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Recent advances in differentiable rendering have enabled high-quality reconstruction of 3D scenes from multi-view images.
The rendering equation
James T. Kajiya · 1986
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Optimally Combining Sampling Techniques for Monte Carlo Rendering
Eric Veach and Leonidas J. Guibas · 1995
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A Standard Default Color Space for the Internet - sRGB, 1996
Michael Stokes, Matthew Anderson, Srinivasan Chandrasekar, and Ricardo Motta · 1996
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Linear Light Source Reflectometry
Andrew Gardner, Chris Tchou, Tim Hawkins, and Paul Debevec · 2003
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Planned sampling of spatially varying BRDFs
Hendrik P.A. Lensch, Jochen Lang, Asla M. Sa, and Hans-Peter Seidel · 2003
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Microfacet Models for Refraction through Rough Surfaces
Bruce Walter, Stephen R. Marschner, Hongsong Li, and Kenneth E. Torrance · 2007
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Estimating Specular Roughness and Anisotropy from Second Order Spherical Gradient Illumination
Abhijeet Ghosh, Tongbo Chen, Pieter Peers, Cyrus A. Wilson, and Paul Debevec · 2009
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Physically Based Rendering, Second Edition: From Theory To Implementation
Matt Pharr and Greg Humphreys · 2010
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Physically Based Shading at Disney
Brent Burley · 2012
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Visual Texture
M. Haindl and J. Filip · 2013
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Real shading in unreal engine 4
Brian Karis · 2013
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2015
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Advances in Geometry and Reflectance Acquisition (Course Notes)
Michael Weinmann and Reinhard Klein · 2015
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Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering
Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, and Sung-Eui Yoon · 2015
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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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Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings
Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony DeRose, and Fabrice Rousselle · 2017
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Interactive Reconstruction of Monte Carlo Image Sequences Using a Recurrent Denoising Autoencoder
Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, Christoph Schied, Marco Salvi, Aaron Lefohn, Derek Nowrouzezahrai, and Timo Aila · 2017
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Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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Spatiotemporal Variance-guided Filtering: Real-time Reconstruction for Path-traced Global Illumination
Christoph Schied, Anton Kaplanyan, Chris Wyman, Anjul Patney, Chakravarty R. Alla Chaitanya, John Burgess, Shiqiu Liu, Carsten Dachsbacher, Aaron Lefohn, and Marco Salvi · 2017
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Sampling the GGX Distribution of Visible Normals
Eric Heitz · 2018
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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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Deep Marching Cubes: Learning Explicit Surface Representations
Yiyi Liao, Simon Donné, and Andreas Geiger · 2018
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Smithsonian 3D Digitization, 2018
Smithsonian · 2018
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Learning to predict 3d objects with an interpolation-based differentiable renderer
Wenzheng Chen, Jun Gao, Huan Ling, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler · 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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Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
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Reparameterizing Discontinuous Integrands for Differentiable Rendering
Guillaume Loubet, Nicolas Holzschuch, and Wenzel Jakob · 2019
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Mitsuba 2: A retargetable forward and inverse renderer
Merlin Nimier-David, Delio Vicini, Tizian Zeltner, and Wenzel Jakob · 2019
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Unbiased Warped-Area Sampling for Differentiable Rendering
Sai Bangaru, Tzu-Mao Li, and Frédo Durand · 2020
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Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
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Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Material and Lighting Reconstruction for Complex Indoor Scenes with Texture-space Differentiable Rendering
Merlin Nimier-David, Zhao Dong, Wenzel Jakob, and Anton Kaplanyan · 2021
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UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
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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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polyhaven, 2021
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Monte Carlo Estimators for Differential Light Transport
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PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
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NeRFactor: Neural Factorization of Shape and Reflectance under an Unknown Illumination
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Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
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