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A reflectance model for computer graphics
Robert L. Cook and Kenneth E. Torrance · 1982
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Image-based reconstruction of spatially varying materials
Hendrik P. A. Lensch, Jan Kautz, Michael Gosele, and Hans-Peter Seidel · 2001
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Planned sampling of spatially varying BRDFs
Hendrik P.A. Lensch, Jochen Lang, M. Sa Asla, and Hans-Peter Seidel · 2003
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Efficient BRDF importance sampling using a factored representation
Jason Lawrence, Szymon Rusinkiewicz, and Ravi Ramamoorthi · 2004
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Procrustes problems , volume 30
John C Gower and Garmt B Dijksterhuis · 2004
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 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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Reflectance modeling by neural texture synthesis
Miika Aittala, Timo Aila, and Jaakko Lehtinen · 2018
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Approximate svBRDF estimation from mobile phone video
Rachel Albert, Dorian Yao Chan, Dan B. Goldman, and James F. O’Brian · 2018
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Deep Dual Loss BRDF Parameter Estimation
Mark Boss, Fabian Groh, Sebastian Herholz, and Hendrik P. A. Lensch · 2018
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Single-image SVBRDF capture with a rendering-aware deep network
Valentin Deschaintre, Miika Aitalla, Fredo Durand, George Drettakis, and Adrien Bousseau · 2018
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Materials for masses: SVBRDF acquisition with a single mobile phone image
Zhengqin Li, Kalyan Sunkavalli, and Manmohan Chandraker · 2018
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Practical SVBRDF acquisition of 3d objects with unstructured flash photography
Giljoo Nam, Diego Gutierrez, and Min H. Kim · 2018
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Single image surface appearance modeling with self-augmented cnns and inexact supervision
Wenjie Ye, Xiao Li, Yue Dong, Pieter Peers, and Xin Tong · 2018
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Blender - a 3D modelling and rendering package
Blender Online Community · 2018
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Single image brdf parameter estimation with a conditional adversarial network
Mark Boss and Hendrik P.A. Lensch · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Flexible SVBRDF capture with a multi-image deep network
Valentin Deschaintre, Miika Aitalla, Fredo 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, and Xin Tong · 2019
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Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Neural inverse rendering of an indoor scene from a single image
Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, and Jan Kautz · 2019
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Generative modelling of BRDF textures from flash images
Philipp Henzler, Valentin Deschaintre, Niloy J Mitra, and Tobias Ritschel · 2021
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Self-calibrating neural radiance fields
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, and Jaesik Park · 2021
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Uncalibrated neural inverse rendering for photometric stereo of general surfaces
Berk Kaya, Suryansh Kumar, Carlos Oliveira, Vittorio Ferrari, and Luc Van Gool · 2021
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Neural lumigraph rendering
Petr Kellnhofer, Lars Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, and Gordon Wetzstein · 2021
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Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Louis-Philippe Asselin, Denis Laurendeau, and Jean-François Lalonde · 2020
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Two-shot spatially-varying BRDF and shape estimation
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P.A. Lensch, and Jan Kautz · 2020
Cited alongside, same era.
Guided fine-tuning for large-scale material transfer
Valentin Deschaintre, George Drettakis, and Adrien Bousseau · 2020
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Shape and viewpoint without keypoints
Shubham Goel, Angjoo Kanazawa, and Jitendra Malik · 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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Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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NeRF: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
Cited alongside, same era.
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GNeRF: GAN-based Neural Radiance Field without Posed Camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
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Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
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NeRV: Neural reflectance and visibility fields for relighting and view synthesis
Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, and Jonathan T. Barron · 2021
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PlenOctrees for real-time rendering of neural radiance fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 2021
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Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
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GNeRF: GAN-based Neural Radiance Field without Posed Camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
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Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, and Ricardo Martin-Brualla · 2021
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NeRS: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild
Jason Zhang, Gengshan Yang, Shubham Tulsiani, and Deva Ramanan · 2021
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TensoRF: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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NeROIC: Neural object capture and rendering from online image collections
Zhengfei Kuang, Kyle Olszewski, Menglei Chai, Zeng Huang, Panos Achlioptas, and Sergey Tulyakov · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Mueller, and Sanja Fidler · 2022
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Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil and Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Ref-neRF: Structured view-dependent appearance for neural radiance fields
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T. Barron, and Pratul P. Srinivasan · 2022
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