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S3IM: Stochastic Structural SIMilarity and Its Unreasonable
  Effectiveness for Neural Fields

S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields

14 August 2023
Zeke Xie
Xindi Yang
Yujie Yang
Qingyan Sun
Yi Jiang
Haoran Wang
Yunfeng Cai
Mingming Sun
ArXivPDFHTML

Papers citing "S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields"

16 / 16 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
194
30,069
0
01 Mar 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
Alex Evans
Christoph Schied
A. Keller
272
3,970
0
16 Jan 2022
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from
  Sparse Inputs
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Michael Niemeyer
Jonathan T. Barron
B. Mildenhall
Mehdi S. M. Sajjadi
Andreas Geiger
Noha Radwan
93
590
0
01 Dec 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
141
623
0
22 Nov 2021
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance
  Fields Reconstruction
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
Cheng Sun
Min Sun
Hwann-Tzong Chen
108
1,063
0
22 Nov 2021
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for
  Multi-View Reconstruction
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle
Songyou Peng
Andreas Geiger
93
741
0
20 Apr 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
77
1,945
0
24 Mar 2021
NeRF++: Analyzing and Improving Neural Radiance Fields
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang
Gernot Riegler
Noah Snavely
V. Koltun
71
1,035
0
15 Oct 2020
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
249
1,261
0
22 Jul 2020
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH
3DV
64
989
0
16 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
191
3,803
0
12 Jul 2019
The Replica Dataset: A Digital Replica of Indoor Spaces
The Replica Dataset: A Digital Replica of Indoor Spaces
Julian Straub
Thomas Whelan
Lingni Ma
Yufan Chen
Erik Wijmans
...
H. Strasdat
R. D. Nardi
Michael Goesele
S. Lovegrove
Richard Newcombe
3DV
112
844
0
13 Jun 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
79
1,802
0
10 Apr 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
304
11,610
0
11 Jan 2018
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
98
3,005
0
19 Oct 2017
A Review Paper: Noise Models in Digital Image Processing
A Review Paper: Noise Models in Digital Image Processing
A. Boyat
B. K. Joshi
43
374
0
13 May 2015
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