{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:33:50Z","timestamp":1775579630646,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T00:00:00Z","timestamp":1702252800000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1909028"],"award-info":[{"award-number":["IIS-1909028"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,10]]},"DOI":"10.1145\/3610548.3618194","type":"proceedings-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T12:28:40Z","timestamp":1702297720000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":32,"title":["MatFusion: A Generative Diffusion Model for SVBRDF Capture"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1915-6887","authenticated-orcid":false,"given":"Sam","family":"Sartor","sequence":"first","affiliation":[{"name":"College of William &amp; Mary, United States of America"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7621-9808","authenticated-orcid":false,"given":"Pieter","family":"Peers","sequence":"additional","affiliation":[{"name":"College of William &amp; Mary, United States of America"}]}],"member":"320","published-online":{"date-parts":[[2023,12,11]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925917"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201378"},{"key":"e_1_3_2_2_3_1","volume-title":"Flexible SVBRDF Capture with a Multi-Image Deep Network. Comp. Graph. Forum 38, 4","author":"Deschaintre Valentin","year":"2019","unstructured":"Valentin Deschaintre, Miika Aittala, Fr\u00e9do Durand, George Drettakis, and Adrien Bousseau. 2019. Flexible SVBRDF Capture with a Multi-Image Deep Network. Comp. Graph. Forum 38, 4 (2019)."},{"key":"e_1_3_2_2_4_1","unstructured":"Prafulla Dhariwal and Alexander Nichol. 2021. Diffusion Models Beat GANs on Image Synthesis. In NeurIPS Vol.\u00a034. 8780\u20138794."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550454.3555458"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323042"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530173"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459854"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14142"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417779"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR. 770\u2013778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_12_1","volume-title":"Flax: A neural network library and ecosystem for JAX","author":"Heek Jonathan","year":"2023","unstructured":"Jonathan Heek, Anselm Levskaya, Avital Oliver, Marvin Ritter, Bertrand Rondepierre, Andreas Steiner, and Marc van Zee. 2023. Flax: A neural network library and ecosystem for JAX. http:\/\/github.com\/google\/flax"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480507"},{"key":"e_1_3_2_2_14_1","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems 33 (2020), 6840\u20136851.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_15_1","article-title":"Cascaded Diffusion Models for High Fidelity Image Generation","volume":"23","author":"Ho Jonathan","year":"2022","unstructured":"Jonathan Ho, Chitwan Saharia, William Chan, David\u00a0J. Fleet, Mohammad Norouzi, and Tim Salimans. 2022. Cascaded Diffusion Models for High Fidelity Image Generation. J. Mach. Learn. Res. 23 (2022), 47:1\u201347:33.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14591"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3502431"},{"key":"e_1_3_2_2_18_1","unstructured":"Zahra Kadkhodaie and Eero Simoncelli. 2021. Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser. In NeurIPS Vol.\u00a034. 13242\u201313254."},{"key":"e_1_3_2_2_19_1","unstructured":"Tero Karras Miika Aittala Timo Aila and Samuli Laine. 2022. Elucidating the Design Space of Diffusion-Based Generative Models. In NeurIPS."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073641"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"crossref","unstructured":"Zhengqin Li Kalyan Sunkavalli and Manmohan Chandraker. 2018. Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image. In ECCV. 74\u201390.","DOI":"10.1007\/978-3-030-01219-9_5"},{"key":"e_1_3_2_2_22_1","volume-title":"A ConvNet for the","author":"Liu Zhuang","year":"2020","unstructured":"Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie. 2022. A ConvNet for the 2020s. CVPR (2022)."},{"key":"e_1_3_2_2_23_1","unstructured":"Ilya Loshchilov and Frank Hutter. 2019. Decoupled Weight Decay Regularization. In ICLR."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14466"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-017-0773-x"},{"key":"e_1_3_2_2_26_1","volume-title":"Rabe and Charles Staats","author":"N.","year":"2021","unstructured":"Markus\u00a0N. Rabe and Charles Staats. 2021. Self-attention Does Not Need O(n2) Memory. arxiv:2112.05682\u00a0[cs.LG]"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser and Bj\u00f6rn Ommer. 2022. High-Resolution Image Synthesis With Latent Diffusion Models. In CVPR. 10684\u201310695.","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_2_2_28_1","volume-title":"Palette: Image-to-Image Diffusion Models. In ACM SIGGRAPH 2022 Conference Proceedings(SIGGRAPH \u201922)","author":"Saharia Chitwan","year":"2022","unstructured":"Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi. 2022. Palette: Image-to-Image Diffusion Models. In ACM SIGGRAPH 2022 Conference Proceedings(SIGGRAPH \u201922). Article 15, 10\u00a0pages."},{"key":"e_1_3_2_2_29_1","first-page":"04","article-title":"Image Super-Resolution via Iterative Refinement","volume":"45","author":"Saharia C.","year":"2023","unstructured":"C. Saharia, J. Ho, W. Chan, T. Salimans, D.\u00a0J. Fleet, and M. Norouzi. 2023. Image Super-Resolution via Iterative Refinement. IEEE TPAMI 45, 04 (apr 2023), 4713\u20134726.","journal-title":"IEEE TPAMI"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Shen Sang and M. Chandraker. 2020. Single-Shot Neural Relighting and SVBRDF Estimation. In ECCV.","DOI":"10.1007\/978-3-030-58529-7_6"},{"key":"e_1_3_2_2_31_1","unstructured":"Hiroshi Sasaki Chris\u00a0G. Willcocks and Toby\u00a0P. Breckon. 2021. UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. arxiv:2104.05358\u00a0[cs.CV]"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417781"},{"key":"e_1_3_2_2_33_1","unstructured":"Jiaming Song Chenlin Meng and Stefano Ermon. 2021a. Denoising Diffusion Implicit Models. In ICLR."},{"key":"e_1_3_2_2_34_1","first-page":"12438","article-title":"Improved techniques for training score-based generative models","volume":"33","author":"Song Yang","year":"2020","unstructured":"Yang Song and Stefano Ermon. 2020. Improved techniques for training score-based generative models. NeurIPS 33 (2020), 12438\u201312448.","journal-title":"NeurIPS"},{"key":"e_1_3_2_2_35_1","unstructured":"Yang Song Jascha Sohl-Dickstein Diederik\u00a0P Kingma Abhishek Kumar Stefano Ermon and Ben Poole. 2021b. Score-Based Generative Modeling through Stochastic Differential Equations. In ICLR."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"crossref","unstructured":"Giuseppe Vecchio Simone Palazzo and Concetto Spampinato. 2021. SurfaceNet: Adversarial SVBRDF Estimation From a Single Image. In ICCV.","DOI":"10.1109\/ICCV48922.2021.01260"},{"key":"e_1_3_2_2_37_1","volume-title":"Diffusers: State-of-the-art diffusion models. https:\/\/github.com\/huggingface\/diffusers.","author":"von Platen Patrick","year":"2022","unstructured":"Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf. 2022. Diffusers: State-of-the-art diffusion models. https:\/\/github.com\/huggingface\/diffusers."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","unstructured":"Andrey Voynov Kfir Abernan and Daniel Cohen-Or. 2022. Sketch-Guided Text-to-Image Diffusion Models. (2022).","DOI":"10.1145\/3588432.3591560"},{"key":"e_1_3_2_2_39_1","unstructured":"Bruce Walter Stephen\u00a0R. Marschner Hongsong Li and Kenneth\u00a0E. Torrance. 2007. Microfacet Models for Refraction through Rough Surfaces. In EGSR. 195\u2013206."},{"key":"e_1_3_2_2_40_1","volume-title":"SVBRDF Recovery from a Single Image with Highlights Using a Pre-trained Generative Adversarial Network. Comp. Graph. Forum 41, 6","author":"Wen Tao","year":"2022","unstructured":"Tao Wen, Beibei Wang, Lei Zhang, Jie Guo, and Nicolas Holzschuch. 2022. SVBRDF Recovery from a Single Image with Highlights Using a Pre-trained Generative Adversarial Network. Comp. Graph. Forum 41, 6 (2022)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14387"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13560"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Lvmin Zhang and Maneesh Agrawala. 2023. Adding Conditional Control to Text-to-Image Diffusion Models. arXiv:2302.05543 [cs].","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Richard Zhang Phillip Isola Alexei\u00a0A Efros Eli Shechtman and Oliver Wang. 2018. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. In CVPR.","DOI":"10.1109\/CVPR.2018.00068"},{"key":"e_1_3_2_2_45_1","volume-title":"Controllable Material Generation and Capture. In SIGGRAPH Asia 2022 Conference Papers. Article 34","author":"Zhou Xilong","year":"2022","unstructured":"Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, and Nima\u00a0Khademi Kalantari. 2022. TileGen: Tileable, Controllable Material Generation and Capture. In SIGGRAPH Asia 2022 Conference Papers. Article 34."},{"key":"e_1_3_2_2_46_1","volume-title":"Adversarial Single-Image SVBRDF Estimation with Hybrid Training. Comp. Graph. Forum","author":"Zhou Xilong","year":"2021","unstructured":"Xilong Zhou and Nima\u00a0Khademi Kalantari. 2021. Adversarial Single-Image SVBRDF Estimation with Hybrid Training. Comp. Graph. Forum (2021)."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550454.3555495"}],"event":{"name":"SA '23: SIGGRAPH Asia 2023","location":"Sydney NSW Australia","acronym":"SA '23","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["SIGGRAPH Asia 2023 Conference Papers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610548.3618194","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3610548.3618194","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3610548.3618194","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T09:30:33Z","timestamp":1755768633000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610548.3618194"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,10]]},"references-count":47,"alternative-id":["10.1145\/3610548.3618194","10.1145\/3610548"],"URL":"https:\/\/doi.org\/10.1145\/3610548.3618194","relation":{},"subject":[],"published":{"date-parts":[[2023,12,10]]},"assertion":[{"value":"2023-12-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}