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Decomposing 3D assets into material parts is a common task for artists, yet remains a highly manual process.
Textural features for image classification
Robert M Haralick, Karthikeyan Shanmugam, and Its’ Hak Dinstein · 1973
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Color-and texture-based image segmentation using em and its application to content-based image retrieval
Serge Belongie, Chad Carson, Hayit Greenspan, and Jitendra Malik · 1998
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Reflectance and texture of real-world surfaces
Kristin J Dana, Bram Van Ginneken, Shree K Nayar, and Jan J Koenderink · 1999
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Filtering for texture classification: A comparative study
Trygve Randen and John Hakon Husoy · 1999
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Image-based reconstruction of spatial appearance and geometric detail
Hendrik P. A. Lensch, Jan Kautz, Michael Goesele, Wolfgang Heidrich, and Hans-Peter Seidel · 2003
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A multichannel watershed-based algorithm for supervised texture segmentation
Norberto Malpica, Juan E Ortuño, and Andres Santos · 2003
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Inverse Shade Trees for Non-Parametric Material Representation and Editing
Jason Lawrence, Aner Ben-Artzi, Christopher DeCoro, Wojciech Matusik, Hanspeter Pfister, Ravi Ramamoorthi, and Szymon Rusinkiewicz · 2006
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The bhattacharyya space for feature selection and its application to texture segmentation
Constantino Carlos Reyes-Aldasoro and Abhir Bhalerao · 2006
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Pattern recognition and machine learning
Christopher M Bishop · 2006
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Appwand: Editing measured materials using appearance-driven optimization
Fabio Pellacini and Jason Lawrence · 2007
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Material matting
Daniel Lepage and Jason Lawrence · 2011
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Opensurfaces: A richly annotated catalog of surface appearance
Sean Bell, Paul Upchurch, Noah Snavely, and Kavita Bala · 2013
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Knn matting
Qifeng Chen, Dingzeyu Li, and Chi-Keung Tang · 2013
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Accuracy and speed of material categorization in real-world images
Lavanya Sharan, Ruth Rosenholtz, and Edward H. Adelson · 2014
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Material recognition in the wild with the materials in context database
Sean Bell, Paul Upchurch, Noah Snavely, and Kavita Bala · 2015
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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A 4d light-field dataset and cnn architectures for material recognition
Ting-Chun Wang, Jun-Yan Zhu, Ebi Hiroaki, Manmohan Chandraker, Alexei A Efros, and Ravi Ramamoorthi · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Single-image svbrdf capture with a rendering-aware deep network
Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, and Adrien Bousseau · 2018
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Flexible svbrdf capture with a multi-image deep network
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, and Adrien Bousseau · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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A dataset of multi-illumination images in the wild
Lukas Murmann, Michael Gharbi, Miika Aittala, and Fredo Durand · 2019
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Recognizing material properties from images
Gabriel Schwartz and Ko Nishino · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al · 2020
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Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials
Satoru Masubuchi, Eisuke Watanabe, Yuta Seo, Shota Okazaki, Takao Sasagawa, Kenji Watanabe, Takashi Taniguchi, and Tomoki Machida · 2020
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Match: Differentiable material graphs for procedural material capture
Liang Shi, Beichen Li, Miloš Hašan, Kalyan Sunkavalli, Tamy Boubekeur, Radomir Mech, and Wojciech Matusik · 2020
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https://evermotion.org/shop/cat/397/archinteriors
Evermotion arch interior, 2021 · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Universal image segmentation for optical identification of 2d materials
Randy M Sterbentz, Kristine L Haley, and Joshua O Island · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Materialistic: Selecting similar materials in images
Prafull Sharma, Julien Philip, Michaël Gharbi, Bill Freeman, Fredo Durand, and Valentin Deschaintre · 2023
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Nerfstudio: A modular framework for neural radiance field development
Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, et al · 2023
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Matatlas: Text-driven consistent geometry texturing and material assignment
Duygu Ceylan, Valentin Deschaintre, Thibault Groueix, Rosalie Martin, Chun-Hao Huang, Romain Rouffet, Vladimir G. Kim, and Gaëtan Lassagne · 2024
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The faiss library
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Yiwei Hu, Chengan He, Valentin Deschaintre, Julie Dorsey, and Holly Rushmeier · 2022
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Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
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Neural volumetric object selection
Zhongzheng Ren, Aseem Agarwala, Bryan Russell, Alexander G Schwing, and Oliver Wang · 2022
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Neural feature fusion fields: 3d distillation of self-supervised 2d image representations
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A dense material segmentation dataset for indoor and outdoor scene parsing
Paul Upchurch and Ransen Niu · 2022
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Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Probing the 3d awareness of visual foundation models
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Language-driven physics-based scene synthesis and editing via feature splatting
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