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We introduce MatSynth, a dataset of 4,000+ CC0 ultra-high resolution PBR materials.
A data-driven reflectance model
W. Matusik, H. Pfister, M. Brand, and L. McMillan · 2003
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Brdf representation and acquisition
D. Guarnera, G.C. Guarnera, A. Ghosh, C. Denk, and M. Glencross · 2016
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Modeling surface appearance from a single photograph using self-augmented convolutional neural networks
Xiao Li, Yue Dong, Pieter Peers, and Xin Tong · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Single-image svbrdf capture with a rendering-aware deep network
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, and Adrien Bousseau · 2018
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An adaptive parameterization for efficient material acquisition and rendering
Jonathan Dupuy and Wenzel Jakob · 2018
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Learning to reconstruct shape and spatially-varying reflectance from a single image
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Kalyan Sunkavalli, and Manmohan Chandraker · 2018
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The PBR Guide
Wes McDermott · 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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Deep inverse rendering for high-resolution svbrdf estimation from an arbitrary number of images
DUAN Gao, Xiao Li, Yue Dong, Pieter Peers, Kun Xu, and Xin Tong · 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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Guided fine-tuning for large-scale material transfer
Valentin Deschaintre, George Drettakis, and Adrien Bousseau · 2020
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MaterialGAN: Reflectance capture using a generative svbrdf model
Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, and Shuang Zhao · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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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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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Deep polarization imaging for 3d shape and svbrdf acquisition
Valentin Deschaintre, Yiming Lin, and Abhijeet Ghosh · 2021
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Highlight-aware two-stream network for single-image svbrdf acquisition
Jie Guo, Shuichang Lai, Chengzhi Tao, Yuelong Cai, Lei Wang, Yanwen Guo, and Ling-Qi Yan · 2021
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Generative modelling of brdf textures from flash images
Philipp Henzler, Valentin Deschaintre, Niloy J Mitra, and Tobias Ritschel · 2021
Cited alongside, same era.
Openrooms: An open framework for photorealistic indoor scene datasets
Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh Gundavarapu, Jia Shi, et al · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding
Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Angel Bautista, Nathan Paczan, Russ Webb, and Joshua M. Susskind · 2021
Cited alongside, same era.
Surfacenet: Adversarial svbrdf estimation from a single image
Giuseppe Vecchio, Simone Palazzo, and Concetto Spampinato · 2021
Cited alongside, same era.
The visual language of fabrics
Valentin Deschaintre, Julia Guerrero-Viu, Diego Gutierrez, Tamy Boubekeur, and Belen Masia · 2023
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Ultra-high resolution svbrdf recovery from a single image
Jie Guo, Shuichang Lai, Qinghao Tu, Chengzhi Tao, Changqing Zou, and Yanwen Guo · 2023
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Text2Mat: Generating Materials from Text
Zhen He, Jie Guo, Yan Zhang, Qinghao Tu, Mufan Chen, Yanwen Guo, Pengyu Wang, and Wei Dai · 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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https://www.polyhaven.com/ , 2023
PolyHaven · 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, Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, and Jia Deng · 2023
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Adversarial single-image svbrdf estimation with hybrid training
Xilong Zhou and Nima Khademi Kalantari · 2021
Cited alongside, same era.
Metappearance: Meta-learning for visual appearance reproduction
Michael Fischer and Tobias Ritschel · 2022
Cited alongside, same era.
Outcast: Single image relighting with cast shadows
David Griffiths, Tobias Ritschel, and Julien Philip · 2022
Cited alongside, same era.
Matformer: A generative model for procedural materials
Paul Guerrero, Milos Hasan, Kalyan Sunkavalli, Radomir Mech, Tamy Boubekeur, and Niloy Mitra · 2022
Cited alongside, same era.
MaterIA: Single image high-resolution material capture in the wild
Rosalie Martin, Arthur Roullier, Romain Rouffet, Adrien Kaiser, and Tamy Boubekeur · 2022
Cited alongside, same era.
Material swapping for 3d scenes using a learnt material similarity measure
Maxine Perroni-Scharf, Kalyan Sunkavalli, Jonathan Eisenmann, and Yannick Hold-Geoffroy · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
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https://www.sharetextures.com/ , 2023
ShareTextures · 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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Synthetic datasets for autonomous driving: A survey
Zhihang Song, Zimin He, Xingyu Li, Qiming Ma, Ruibo Ming, Zhiqi Mao, Huaxin Pei, Lihui Peng, Jianming Hu, Danya Yao, and Yi Zhang · 2023
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https://www.texturecan.com/ , 2023
TextureCan · 2023
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Accelerating reality: virtual environment generation for outdoor robot navigation using deep learning
Giuseppe Vecchio · 2023
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ControlMat: A Controlled Generative Approach to Material Capture
Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain Rouffet, Valentin Deschaintre, and Tamy Boubekeur · 2023
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VRay:MaterialLibrary
VRay · 2023
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Exploring clip for assessing the look and feel of images
Jianyi Wang, Kelvin CK Chan, and Chen Change Loy · 2023
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Psdr-room: Single photo to scene using differentiable rendering
K. Yan, F. Luan, M. Hašan, T. Groueix, V. Deschaintre, and S. Zhao · 2023
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Photomat: A material generator learned from single flash photos
Xilong Zhou, Milos Hasan, Valentin Deschaintre, Paul Guerrero, Yannick Hold-Geoffroy, Kalyan Sunkavalli, and Nima Khademi Kalantari · 2023
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MatFuse: Controllable Material Generation with Diffusion Models
Giuseppe Vecchio, Renato Sortino, Simone Palazzo, and Concetto Spampinato · 2024
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