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We learn a latent space for easy capture, consistent interpolation, and efficient reproduction of visual material appearance.
Reflectance and natural illumination from single-material specular objects using deep learning
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Understanding the Masking-Shadowing Function in Microfacet-Based BRDFs
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Reflectance modeling by neural texture synthesis
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BRDF representation and acquisition
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Single Image Surface Appearance Modeling with Self-augmented CNNs and Inexact Supervision
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Non-stationary texture synthesis by adversarial expansion
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Gaussian material synthesis
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Flexible SVBRDF Capture with a Multi-Image Deep Network
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Deep inverse rendering for high-resolution SVBRDF estimation from an arbitrary number of images
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A Novel Framework for Inverse Procedural Texture Modeling
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Deep residual learning for image recognition. In CVPR . 770–8
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Perceptual losses for real-time style transfer and super-resolution. In ECCV
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An intuitive control space for material appearance
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Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.. In ICML
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Yiwei Hu, Julie Dorsey, and Holly Rushmeier. 2019 · 2019
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Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Xiao Li, Yue Dong, Pieter Peers, and Xin Tong. 2019 · 2019
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Mitsuba 2: A retargetable forward and inverse renderer
Merlin Nimier-David, Delio Vicini, Tizian Zeltner, and Wenzel Jakob. 2019 · 2019
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Photoshape: photorealistic materials for large-scale shape collections
Keunhong Park, Konstantinos Rematas, Ali Farhadi, and Steven M Seitz. 2019 · 2019
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Singan: Learning a generative model from a single natural image. In ICCV
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli. 2019 · 2019
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Two-shot Spatially-varying BRDF and Shape Estimation. In CVPR
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P.A. Lensch, and Jan Kautz. 2020 · 2020
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Guided Fine-Tuning for Large-Scale Material Transfer
Valentin Deschaintre, George Drettakis, and Adrien Bousseau. 2020 · 2020
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A Bayesian Inference Framework for Procedural Material Parameter Estimation
Yu Guo, Miloš Hašan, Lingqi Yan, and Shuang Zhao. 2020a · 2020
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MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, and Shuang Zhao. 2020b · 2020
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Learning a Neural 3D Texture Space from 2D Exemplars
Philipp Henzler, Niloy J Mitra, and Tobias Ritschel. 2020 · 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 · 2020
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Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network. In EGSR
Yezi Zhao, Beibei Wang, Yanning Xu, Zheng Zeng, Lu Wang, and Nicolas Holzschuch. 2020 · 2020
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Deep polarization imaging for 3D shape and SVBRDF acquisition. In CVPR
Valentin Deschaintre, Yiming Lin, and Abhijeet Ghosh. 2021 · 2021
Closest in time.
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 · 2021
Closest in time.
Adversarial Single-Image SVBRDF Estimation with Hybrid Training
Xilong Zhou and Nima Khademi Kalantari. 2021 · 2021
Closest in time.