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We present PhySG, an end-to-end inverse rendering pipeline that includes a fully differentiable renderer and can reconstruct geometry, materials, and illumination from scratch from a set of RGB input images.
The rendering equation
James T Kajiya · 1986
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Measuring and modeling anisotropic reflection
Gregory J Ward · 1992
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Surface light fields for 3d photography
Daniel N Wood, Daniel I Azuma, Ken Aldinger, Brian Curless, Tom Duchamp, David H Salesin, and Werner Stuetzle · 2000
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An efficient representation for irradiance environment maps
Ravi Ramamoorthi and Pat Hanrahan · 2001
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A signal-processing framework for reflection
Ravi Ramamoorthi and Pat Hanrahan · 2004
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Relighting objects from image collections
Tom Haber, Christian Fuchs, Philippe Bekaer, Hans-Peter Seidel, Michael Goesele, and Hendrik PA Lensch · 2009
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All-frequency rendering of dynamic, spatially-varying reflectance
Jiaping Wang, Peiran Ren, Minmin Gong, John Snyder, and Baining Guo · 2009
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Mitsuba renderer, 2010
Wenzel Jakob · 2010
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Blind reflectometry
Fabiano Romeiro and Todd Zickler · 2010
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Physically-based shading at disney
Brent Burley and Walt Disney Animation Studios · 2012
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Accurate translucent material rendering under spherical gaussian lights
Ling-Qi Yan, Yahan Zhou, Kun Xu, and Rui Wang · 2012
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Anisotropic spherical gaussians
Kun Xu, Wei-Lun Sun, Zhao Dong, Dan-Yong Zhao, Run-Dong Wu, and Shi-Min Hu · 2013
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Shape, illumination, and reflectance from shading
Jonathan T Barron and Jitendra Malik · 2014
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Appearance-from-motion: Recovering spatially varying surface reflectance under unknown lighting
Yue Dong, Guojun Chen, Pieter Peers, Jiawan Zhang, and Xin Tong · 2014
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Multiview shape and reflectance from natural illumination
Geoffrey Oxholm and Ko Nishino · 2014
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A survey of photometric stereo techniques
Jens Ackermann and Michael Goesele · 2015
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Spherical fibonacci mapping
Benjamin Keinert, Matthias Innmann, Michael Sänger, and Marc Stamminger · 2015
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Shading-based refinement on volumetric signed distance functions
Michael Zollhöfer, Angela Dai, Matthias Innmann, Chenglei Wu, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2015
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Large-scale data for multiple-view stereopsis
Henrik Aanæs, Rasmus Ramsbøl Jensen, George Vogiatzis, Engin Tola, and Anders Bjorholm Dahl · 2016
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Radiometric scene decomposition: Scene reflectance, illumination, and geometry from rgb-d images
Stephen Lombardi and Ko Nishino · 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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Recovering shape and spatially-varying surface reflectance under unknown illumination
Rui Xia, Yue Dong, Pieter Peers, and Xin Tong · 2016
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Sparse-as-possible svbrdf acquisition
Zhiming Zhou, Guojun Chen, Yue Dong, David Wipf, Yong Yu, John Snyder, and Xin Tong · 2016
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Intrinsic3D: High-quality 3D reconstruction by joint appearance and geometry optimization with spatially-varying lighting
https://www.remove.bg/
Remove image background · 2020
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Neural reflectance fields for appearance acquisition
Sai Bi, Zexiang Xu, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, and Ravi Ramamoorthi · 2020
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Deep reflectance volumes: Relightable reconstructions from multi-view photometric images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, and Ravi Ramamoorthi · 2020
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Deep 3d capture: Geometry and reflectance from sparse multi-view images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David Kriegman, and Ravi Ramamoorthi · 2020
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Deferred neural lighting: free-viewpoint relighting from unstructured photographs
Duan Gao, Guojun Chen, Yue Dong, Pieter Peers, Kun Xu, and Xin Tong · 2020
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Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, and Matthias Nießner · 2017
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Differentiable monte carlo ray tracing through edge sampling
Tzu-Mao Li, Miika Aittala, Frédo Durand, and Jaakko Lehtinen · 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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Hemispherical gaussians for accurate light integration
Julian Meder and Beat Brüderlin · 2018
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Practical svbrdf acquisition of 3d objects with unstructured flash photography
Giljoo Nam, Joo Ho Lee, Diego Gutierrez, and Min H Kim · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Inverse path tracing for joint material and lighting estimation
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, and Matthias Nießner · 2019
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Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
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Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization
Yue Jiang, Dantong Ji, Zhizhong Han, and Matthias Zwicker · 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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Crowdsampling the plenoptic function
Zhengqi Li, Wenqi Xian, Abe Davis, and Noah Snavely · 2020
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Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2020
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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 · 2020
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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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Learning implicit surface light fields
Michael Oechsle, Michael Niemeyer, Lars Mescheder, Thilo Strauss, and Andreas Geiger · 2020
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Seeing the world in a bag of chips
Jeong Joon Park, Aleksander Holynski, and Steve Seitz · 2020
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On joint estimation of pose, geometry and svbrdf from a handheld scanner
Carolin Schmitt, Simon Donne, Gernot Riegler, Vladlen Koltun, and Andreas Geiger · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T Barron, and Ren Ng · 2020
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State of the art on neural rendering
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, et al · 2020
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Multiview neural surface reconstruction with implicit lighting and material
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, and Yaron Lipman · 2020
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Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
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