Fetching the paper…
Reading the bibliography…
We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations.
A Reflectance Model for Computer Graphics
R. L. Cook and K. E. Torrance · 1982
Earlier work this paper cites.
The Rendering Equation
James T. Kajiya · 1986
Earlier work this paper cites.
Marching Cubes: A High Resolution 3D Surface Construction Algorithm
William E. Lorensen and Harvey E. Cline · 1987
Earlier work this paper cites.
A Standard Default Color Space for the Internet - sRGB, 1996
Michael Stokes, Matthew Anderson, Srinivasan Chandrasekar, and Ricardo Motta · 1996
Earlier work this paper cites.
Poxels: Probabilistic Voxelized Volume Reconstruction
Jeremy S De Bonet and Paul Viola · 1999
Earlier work this paper cites.
Photorealistic Scene Reconstruction by Voxel Coloring
Steven M Seitz and Charles R Dyer · 1999
Earlier work this paper cites.
From Images to 3D Models
Marc Pollefeys and Luc Van Gool · 2002
Earlier work this paper cites.
Linear Light Source Reflectometry
Andrew Gardner, Chris Tchou, Tim Hawkins, and Paul Debevec · 2003
Earlier work this paper cites.
Planned Sampling of Spatially Varying BRDFs
Hendrik P.A. Lensch, Jochen Lang, Asla M. Sa, and Hans-Peter Seidel · 2003
Earlier work this paper cites.
Laplacian Mesh Processing
Olga Sorkine · 2005
Earlier work this paper cites.
Photo Tourism: Exploring Photo Collections in 3D
Noah Snavely, Steven M. Seitz, and Richard Szeliski · 2006
Earlier work this paper cites.
Microfacet Models for Refraction through Rough Surfaces
Bruce Walter, Stephen R. Marschner, Hongsong Li, and Kenneth E. Torrance · 2007
Earlier work this paper cites.
Accurate, Dense, and Robust Multiview Stereopsis
Yasutaka Furukawa and Jean Ponce · 2009
Earlier work this paper cites.
Estimating Specular Roughness and Anisotropy from Second Order Spherical Gradient Illumination
Abhijeet Ghosh, Tongbo Chen, Pieter Peers, Cyrus A. Wilson, and Paul Debevec · 2009
Earlier work this paper cites.
Building Rome in a Day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M Seitz, and Richard Szeliski · 2011
Earlier work this paper cites.
Physically Based Shading at Disney
Brent Burley · 2012
Earlier work this paper cites.
Visual Texture
M. Haindl and J. Filip · 2013
Earlier work this paper cites.
Real Shading in Unreal Engine 4
Brian Karis · 2013
Earlier work this paper cites.
Screened Poisson Surface Reconstruction
Michael Kazhdan and Hugues Hoppe · 2013
Earlier work this paper cites.
Large Scale Multi-view Stereopsis Evaluation
Rasmus Jensen, Anders Dahl, George Vogiatzis, Engil Tola, and Henrik Aanæs · 2014
Earlier work this paper cites.
Moving Frostbite to Physically Based Rendering 3.0
Sebastien Lagarde and Charles de Rousiers · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Advances in Geometry and Reflectance Acquisition (Course Notes)
Michael Weinmann and Reinhard Klein · 2015
Earlier work this paper cites.
Gipuma: Massively Parallel Multi-view Stereo Reconstruction
Silvano Galliani, Katrin Lasinger, and Konrad Schindler · 2016
Earlier work this paper cites.
BRDF Representation and Acquisition
D. Guarnera, G. C. Guarnera, A. Ghosh, C. Denk, and M. Glencross · 2016
Earlier work this paper cites.
Pixelwise View Selection for Unstructured Multi-View Stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Mask R-CNN for Object Detection and Instance Segmentation on Keras and TensorFlow
Waleed Abdulla · 2017
Earlier work this paper cites.
Learning to Reconstruct Shape and Spatially-Varying Reflectance from a Single Image
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Kalyan Sunkavalli, and Manmohan Chandraker · 2018
Cited alongside, same era.
Deep Marching Cubes: Learning Explicit Surface Representations
Yiyi Liao, Simon Donné, and Andreas Geiger · 2018
Cited alongside, same era.
Smithsonian 3D Digitization, 2018
Smithsonian · 2018
Cited alongside, same era.
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
Cited alongside, same era.
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
Cited alongside, same era.
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, and Hendrik P.A. Lensch · 2021
Closest in time.
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khalis, Or Litany, and Sanja Fidler · 2021
Closest in time.
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin · 2021
Closest in time.
Photogrammetry at Embark, 2021
Andrew Svanberg Hamilton · 2021
Closest in time.
Appearance-Driven Automatic 3D Model Simplification
Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, and Samuli Laine · 2021
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Krishna Murthy J., Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, and Sanja Fidler · 2019
Cited alongside, same era.
PointRend: Image Segmentation as Rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick · 2019
Cited alongside, same era.
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
Cited alongside, same era.
Mitsuba 2: A Retargetable Forward and Inverse Renderer
Merlin Nimier-David, Delio Vicini, Tizian Zeltner, and Wenzel Jakob · 2019
Cited alongside, same era.
Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
Cited alongside, same era.
FLIP: A Difference Evaluator for Alternating Images
Pontus Andersson, Jim Nilsson, Tomas Akenine-Möller, Magnus Oskarsson, Kalle Åström, and Mark D. Fairchild · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, and Daniel Cohen-Or · 2021
Closest in time.
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
Fujun Luan, Shuang Zhao, Kavita Bala, and Zhao Dong · 2021
Closest in time.
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 · 2021
Closest in time.
Tiny CUDA Neural Network Framework, 2021
Thomas Müller · 2021
Closest in time.
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer and Andreas Geiger · 2021
Closest in time.
Material and Lighting Reconstruction for Complex Indoor Scenes with Texture-space Differentiable Rendering
Merlin Nimier-David, Zhao Dong, Wenzel Jakob, and Anton Kaplanyan · 2021
Closest in time.
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
Closest in time.
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
Closest in time.
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
Closest in time.
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, and Sanja Fidler · 2021
Closest in time.
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
Closest in time.
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
Closest in time.
NeX: Real-time View Synthesis with Neural Basis Expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn · 2021
Closest in time.
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2021
Closest in time.
xatlas, 2021
Jonathan Young · 2021
Closest in time.
PlenOctrees for Real-time Rendering of Neural Radiance Fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 2021
Closest in time.
Poly Haven, 2021
Greg Zaal · 2021
Closest in time.
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, and Noah Snavely · 2021
Closest in time.
NeRFactor: Neural Factorization of Shape and Reflectance under an Unknown Illumination
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul Debevec, William T. Freeman, and Jonathan T. Barron · 2021
Closest in time.
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, and Sanja Fidler · 2021
Closest in time.
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
Closest in time.