{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:51:11Z","timestamp":1777657871448,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,23]],"date-time":"2023-07-23T00:00:00Z","timestamp":1690070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["IIS-2007283"],"award-info":[{"award-number":["IIS-2007283"]}],"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":[[2023,7,23]]},"DOI":"10.1145\/3588432.3591520","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T13:34:52Z","timestamp":1689773692000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["Generating Procedural Materials from Text or Image Prompts"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3674-295X","authenticated-orcid":false,"given":"Yiwei","family":"Hu","sequence":"first","affiliation":[{"name":"Yale University, United States of America and Adobe Research, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7568-2849","authenticated-orcid":false,"given":"Paul","family":"Guerrero","sequence":"additional","affiliation":[{"name":"Adobe Research, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3808-6092","authenticated-orcid":false,"given":"Milos","family":"Hasan","sequence":"additional","affiliation":[{"name":"Adobe Research, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5241-0886","authenticated-orcid":false,"given":"Holly","family":"Rushmeier","sequence":"additional","affiliation":[{"name":"Yale University, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6219-3747","authenticated-orcid":false,"given":"Valentin","family":"Deschaintre","sequence":"additional","affiliation":[{"name":"Adobe Research, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,23]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Adobe. 2023. Substance Designer. https:\/\/www.substance3d.com\/.  Adobe. 2023. Substance Designer. https:\/\/www.substance3d.com\/."},{"key":"e_1_3_2_2_2_1","unstructured":"Pranav Aggarwal Hareesh Ravi Naveen Marri Sachin Kelkar Fengbin Chen Vinh Khuc Midhun Harikumar Ritiz Tambi Sudharshan\u00a0Reddy Kakumanu Purvak Lapsiya Alvin Ghouas Sarah Saber Malavika Ramprasad Baldo Faieta and Ajinkya Kale. 2023. Controlled and Conditional Text to Image Generation with Diffusion Prior. arxiv:2302.11710\u00a0[cs.CV]  Pranav Aggarwal Hareesh Ravi Naveen Marri Sachin Kelkar Fengbin Chen Vinh Khuc Midhun Harikumar Ritiz Tambi Sudharshan\u00a0Reddy Kakumanu Purvak Lapsiya Alvin Ghouas Sarah Saber Malavika Ramprasad Baldo Faieta and Ajinkya Kale. 2023. Controlled and Conditional Text to Image Generation with Diffusion Prior. arxiv:2302.11710\u00a0[cs.CV]"},{"key":"e_1_3_2_2_3_1","volume-title":"Language models are few-shot learners. Advances in neural information processing systems 33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown , Benjamin Mann , Nick Ryder , Melanie Subbiah , Jared\u00a0 D Kaplan , Prafulla Dhariwal , Arvind Neelakantan , Pranav Shyam , Girish Sastry , Amanda Askell , 2020. Language models are few-shot learners. Advances in neural information processing systems 33 ( 2020 ), 1877\u20131901. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared\u00a0D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877\u20131901."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.28"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201378"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13765"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275006"},{"key":"e_1_3_2_2_8_1","volume-title":"Write","author":"Ellis Kevin","year":"2019","unstructured":"Kevin Ellis , Maxwell Nye , Yewen Pu , Felix Sosa , Josh Tenenbaum , and Armando Solar-Lezama . 2019. Write , Execute, Assess : Program Synthesis with a REPL. In Advances in Neural Information Processing Systems, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.). Vol.\u00a032. Curran Associates, Inc .https:\/\/proceedings.neurips.cc\/paper\/ 2019 \/file\/50d2d2262762648589b1943078712aa6-Paper.pdf Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, and Armando Solar-Lezama. 2019. Write, Execute, Assess: Program Synthesis with a REPL. In Advances in Neural Information Processing Systems, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.). Vol.\u00a032. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/50d2d2262762648589b1943078712aa6-Paper.pdf"},{"key":"e_1_3_2_2_9_1","volume-title":"Advances in Neural Information Processing Systems, S.\u00a0Bengio, H.\u00a0Wallach, H.\u00a0Larochelle, K.\u00a0Grauman, N.\u00a0Cesa-Bianchi, and R.\u00a0Garnett (Eds.). Vol.\u00a031. Curran Associates","author":"Ellis Kevin","year":"2018","unstructured":"Kevin Ellis , Daniel Ritchie , Armando Solar-Lezama , and Josh Tenenbaum . 2018. Learning to Infer Graphics Programs from Hand-Drawn Images . In Advances in Neural Information Processing Systems, S.\u00a0Bengio, H.\u00a0Wallach, H.\u00a0Larochelle, K.\u00a0Grauman, N.\u00a0Cesa-Bianchi, and R.\u00a0Garnett (Eds.). Vol.\u00a031. Curran Associates , Inc .https:\/\/proceedings.neurips.cc\/paper\/ 2018 \/file\/6788076842014c83cedadbe6b0ba0314-Paper.pdf Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, and Josh Tenenbaum. 2018. Learning to Infer Graphics Programs from Hand-Drawn Images. In Advances in Neural Information Processing Systems, S.\u00a0Bengio, H.\u00a0Wallach, H.\u00a0Larochelle, K.\u00a0Grauman, N.\u00a0Cesa-Bianchi, and R.\u00a0Garnett (Eds.). Vol.\u00a031. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper\/2018\/file\/6788076842014c83cedadbe6b0ba0314-Paper.pdf"},{"key":"e_1_3_2_2_10_1","volume-title":"International Conference on Machine Learning. PMLR, 1666\u20131675","author":"Ganin Yaroslav","year":"2018","unstructured":"Yaroslav Ganin , Tejas Kulkarni , Igor Babuschkin , S M\u00a0Ali Eslami , and Oriol Vinyals . 2018 . Synthesizing programs for images using reinforced adversarial learning . In International Conference on Machine Learning. PMLR, 1666\u20131675 . Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, SM\u00a0Ali Eslami, and Oriol Vinyals. 2018. Synthesizing programs for images using reinforced adversarial learning. In International Conference on Machine Learning. PMLR, 1666\u20131675."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3323042"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12867"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14061"},{"key":"e_1_3_2_2_14_1","article-title":"MatFormer: A Generative Model for Procedural Materials","volume":"41","author":"Guerrero Paul","year":"2022","unstructured":"Paul Guerrero , Milos Hasan , Kalyan Sunkavalli , Radomir Mech , Tamy Boubekeur , and Niloy Mitra . 2022 . MatFormer: A Generative Model for Procedural Materials . ACM Trans. Graph. 41 , 4, Article 46 (2022). https:\/\/doi.org\/10.1145\/3528223.3530173 10.1145\/3528223.3530173 Paul Guerrero, Milos Hasan, Kalyan Sunkavalli, Radomir Mech, Tamy Boubekeur, and Niloy Mitra. 2022. MatFormer: A Generative Model for Procedural Materials. ACM Trans. Graph. 41, 4, Article 46 (2022). https:\/\/doi.org\/10.1145\/3528223.3530173","journal-title":"ACM Trans. Graph."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459854"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14142"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417779"},{"key":"e_1_3_2_2_18_1","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Heitz Eric","year":"2021","unstructured":"Eric Heitz , Kenneth Vanhoey , Thomas Chambon , and Laurent Belcour . 2021 . A Sliced Wasserstein Loss for Neural Texture Synthesis . In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Eric Heitz, Kenneth Vanhoey, Thomas Chambon, and Laurent Belcour. 2021. A Sliced Wasserstein Loss for Neural Texture Synthesis. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_19_1","article-title":"Generative Modelling of BRDF Textures from Flash Images","volume":"40","author":"Henzler Philipp","year":"2021","unstructured":"Philipp Henzler , Valentin Deschaintre , Niloy\u00a0 J Mitra , and Tobias Ritschel . 2021 . Generative Modelling of BRDF Textures from Flash Images . ACM Trans Graph (Proc. SIGGRAPH Asia) 40 , 6 (2021). Philipp Henzler, Valentin Deschaintre, Niloy\u00a0J Mitra, and Tobias Ritschel. 2021. Generative Modelling of BRDF Textures from Flash Images. ACM Trans Graph (Proc. SIGGRAPH Asia) 40, 6 (2021).","journal-title":"ACM Trans Graph (Proc. SIGGRAPH Asia)"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356516"},{"key":"e_1_3_2_2_21_1","volume-title":"Node Graph Optimization Using Differentiable Proxies. In ACM SIGGRAPH 2022 Conference Proceedings","author":"Hu Yiwei","year":"2022","unstructured":"Yiwei Hu , Paul Guerrero , Milos Hasan , Holly Rushmeier , and Valentin Deschaintre . 2022 a. Node Graph Optimization Using Differentiable Proxies. In ACM SIGGRAPH 2022 Conference Proceedings ( Vancouver, BC, Canada). Article 5, 9\u00a0pages. Yiwei Hu, Paul Guerrero, Milos Hasan, Holly Rushmeier, and Valentin Deschaintre. 2022a. Node Graph Optimization Using Differentiable Proxies. In ACM SIGGRAPH 2022 Conference Proceedings (Vancouver, BC, Canada). Article 5, 9\u00a0pages."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14591"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3506694"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3181974"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.325"},{"key":"e_1_3_2_2_26_1","article-title":"ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis","volume":"39","author":"Jones Kenny","year":"2020","unstructured":"R.\u00a0 Kenny Jones , Theresa Barton , Xianghao Xu , Kai Wang , Ellen Jiang , Paul Guerrero , Niloy Mitra , and Daniel Ritchie . 2020 . ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis . ACM Trans. Graph. 39 , 6 (2020), Article 234. R.\u00a0Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy Mitra, and Daniel Ritchie. 2020. ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis. ACM Trans. Graph. 39, 6 (2020), Article 234.","journal-title":"ACM Trans. Graph."},{"key":"e_1_3_2_2_27_1","volume-title":"UCSG-Net \u2013 Unsupervised Discovering of Constructive Solid Geometry Tree. arXiv:2006.09102","author":"Kania Kacper","year":"2020","unstructured":"Kacper Kania , Maciej Zi\u0119ba , and Tomasz Kajdanowicz . 2020. UCSG-Net \u2013 Unsupervised Discovering of Constructive Solid Geometry Tree. arXiv:2006.09102 ( 2020 ). Kacper Kania, Maciej Zi\u0119ba, and Tomasz Kajdanowicz. 2020. UCSG-Net \u2013 Unsupervised Discovering of Constructive Solid Geometry Tree. arXiv:2006.09102 (2020)."},{"key":"e_1_3_2_2_28_1","volume-title":"Kingma and Jimmy Ba","author":"P.","year":"2015","unstructured":"Diederik\u00a0 P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds .). http:\/\/arxiv.org\/abs\/1412.6980 Diederik\u00a0P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073641"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980255"},{"key":"e_1_3_2_2_31_1","volume-title":"International Conference on Machine Learning. PMLR, 4144\u20134153","author":"Lu Sidi","year":"2019","unstructured":"Sidi Lu , Jiayuan Mao , Joshua Tenenbaum , and Jiajun Wu . 2019 . Neurally-guided structure inference . In International Conference on Machine Learning. PMLR, 4144\u20134153 . Sidi Lu, Jiayuan Mao, Joshua Tenenbaum, and Jiajun Wu. 2019. Neurally-guided structure inference. In International Conference on Machine Learning. PMLR, 4144\u20134153."},{"key":"e_1_3_2_2_32_1","volume-title":"International Conference on Machine Learning. PMLR, 8748\u20138763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford , Jong\u00a0Wook Kim , Chris Hallacy , Aditya Ramesh , Gabriel Goh , Sandhini Agarwal , Girish Sastry , Amanda Askell , Pamela Mishkin , Jack Clark , 2021 . Learning transferable visual models from natural language supervision . In International Conference on Machine Learning. PMLR, 8748\u20138763 . Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, 2021. Learning transferable visual models from natural language supervision. In International Conference on Machine Learning. PMLR, 8748\u20138763."},{"key":"e_1_3_2_2_33_1","volume-title":"Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:2204.06125","author":"Ramesh Aditya","year":"2022","unstructured":"Aditya Ramesh , Prafulla Dhariwal , Alex Nichol , Casey Chu , and Mark Chen . 2022. Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:2204.06125 ( 2022 ). Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022. Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:2204.06125 (2022)."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00232"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_2_2_36_1","volume-title":"CSGNet: Neural Shape Parser for Constructive Solid Geometry. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Sharma Gopal","year":"2018","unstructured":"Gopal Sharma , Rishabh Goyal , Difan Liu , Evangelos Kalogerakis , and Subhransu Maji . 2018 . CSGNet: Neural Shape Parser for Constructive Solid Geometry. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, and Subhransu Maji. 2018. CSGNet: Neural Shape Parser for Constructive Solid Geometry. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417781"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548146"},{"key":"e_1_3_2_2_39_1","volume-title":"Computer Graphics Forum, Vol.\u00a029","author":"\u0160tava Ondrej","unstructured":"Ondrej \u0160tava , Bedrich Bene\u0161 , Radomir M\u011bch , Daniel\u00a0 G Aliaga , and Peter Kri\u0161tof . 2010. Inverse procedural modeling by automatic generation of L-systems . In Computer Graphics Forum, Vol.\u00a029 . Wiley Online Library , 665\u2013674. Ondrej \u0160tava, Bedrich Bene\u0161, Radomir M\u011bch, Daniel\u00a0G Aliaga, and Peter Kri\u0161tof. 2010. Inverse procedural modeling by automatic generation of L-systems. In Computer Graphics Forum, Vol.\u00a029. Wiley Online Library, 665\u2013674."},{"key":"e_1_3_2_2_40_1","volume-title":"International Conference on Learning Representations.","author":"Tian Yonglong","year":"2019","unstructured":"Yonglong Tian , Andrew Luo , Xingyuan Sun , Kevin Ellis , William\u00a0 T. Freeman , Joshua\u00a0 B. Tenenbaum , and Jiajun Wu . 2019 . Learning to Infer and Execute 3D Shape Programs . In International Conference on Learning Representations. Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William\u00a0T. Freeman, Joshua\u00a0B. Tenenbaum, and Jiajun Wu. 2019. Learning to Infer and Execute 3D Shape Programs. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459838"},{"key":"e_1_3_2_2_42_1","volume-title":"Advances in Neural Information Processing Systems, I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Vol.\u00a030. Curran Associates","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan\u00a0 N Gomez , \u0141\u00a0ukasz Kaiser , and Illia Polosukhin . 2017. Attention is All you Need . In Advances in Neural Information Processing Systems, I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Vol.\u00a030. Curran Associates , Inc .https:\/\/proceedings.neurips.cc\/paper\/ 2017 \/file\/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N Gomez, \u0141\u00a0ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems, I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Vol.\u00a030. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper\/2017\/file\/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf"},{"key":"e_1_3_2_2_43_1","volume-title":"Pointer networks. Advances in neural information processing systems 28","author":"Vinyals Oriol","year":"2015","unstructured":"Oriol Vinyals , Meire Fortunato , and Navdeep Jaitly . 2015. Pointer networks. Advances in neural information processing systems 28 ( 2015 ). Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015. Pointer networks. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_2_44_1","volume-title":"Learning to infer shape programs using latent execution self training. arXiv:2011.13045","author":"Walke Homer","year":"2020","unstructured":"Homer Walke , R\u00a0Kenny Jones , and Daniel Ritchie . 2020. Learning to infer shape programs using latent execution self training. arXiv:2011.13045 ( 2020 ). Homer Walke, R\u00a0Kenny Jones, and Daniel Ritchie. 2020. Learning to infer shape programs using latent execution self training. arXiv:2011.13045 (2020)."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383847.2383874"},{"key":"e_1_3_2_2_46_1","first-page":"1","article-title":"Carpentry compiler","volume":"38","author":"Wu Chenming","year":"2019","unstructured":"Chenming Wu , Haisen Zhao , Chandrakana Nandi , Jeffrey\u00a0 I Lipton , Zachary Tatlock , and Adriana Schulz . 2019 . Carpentry compiler . ACM Trans. Graph. 38 , 6 (2019), 1 \u2013 14 . Chenming Wu, Haisen Zhao, Chandrakana Nandi, Jeffrey\u00a0I Lipton, Zachary Tatlock, and Adriana Schulz. 2019. Carpentry compiler. ACM Trans. Graph. 38, 6 (2019), 1\u201314.","journal-title":"ACM Trans. Graph."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00600"},{"key":"e_1_3_2_2_48_1","volume-title":"Deep Reflectance Scanning: Recovering Spatially-varying Material Appearance from a Flash-lit Video Sequence. Computer Graphics Forum","author":"Ye Wenjie","year":"2021","unstructured":"Wenjie Ye , Yue Dong , Pieter Peers , and Baining Guo . 2021. Deep Reflectance Scanning: Recovering Spatially-varying Material Appearance from a Flash-lit Video Sequence. Computer Graphics Forum ( 2021 ). https:\/\/doi.org\/10.1111\/cgf.14387 10.1111\/cgf.14387 Wenjie Ye, Yue Dong, Pieter Peers, and Baining Guo. 2021. Deep Reflectance Scanning: Recovering Spatially-varying Material Appearance from a Flash-lit Video Sequence. Computer Graphics Forum (2021). https:\/\/doi.org\/10.1111\/cgf.14387"},{"key":"e_1_3_2_2_49_1","volume-title":"Controllable Material Generation and Capture. CoRR abs\/2206.05649","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. CoRR abs\/2206.05649 ( 2022 ). https:\/\/doi.org\/10.48550\/arXiv.2206.05649 arXiv:2206.05649 10.48550\/arXiv.2206.05649 Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, and Nima\u00a0Khademi Kalantari. 2022. TileGen: Tileable, Controllable Material Generation and Capture. CoRR abs\/2206.05649 (2022). https:\/\/doi.org\/10.48550\/arXiv.2206.05649 arXiv:2206.05649"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.142635"}],"event":{"name":"SIGGRAPH '23: Special Interest Group on Computer Graphics and Interactive Techniques Conference","location":"Los Angeles CA USA","acronym":"SIGGRAPH '23","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3588432.3591520","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:10Z","timestamp":1750178830000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3588432.3591520"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,23]]},"references-count":50,"alternative-id":["10.1145\/3588432.3591520","10.1145\/3588432"],"URL":"https:\/\/doi.org\/10.1145\/3588432.3591520","relation":{},"subject":[],"published":{"date-parts":[[2023,7,23]]},"assertion":[{"value":"2023-07-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}