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Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

18 June 2020
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
ArXivPDFHTML

Papers citing "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains"

50 / 1,458 papers shown
Title
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
36
477
0
08 Mar 2021
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields
  using Depth Oracle Networks
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
Thomas Neff
P. Stadlbauer
Mathias Parger
A. Kurz
J. H. Mueller
C. R. A. Chaitanya
Anton Kaplanyan
M. Steinberger
25
294
0
04 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
48
973
0
04 Mar 2021
Shift Invariance Can Reduce Adversarial Robustness
Shift Invariance Can Reduce Adversarial Robustness
Songwei Ge
Vasu Singla
Ronen Basri
David Jacobs
AAML
OOD
13
26
0
03 Mar 2021
COIN: COmpression with Implicit Neural representations
COIN: COmpression with Implicit Neural representations
Emilien Dupont
Adam Goliñski
Milad Alizadeh
Yee Whye Teh
Arnaud Doucet
6
223
0
03 Mar 2021
IBRNet: Learning Multi-View Image-Based Rendering
IBRNet: Learning Multi-View Image-Based Rendering
Qianqian Wang
Zhicheng Wang
Kyle Genova
Pratul P. Srinivasan
Howard Zhou
Jonathan T. Barron
Ricardo Martín Brualla
Noah Snavely
Thomas Funkhouser
3DV
46
776
0
25 Feb 2021
NTopo: Mesh-free Topology Optimization using Implicit Neural
  Representations
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
Jonas Zehnder
Yue Li
Stelian Coros
B. Thomaszewski
AI4CE
11
58
0
22 Feb 2021
High-order Differentiable Autoencoder for Nonlinear Model Reduction
High-order Differentiable Autoencoder for Nonlinear Model Reduction
Siyuan Shen
Yin Yang
Tianjia Shao
He-Nan Wang
Chenfanfu Jiang
L. Lan
Kun Zhou
PINN
AI4CE
11
48
0
19 Feb 2021
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape,
  Appearance, and Pose
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Shih-Yang Su
Frank Yu
Michael Zollhoefer
Helge Rhodin
3DH
151
252
0
11 Feb 2021
SWAGAN: A Style-based Wavelet-driven Generative Model
SWAGAN: A Style-based Wavelet-driven Generative Model
Rinon Gal
Dana Cohen
Amit H. Bermano
Daniel Cohen-Or
GAN
55
36
0
11 Feb 2021
Generative Models as Distributions of Functions
Generative Models as Distributions of Functions
Emilien Dupont
Yee Whye Teh
Arnaud Doucet
16
103
0
09 Feb 2021
CKConv: Continuous Kernel Convolution For Sequential Data
CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero
Anna Kuzina
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
12
123
0
04 Feb 2021
Towards Generalising Neural Implicit Representations
Towards Generalising Neural Implicit Representations
Theo W. Costain
V. Prisacariu
31
2
0
29 Jan 2021
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D
  Shapes
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa
Joey Litalien
K. Yin
Karsten Kreis
Charles T. Loop
Derek Nowrouzezahrai
Alec Jacobson
M. McGuire
Sanja Fidler
3DV
11
511
0
26 Jan 2021
Reproducing Activation Function for Deep Learning
Reproducing Activation Function for Deep Learning
Senwei Liang
Liyao Lyu
Chunmei Wang
Haizhao Yang
28
21
0
13 Jan 2021
Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians
Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians
Ivan Skorokhodov
6
1
0
24 Dec 2020
Focal Frequency Loss for Image Reconstruction and Synthesis
Focal Frequency Loss for Image Reconstruction and Synthesis
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
44
261
0
23 Dec 2020
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in
  Motion with Neural Rendering
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering
Wentao Yuan
Zhaoyang Lv
Tanner Schmidt
S. Lovegrove
8
90
0
22 Dec 2020
ShineOn: Illuminating Design Choices for Practical Video-based Virtual
  Clothing Try-on
ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on
Gaurav Kuppa
Andrew Jong
Vera Liu
Ziwei Liu
Teng-Sheng Moh
CVBM
11
19
0
18 Dec 2020
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sifan Wang
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
O. Hennigh
S. Narasimhan
M. A. Nabian
Akshay Subramaniam
Kaustubh Tangsali
M. Rietmann
J. Ferrandis
Wonmin Byeon
Z. Fang
S. Choudhry
PINN
AI4CE
91
126
0
14 Dec 2020
Positional Encoding as Spatial Inductive Bias in GANs
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
25
89
0
09 Dec 2020
NeRV: Neural Reflectance and Visibility Fields for Relighting and View
  Synthesis
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
Pratul P. Srinivasan
Boyang Deng
Xiuming Zhang
Matthew Tancik
B. Mildenhall
Jonathan T. Barron
27
596
0
07 Dec 2020
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
8
507
0
07 Dec 2020
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar
  Reconstruction
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
G. Gafni
Justus Thies
Michael Zollhöfer
Matthias Nießner
3DH
35
504
0
05 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural
  Representations
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Matthew Tancik
B. Mildenhall
Terrance Wang
Divi Schmidt
Pratul P. Srinivasan
Jonathan T. Barron
Ren Ng
6
283
0
03 Dec 2020
Vehicle Reconstruction and Texture Estimation Using Deep Implicit
  Semantic Template Mapping
Vehicle Reconstruction and Texture Estimation Using Deep Implicit Semantic Template Mapping
Xiaochen Zhao
Zerong Zheng
Chaonan Ji
Zhenyi Liu
Yirui Luo
Tao Yu
J. Suo
Yebin Liu
3DV
8
2
0
30 Nov 2020
RGBD-Net: Predicting color and depth images for novel views synthesis
RGBD-Net: Predicting color and depth images for novel views synthesis
Phong H. Nguyen
Animesh Karnewar
Lam Huynh
Esa Rahtu
Jirí Matas
J. Heikkilä
3DV
16
15
0
29 Nov 2020
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
Tarun Yenamandra
A. Tewari
Florian Bernard
Hans-Peter Seidel
Mohamed A. Elgharib
Daniel Cremers
Christian Theobalt
3DH
13
121
0
28 Nov 2020
Unsupervised part representation by Flow Capsules
Unsupervised part representation by Flow Capsules
S. Sabour
Andrea Tagliasacchi
S. Yazdani
Geoffrey E. Hinton
David J. Fleet
3DPC
OCL
22
37
0
27 Nov 2020
Image Generators with Conditionally-Independent Pixel Synthesis
Image Generators with Conditionally-Independent Pixel Synthesis
Ivan Anokhin
K. Demochkin
Taras Khakhulin
Gleb Sterkin
Victor Lempitsky
Denis Korzhenkov
16
156
0
27 Nov 2020
Neural-Pull: Learning Signed Distance Functions from Point Clouds by
  Learning to Pull Space onto Surfaces
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Baorui Ma
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
3DPC
25
153
0
26 Nov 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
8
6,030
0
26 Nov 2020
Nerfies: Deformable Neural Radiance Fields
Nerfies: Deformable Neural Radiance Fields
Keunhong Park
U. Sinha
Jonathan T. Barron
Sofien Bouaziz
Dan B. Goldman
S. M. Seitz
Ricardo Martín Brualla
3DH
76
1,107
0
25 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature
  Fields
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Michael Niemeyer
Andreas Geiger
OCL
49
955
0
24 Nov 2020
Adversarial Generation of Continuous Images
Adversarial Generation of Continuous Images
Ivan Skorokhodov
Savva Ignatyev
Mohamed Elhoseiny
GAN
11
170
0
24 Nov 2020
Neural Scene Graphs for Dynamic Scenes
Neural Scene Graphs for Dynamic Scenes
Julian Ost
Fahim Mannan
Nils Thuerey
Julian Knodt
Felix Heide
GNN
OCL
AI4CE
8
297
0
20 Nov 2020
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal
  Graph Convolutional Networks
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks
Videsh Suman
Phu-Cuong Pham
Aniket Bera
GNN
6
4
0
17 Nov 2020
Transformers for One-Shot Visual Imitation
Transformers for One-Shot Visual Imitation
Sudeep Dasari
Abhinav Gupta
LM&Ro
29
90
0
11 Nov 2020
Frequency-compensated PINNs for Fluid-dynamic Design Problems
Frequency-compensated PINNs for Fluid-dynamic Design Problems
Tongtao Zhang
Biswadip Dey
P. Kakkar
A. Dasgupta
Amit Chakraborty
PINN
AI4CE
17
8
0
03 Nov 2020
Learning to Embed Categorical Features without Embedding Tables for
  Recommendation
Learning to Embed Categorical Features without Embedding Tables for Recommendation
Wang-Cheng Kang
D. Cheng
Tiansheng Yao
Xinyang Yi
Ting-Li Chen
Lichan Hong
Ed H. Chi
LMTD
CML
DML
43
68
0
21 Oct 2020
NeRF++: Analyzing and Improving Neural Radiance Fields
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang
Gernot Riegler
Noah Snavely
V. Koltun
11
1,024
0
15 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Mahyar Khayatkhoei
Ahmed Elgammal
GAN
8
45
0
04 Oct 2020
Global Adaptive Filtering Layer for Computer Vision
Global Adaptive Filtering Layer for Computer Vision
Viktor Shipitsin
Iaroslav Bespalov
Dmitry V. Dylov
12
6
0
02 Oct 2020
Extreme Memorization via Scale of Initialization
Extreme Memorization via Scale of Initialization
Harsh Mehta
Ashok Cutkosky
Behnam Neyshabur
12
20
0
31 Aug 2020
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo
  Collections
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martín Brualla
Noha Radwan
Mehdi S. M. Sajjadi
Jonathan T. Barron
Alexey Dosovitskiy
Daniel Duckworth
9
1,459
0
05 Aug 2020
When and why PINNs fail to train: A neural tangent kernel perspective
When and why PINNs fail to train: A neural tangent kernel perspective
Sifan Wang
Xinling Yu
P. Perdikaris
6
871
0
28 Jul 2020
Bayesian Deep Ensembles via the Neural Tangent Kernel
Bayesian Deep Ensembles via the Neural Tangent Kernel
Bobby He
Balaji Lakshminarayanan
Yee Whye Teh
BDL
UQCV
9
116
0
11 Jul 2020
Gradient Origin Networks
Gradient Origin Networks
Sam Bond-Taylor
Chris G. Willcocks
BDL
DRL
8
18
0
06 Jul 2020
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks
Francis Williams
Matthew Trager
Joan Bruna
Denis Zorin
11
67
0
24 Jun 2020
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