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Visual recognition of materials and their states is essential for understanding the physical world, from identifying wet regions on surfaces or stains on fabrics to detecting infected areas on plants or minerals in rocks.
Textural features corresponding to visual perception
Hideyuki Tamura, Shunji Mori, and Takashi Yamawaki · 1978
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Threshold evaluation techniques
Joan S Weszka and Azriel Rosenfeld · 1978
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Image segmentation by clustering
Guy Barrett Coleman and Harry C Andrews · 1979
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A survey on image segmentation
King-Sun Fu and JK Mui · 1981
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Segmentation by texture using correlation
Patrick C Chen and Theodosios Pavlidis · 1983
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Bidirectional scattering distribution function (bsdf): a systematized bibliography
Clara Asmail · 1991
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Unsupervised segmentation of textured images
Jaehyun Park and Ludwik Kurz · 1996
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Endless forms most beautiful: The new science of evo devo and the making of the animal kingdom
Sean B Carroll · 2005
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Multimodal microscopy for ore characterization
Otávio da Fonseca Martins Gomes and Sidnei Paciornik · 2012
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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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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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Physically based rendering: From theory to implementation
Matt Pharr, Wenzel Jakob, and Greg Humphreys · 2016
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Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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Unsupervised texture transfer from images to model collections
Tuanfeng Y Wang, Hao Su, Qixing Huang, Jingwei Huang, Leonidas J Guibas, and Niloy J Mitra · 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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Generate to adapt: Aligning domains using generative adversarial networks
Swami Sankaranarayanan, Yogesh Balaji, Carlos D Castillo, and Rama Chellappa · 2018
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Ivan Ustyuzhaninov, Claudio Michaelis, Wieland Brendel, and Matthias Bethge · 2018
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Sagi Eppel · 2019
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Texture feature extraction methods: A survey
Anne Humeau-Heurtier · 2019
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Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, and Konstantinos Bousmalis · 2019
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A similarity measure for material appearance
Manuel Lagunas, Sandra Malpica, Ana Serrano, Elena Garces, Diego Gutierrez, and Belen Masia · 2019
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Material-based segmentation of objects
Jonathan Dyssel Stets, Rasmus Ahrenkiel Lyngby, Jeppe Revall Frisvad, and Anders Bjorholm Dahl · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Computer vision for recognition of materials and vessels in chemistry lab settings and the vector-labpics data set
Sagi Eppel, Haoping Xu, Mor Bismuth, and Alan Aspuru-Guzik · 2020
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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
A dense material segmentation dataset for indoor and outdoor scene parsing
Paul Upchurch and Ransen Niu · 2022
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Yu Chen, Chirag Rastogi, Zheyu Zhou, and William R Norris · 2023
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A benchmark dataset for binary segmentation and quantification of dust emissions from unsealed roads
Asanka De Silva, Rajitha Ranasinghe, Arooran Sounthararajah, Hamed Haghighi, and Jayantha Kodikara · 2023
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One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
Manuel S Drehwald, Sagi Eppel, Jolina Li, Han Hao, and Alan Aspuru-Guzik · 2023
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Generating procedural materials from text or image prompts
Yiwei Hu, Paul Guerrero, Milos Hasan, Holly Rushmeier, and Valentin Deschaintre · 2023
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Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image
Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, and Manmohan Chandraker · 2020
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A class-independent texture-separation method based on a pixel-wise binary classification
Lucas de Assis Soares, Klaus Fabian Côco, Patrick Marques Ciarelli, and Evandro Ottoni Teatini Salles · 2020
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A review of single-source deep unsupervised visual domain adaptation
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E Gonzalez, Alberto L Sangiovanni-Vincentelli, Sanjit A Seshia, et al · 2020
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Leaf disease segmentation dataset, March 2021
Fakhre Alam · 2021
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Cu dataset – a copper ore labeled images dataset for segmentation training and testing, June 2021
Otávio da Fonseca Martins Gomes, Sidnei Paciornik, Michel Pedro Filippo, Gilson Alexandre Ostwald Pedro da Costa, and Guilherme Lucio Abelha Mota · 2021
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Fem dataset – an iron ore labeled images dataset for segmentation training and testing, June 2021
Otávio da Fonseca Martins Gomes, Sidnei Paciornik, Michel Pedro Filippo, Gilson Alexandre Ostwald Pedro da Costa, and Guilherme Lucio Abelha Mota · 2021
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Sagi Eppel, Haoping Xu, and Alan Aspuru-Guzik · 2021
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Infinite photorealistic worlds using procedural generation
Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang, et al · 2023
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Synthetic-to-real domain adaptation for action recognition: A dataset and baseline performances
Arun V Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D Katyal, Dinesh Manocha, Celso M De Melo, and Rama Chellappa · 2023
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Corrosion segment dataset, 2023
Roboflow · 2023
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Soil type class 2 dataset, 2023
Roboflow · 2023
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Soil type classification dataset, 2023
Roboflow · 2023
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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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Zest: Zero-shot material transfer from a single image
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Image To Material | Substance 3D Sampler
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Generate PBR Material with AI
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