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NeISF: Neural Incident Stokes Field for Geometry and Material Estimation

NeISF: Neural Incident Stokes Field for Geometry and Material Estimation

22 November 2023
Chenhao Li
Taishi Ono
Takeshi Uemori
Hajime Mihara
Alexander Gatto
Hajime Nagahara
Yusuke Moriuchi
ArXivPDFHTML

Papers citing "NeISF: Neural Incident Stokes Field for Geometry and Material Estimation"

4 / 4 papers shown
Title
Inverse Global Illumination using a Neural Radiometric Prior
Inverse Global Illumination using a Neural Radiometric Prior
Saeed Hadadan
Geng Lin
Jan Novák
Fabrice Rousselle
Matthias Zwicker
45
7
0
03 May 2023
Neural Fields meet Explicit Geometric Representation for Inverse
  Rendering of Urban Scenes
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes
Zian Wang
Tianchang Shen
Jun Gao
S. Huang
Jacob Munkberg
J. Hasselgren
Zan Gojcic
Wenzheng Chen
Sanja Fidler
AI4CE
101
86
0
06 Apr 2023
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary
  Image collections
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Mark Boss
Andreas Engelhardt
Abhishek Kar
Yuanzhen Li
Deqing Sun
Jonathan T. Barron
Hendrik P. A. Lensch
Varun Jampani
93
80
0
31 May 2022
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
Zian Wang
Jonah Philion
Sanja Fidler
Jan Kautz
3DV
101
81
0
13 Sep 2021
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