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PhySG: Inverse Rendering with Spherical Gaussians for Physics-based
  Material Editing and Relighting

PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting

1 April 2021
Kai Zhang
Fujun Luan
Qianqian Wang
Kavita Bala
Noah Snavely
    3DGS
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Papers citing "PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting"

11 / 261 papers shown
Title
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance
  Fields
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
Dor Verbin
Peter Hedman
B. Mildenhall
Todd E. Zickler
Jonathan T. Barron
Pratul P. Srinivasan
35
587
0
07 Dec 2021
Extracting Triangular 3D Models, Materials, and Lighting From Images
Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg
J. Hasselgren
Tianchang Shen
Jun Gao
Wenzheng Chen
Alex Evans
Thomas Müller
Sanja Fidler
48
371
0
24 Nov 2021
Neural Fields in Visual Computing and Beyond
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
85
618
0
22 Nov 2021
Advances in Neural Rendering
Advances in Neural Rendering
A. Tewari
Justus Thies
B. Mildenhall
P. Srinivasan
E. Tretschk
...
S. Fanello
Jun Zhu
Gordon Wetzstein
Michael Zollhoefer
D. B. Goldman
3DH
AI4CE
76
446
0
10 Nov 2021
DIB-R++: Learning to Predict Lighting and Material with a Hybrid
  Differentiable Renderer
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen
Joey Litalien
Jun Gao
Zian Wang
Clement Fuji-Tsang
S. Khamis
Or Litany
Sanja Fidler
3DV
25
56
0
30 Oct 2021
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Mark Boss
Varun Jampani
Raphael Braun
Ce Liu
Jonathan T. Barron
Hendrik P. A. Lensch
36
208
0
27 Oct 2021
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for
  Multi-view Reconstruction
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang
Lingjie Liu
Yuan Liu
Christian Theobalt
Taku Komura
Wenping Wang
47
1,686
0
20 Jun 2021
NeRFactor: Neural Factorization of Shape and Reflectance Under an
  Unknown Illumination
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
Xiuming Zhang
Pratul P. Srinivasan
Boyang Deng
P. Debevec
William T. Freeman
Jonathan T. Barron
DiffM
27
155
0
03 Jun 2021
Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and
  View Synthesis
Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis
Julian Knodt
Joe Bartusek
Seung-Hwan Baek
Felix Heide
20
15
0
28 Apr 2021
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo
  Rendering
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
Fujun Luan
Shuang Zhao
Kavita Bala
Zhao Dong
3DV
38
107
0
28 Mar 2021
NeRD: Neural Reflectance Decomposition from Image Collections
NeRD: Neural Reflectance Decomposition from Image Collections
Mark Boss
Raphael Braun
Varun Jampani
Jonathan T. Barron
Ce Liu
Hendrik P. A. Lensch
29
508
0
07 Dec 2020
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