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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

Neural Information Processing Systems (NeurIPS), 2025
18 June 2020
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
ArXiv (abs)PDFHTML

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

50 / 1,619 papers shown
Title
On Memorization in Diffusion Models
On Memorization in Diffusion Models
Xiangming Gu
Chao Du
Tianyu Pang
Chongxuan Li
Min Lin
Ye Wang
DiffMTDI
414
73
0
21 Feb 2025
Feedforward Few-shot Species Range Estimation
Feedforward Few-shot Species Range Estimation
Christian Lange
Max Hamilton
Elijah Cole
Alexander Shepard
Samuel Heinrich
Angela Zhu
Subhransu Maji
Grant Van Horn
Oisin Mac Aodha
187
2
0
20 Feb 2025
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding
Weikang Qiu
Zheng Huang
Haoyu Hu
Aosong Feng
Yujun Yan
Rex Ying
173
6
0
18 Feb 2025
MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction
MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction
Jingcheng Ni
Yuxin Guo
Yichen Liu
Rui Chen
Lewei Lu
Z. Wu
DiffMVGen
193
9
0
17 Feb 2025
Single-Step Consistent Diffusion Samplers
Single-Step Consistent Diffusion Samplers
Pascal Jutras-Dubé
Patrick Pynadath
Ruqi Zhang
DiffM
215
0
0
17 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINNAI4CE
232
11
0
13 Feb 2025
CDM: Contact Diffusion Model for Multi-Contact Point Localization
Seo Wook Han
Min Jun Kim
DiffM
80
0
0
10 Feb 2025
Kolmogorov-Arnold Fourier Networks
Kolmogorov-Arnold Fourier Networks
Jusheng Zhang
Yijia Fan
Kaitong Cai
Keze Wang
125
0
0
09 Feb 2025
Deep Ritz method with Fourier feature mapping: A deep learning approach for solving variational models of microstructure
Deep Ritz method with Fourier feature mapping: A deep learning approach for solving variational models of microstructure
Ensela Mema
Ting Wang
Jaroslaw Knap
147
1
0
08 Feb 2025
Every Angle Is Worth A Second Glance: Mining Kinematic Skeletal Structures from Multi-view Joint Cloud
Every Angle Is Worth A Second Glance: Mining Kinematic Skeletal Structures from Multi-view Joint Cloud
Junkun Jiang
Jie Chen
Ho Yin Au
Mingyuan Chen
Wei Xue
Yike Guo
58
0
0
05 Feb 2025
Density Ratio Estimation with Conditional Probability Paths
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
Arto Klami
Aapo Hyvarinen
Anna Korba
Omar Chehab
239
2
0
04 Feb 2025
Geometric Neural Process Fields
Geometric Neural Process Fields
Wenzhe Yin
Zehao Xiao
Jiayi Shen
Yunlu Chen
Cees G. M. Snoek
Jan-Jakob Sonke
E. Gavves
AI4CE
204
0
0
04 Feb 2025
Regularized interpolation in 4D neural fields enables optimization of 3D printed geometries
Regularized interpolation in 4D neural fields enables optimization of 3D printed geometries
Christos Margadji
Andi Kuswoyo
Sebastian W. Pattinson
AI4CE
105
1
0
03 Feb 2025
Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation
Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation
Yue Chang
Mengfei Liu
Zhecheng Wang
Julius Berner
E. Grinspun
AI4CE
211
0
0
02 Feb 2025
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sizhuang He
Ananyae Kumar Bhartari
Bowen Li
P. Perdikaris
PINN
221
25
0
02 Feb 2025
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation
STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation
Alireza Morsali
MohammadJavad Vaez
Mohammadhossein Soltani
Amirhossein Kazerouni
Babak Taati
Morteza Mohammad-Noori
653
1
0
02 Feb 2025
On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs
On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs
Juan Daniel Meshir
Abel Palafox
Edgar Alejandro Guerrero
225
4
0
01 Feb 2025
Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems
Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems
Girnar Goyal
Philipp Holl
Sweta Agrawal
Nils Thuerey
AI4CE
122
0
0
27 Jan 2025
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
Jianing Yang
Alexander Sax
Kevin J. Liang
Mikael Henaff
Hao Tang
Ang Cao
J. Chai
Franziska Meier
Matt Feiszli
3DGS
400
96
0
23 Jan 2025
Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization
Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization
Yoshiki Masuyama
Gordon Wichern
François Germain
Christopher Ick
Jonathan Le Roux
151
3
0
22 Jan 2025
Generating visual explanations from deep networks using implicit neural representations
Generating visual explanations from deep networks using implicit neural representations
Michal Byra
Henrik Skibbe
GANFAtt
137
0
0
20 Jan 2025
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
Tong Nie
Wei Ma
Jian Sun
Yu Yang
Jiannong Cao
AI4TSAI4CE
129
0
0
20 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Jialong Guo
Ke Liu
Jiangchao Yao
Zhihua Wang
Jiajun Bu
Haishuai Wang
AI4TS
165
3
0
20 Jan 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Yu Yang
Jianbiao Mei
Yukai Ma
Siliang Du
Wenqing Chen
Yijie Qian
Yuxiang Feng
Yong Liu
275
26
0
20 Jan 2025
Solving Infinite-Player Games with Player-to-Strategy Networks
Solving Infinite-Player Games with Player-to-Strategy Networks
Carlos Martin
Tuomas Sandholm
133
0
0
17 Jan 2025
Score-based 3D molecule generation with neural fields
Score-based 3D molecule generation with neural fields
Matthieu Kirchmeyer
Pedro H. O. Pinheiro
Saeed Saremi
DiffM
213
2
0
15 Jan 2025
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
Weixi Feng
Chao Liu
Sifei Liu
William Yang Wang
Arash Vahdat
Weili Nie
VGenDiffM
82
8
0
13 Jan 2025
Pointmap-Conditioned Diffusion for Consistent Novel View Synthesis
Thang-Anh-Quan Nguyen
Nathan Piasco
Luis Roldão
Moussâb Bennehar
D. Tsishkou
Laurent Caraffa
J. Tarel
R. Brémond
DiffM
137
2
0
06 Jan 2025
SNeRV: Spectra-preserving Neural Representation for Video
SNeRV: Spectra-preserving Neural Representation for Video
Jina Kim
Jihoo Lee
Je-Won Kang
174
6
0
03 Jan 2025
NeurTV: Total Variation on the Neural Domain
NeurTV: Total Variation on the Neural Domain
Yisi Luo
Xile Zhao
Kai Ye
Deyu Meng
162
4
0
03 Jan 2025
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics
Andrew Gracyk
DRL
333
1
0
03 Jan 2025
Hierarchical Pose Estimation and Mapping with Multi-Scale Neural Feature Fields
Hierarchical Pose Estimation and Mapping with Multi-Scale Neural Feature Fields
Evgenii Kruzhkov
A. Savinykh
Sven Behnke
3DV
97
0
0
31 Dec 2024
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors:
  Diverse-Resolution Training Outperforms Interpolation
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation
Anselm Krainovic
Stefan Ruschke
Reinhard Heckel
MedIm
105
1
0
24 Dec 2024
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction
Xuying Zhang
Yutong Liu
Yangguang Li
Renrui Zhang
Yong Liu
...
Wanli Ouyang
Zhiwei Xiong
Shiyang Feng
Qibin Hou
Ming-Ming Cheng
346
4
0
22 Dec 2024
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
Longji Xu
Hongyuan Wang
Lizhi Wang
Xinyu Wang
Lin Zhu
Wanxuan Lu
Hua Huang
241
2
0
21 Dec 2024
An explainable operator approximation framework under the guideline of Green's function
An explainable operator approximation framework under the guideline of Green's function
Jianghang Gu
Ling Wen
Yuntian Chen
Shiyi Chen
232
0
0
21 Dec 2024
Efficient Object-centric Representation Learning with Pre-trained
  Geometric Prior
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
OCL
178
1
0
16 Dec 2024
CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View
  Diffusion Models
CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models
Felix Taubner
Ruihang Zhang
Mathieu Tuli
David B. Lindell
190
8
0
16 Dec 2024
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained
  Ego-Motion, Object Dynamics, and Scene Composition Control
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
Mariam Hassan
Sebastian Stapf
Ahmad Rahimi
Pedro M B Rezende
Yasaman Haghighi
...
Mathieu Salzmann
Davide Scaramuzza
Marc Pollefeys
Paolo Favaro
Alexandre Alahi
VLMVGen
194
18
0
15 Dec 2024
NeRF-Texture: Synthesizing Neural Radiance Field Textures
NeRF-Texture: Synthesizing Neural Radiance Field Textures
Yi-Hua Huang
Yan-Pei Cao
Yu-Kun Lai
Y. Shan
Lin Gao
218
0
0
13 Dec 2024
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Axel Levy
Rishwanth Raghu
David Shustin
Adele Rui-Yang Peng
Huan Li
Oliver Biggs Clarke
Gordon Wetzstein
Ellen D. Zhong
123
0
0
12 Dec 2024
Enhancing Implicit Neural Representations via Symmetric Power Transformation
Enhancing Implicit Neural Representations via Symmetric Power Transformation
Weixiang Zhang
Shuzhao Xie
Chengwei Ren
Shijia Ge
Mingzi Wang
Zhi Wang
236
2
0
12 Dec 2024
Modelling Mosquito Population Dynamics using PINN-derived Empirical Parameters
Modelling Mosquito Population Dynamics using PINN-derived Empirical Parameters
Branislava Lalić
D. V. Cuong
Mina Petrić
Vladimir Pavlovic
Ana Firanj Sremac
M. Roantree
PINN
188
1
0
10 Dec 2024
Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction
Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction
Thomas Walker
Octave Mariotti
A. Vaxman
Hakan Bilen
187
1
0
06 Dec 2024
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage
  Dataset
Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset
Shin Kim
179
0
0
04 Dec 2024
Diffusion models learn distributions generated by complex Langevin
  dynamics
Diffusion models learn distributions generated by complex Langevin dynamics
Diaa E. Habibi
Gert Aarts
Lei Wang
K. Zhou
DiffM
157
3
0
02 Dec 2024
HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Rendering
HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Rendering
Yunzhou Song
Heguang Lin
Jiahui Lei
Lingjie Liu
Kostas Daniilidis
3DGS
182
6
0
02 Dec 2024
Efficient Compression of Sparse Accelerator Data Using Implicit Neural
  Representations and Importance Sampling
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling
Xihaier Luo
Samuel Lurvey
Yi Huang
Zhongjing Jiang
Jin-zhi Huang
Byung-Jun Yoon
133
0
0
02 Dec 2024
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel
  Service Industry
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry
Thomas Bruys
Reza Zandehshahvar
Amira Hijazi
Pascal Van Hentenryck
144
3
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26 Nov 2024
Quark: Real-time, High-resolution, and General Neural View Synthesis
Quark: Real-time, High-resolution, and General Neural View Synthesis
John Flynn
Michael Broxton
Lukas Murmann
Lucy Chai
Matthew DuVall
...
Supreeth Achar
Kira Prabhu
Tiancheng Sun
Lynn Tsai
Ryan S. Overbeck
188
7
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25 Nov 2024
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