhao. 2019. A Differential Theory of Radiative Transfer. ACM Trans. Graph. 38 6 Article 227 (Nov. 2019) 16\u00a0pages.","DOI":"10.1145\/3355089.3356522"},{"key":"e_1_3_3_2_39_1","doi-asserted-by":"crossref","unstructured":"Cheng Zhang Zihan Yu and Shuang Zhao. 2021b. Path-Space Differentiable Rendering of Participating Media. ACM Trans. Graph. 40 4 Article 76 (July 2021) 15\u00a0pages.","DOI":"10.1145\/3450626.3459782"},{"key":"e_1_3_3_2_40_1","doi-asserted-by":"crossref","unstructured":"Ziyi Zhang Nicolas Roussel and Wenzel Jakob. 2023. Projective Sampling for Differentiable Rendering of Geometry. ACM Trans. Graph. 42 6 Article 212 (Dec. 2023) 14\u00a0pages.","DOI":"10.1145\/3618385"},{"key":"e_1_3_3_2_41_1","doi-asserted-by":"crossref","unstructured":"Shaokun Zheng Fengshi Zheng Kun Xu and Ling-Qi Yan. 2021. Ensemble denoising for Monte Carlo renderings. ACM Trans. Graph. 40 6 Article 274 (Dec. 2021) 17\u00a0pages.","DOI":"10.1145\/3478513.3480510"}],"event":{"name":"SIGGRAPH Conference Papers '25: Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","location":"Vancouver BC Canada","acronym":"SIGGRAPH Conference Papers '25","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":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3721238.3730714","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T14:55:21Z","timestamp":1774018521000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3721238.3730714"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,27]]},"references-count":40,"alternative-id":["10.1145\/3721238.3730714","10.1145\/3721238"],"URL":"https:\/\/doi.org\/10.1145\/3721238.3730714","relation":{},"subject":[],"published":{"date-parts":[[2025,7,27]]},"assertion":[{"value":"2025-07-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}