ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.10739
  4. Cited By
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
Exploring Seasonal Variability in the Context of Neural Radiance Fields
  for 3D Reconstruction on Satellite Imagery
Exploring Seasonal Variability in the Context of Neural Radiance Fields for 3D Reconstruction on Satellite Imagery
Liv Kåreborn
Erica Ingerstad
Amanda Berg
Justus Karlsson
Leif Haglund
22
0
0
05 Nov 2024
Conformalized Prediction of Post-Fault Voltage Trajectories Using
  Pre-trained and Finetuned Attention-Driven Neural Operators
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators
Amirhossein Mollaali
Gabriel Zufferey
Gonzalo E. Constante-Flores
Christian Moya
Can Li
Guang Lin
Meng Yue
42
1
0
31 Oct 2024
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map
Xinyuan Chang
Maixuan Xue
Xinran Liu
Zheng Pan
Xing Wei
40
1
0
31 Oct 2024
Does equivariance matter at scale?
Does equivariance matter at scale?
Johann Brehmer
S. Behrends
P. D. Haan
Taco S. Cohen
42
10
0
30 Oct 2024
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for
  Skillful Precipitation Nowcasting
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
Chiu-Wai Yan
Shi Quan Foo
Van Hoan Trinh
Dit-Yan Yeung
Ka-Hing Wong
W. Wong
32
1
0
30 Oct 2024
Predicting the Encoding Error of SIRENs
Predicting the Encoding Error of SIRENs
Jeremy Vonderfecht
Feng Liu
AI4CE
40
3
0
29 Oct 2024
Neural Experts: Mixture of Experts for Implicit Neural Representations
Neural Experts: Mixture of Experts for Implicit Neural Representations
Yizhak Ben-Shabat
Chamin Pasidu Hewa Koneputugodage
Sameera Ramasinghe
Stephen Gould
16
0
0
29 Oct 2024
On learning higher-order cumulants in diffusion models
On learning higher-order cumulants in diffusion models
Gert Aarts
Diaa E. Habibi
L. Wang
K. Zhou
26
4
0
28 Oct 2024
Plastic Learning with Deep Fourier Features
Plastic Learning with Deep Fourier Features
Alex Lewandowski
Dale Schuurmans
Marlos C. Machado
CLL
42
3
0
27 Oct 2024
Neural Fields in Robotics: A Survey
Neural Fields in Robotics: A Survey
Muhammad Zubair Irshad
Mauro Comi
Yen-Chen Lin
Nick Heppert
Abhinav Valada
Rares Ambrus
Z. Kira
Jonathan Tremblay
AI4CE
43
3
0
26 Oct 2024
A neural network approach for solving the Monge-Ampère equation with
  transport boundary condition
A neural network approach for solving the Monge-Ampère equation with transport boundary condition
Roel Hacking
Lisa Kusch
Koondanibha Mitra
M. Anthonissen
W. IJzerman
21
0
0
25 Oct 2024
ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior
  Embedding for Patient-specific Imaging Study
ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior Embedding for Patient-specific Imaging Study
Liang Qiu
Liyue Shen
Lianli Liu
Junyan Liu
Yizheng Chen
Lei Xing
33
1
0
25 Oct 2024
Few-shot NeRF by Adaptive Rendering Loss Regularization
Few-shot NeRF by Adaptive Rendering Loss Regularization
Qingshan Xu
Xuanyu Yi
Jianyao Xu
Wenbing Tao
Yew-Soon Ong
Hanwang Zhang
22
6
0
23 Oct 2024
MvDrag3D: Drag-based Creative 3D Editing via Multi-view
  Generation-Reconstruction Priors
MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors
Honghua Chen
Yushi Lan
Yongwei Chen
Yifan Zhou
Xingang Pan
DiffM
3DGS
28
4
0
21 Oct 2024
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep
  Learning
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
Ronglong Fang
Yuesheng Xu
24
3
0
21 Oct 2024
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Di Zeng
Ling Zheng
Xiantong Yang
Yinong Li
26
0
0
21 Oct 2024
Upsampling DINOv2 features for unsupervised vision tasks and weakly
  supervised materials segmentation
Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
Ronan Docherty
Antonis Vamvakeros
Samuel J. Cooper
31
1
0
20 Oct 2024
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural
  Representations
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations
Kexuan Shi
Hai Chen
Leheng Zhang
Shuhang Gu
28
1
0
17 Oct 2024
Radon Implicit Field Transform (RIFT): Learning Scenes from Radar
  Signals
Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals
Daqian Bao
Alex Saad-Falcon
J. Romberg
24
0
0
16 Oct 2024
Optimizing 3D Geometry Reconstruction from Implicit Neural
  Representations
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
Shen Fan
Przemyslaw Musialski
AI4CE
19
0
0
16 Oct 2024
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
Adrienne M. Propp
Daniel M. Tartakovsky
AI4CE
26
2
0
16 Oct 2024
Resolution Enhancement of Under-sampled Photoacoustic Microscopy Images
  using Implicit Neural Representations
Resolution Enhancement of Under-sampled Photoacoustic Microscopy Images using Implicit Neural Representations
Youshen Xiao
Sheng Liao
Xuanyang Tian
Fan Zhang
Xinlong Dong
Yunhui Jiang
X. Chen
Ruixi Sun
Yuyao Zhang
Fei Gao
28
0
0
15 Oct 2024
The Ingredients for Robotic Diffusion Transformers
The Ingredients for Robotic Diffusion Transformers
Sudeep Dasari
Oier Mees
Sebastian Zhao
M. K. Srirama
Sergey Levine
48
20
0
14 Oct 2024
Physics-informed Neural Mapping and Motion Planning in Unknown
  Environments
Physics-informed Neural Mapping and Motion Planning in Unknown Environments
Yuchen Liu
Ruiqi Ni
A. H. Qureshi
26
2
0
13 Oct 2024
Interactive4D: Interactive 4D LiDAR Segmentation
Interactive4D: Interactive 4D LiDAR Segmentation
Ilya Fradlin
Idil Esen Zulfikar
Kadir Yilmaz
Theodora Kontogianni
Bastian Leibe
47
1
0
10 Oct 2024
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Songming Liu
Lingxuan Wu
Bangguo Li
Hengkai Tan
Huayu Chen
Zhengyi Wang
Ke Xu
Hang Su
Jun Zhu
29
75
0
10 Oct 2024
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed
  Methods
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods
Lise Le Boudec
Emmanuel de Bezenac
Louis Serrano
Ramon Daniel Regueiro-Espino
Yuan Yin
Patrick Gallinari
AI4CE
30
2
0
09 Oct 2024
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression
Aku Kammonen
Anamika Pandey
E. von Schwerin
Raúl Tempone
29
0
0
08 Oct 2024
PH-Dropout: Practical Epistemic Uncertainty Quantification for View
  Synthesis
PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis
Chuanhao Sun
Thanos Triantafyllou
Anthos Makris
Maja Drmač
Kai Xu
Luo Mai
Mahesh Marina
28
0
0
07 Oct 2024
Implicitly Learned Neural Phase Functions for Basis-Free Point Spread Function Engineering
Implicitly Learned Neural Phase Functions for Basis-Free Point Spread Function Engineering
Aleksey Valouev
18
0
0
07 Oct 2024
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
Adam Kania
Marko Mihajlovic
Sergey Prokudin
Jacek Tabor
Przemysław Spurek
18
1
0
07 Oct 2024
H-SIREN: Improving implicit neural representations with hyperbolic
  periodic functions
H-SIREN: Improving implicit neural representations with hyperbolic periodic functions
Rui Gao
R. Jaiman
AI4CE
31
2
0
07 Oct 2024
Neural Fourier Modelling: A Highly Compact Approach to Time-Series
  Analysis
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis
Minjung Kim
Yusuke Hioka
Michael Witbrock
AI4TS
21
0
0
07 Oct 2024
SegINR: Segment-wise Implicit Neural Representation for Sequence
  Alignment in Neural Text-to-Speech
SegINR: Segment-wise Implicit Neural Representation for Sequence Alignment in Neural Text-to-Speech
Minchan Kim
Myeonghun Jeong
Joun Yeop Lee
Nam Soo Kim
16
0
0
07 Oct 2024
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Taesun Yeom
Sangyoon Lee
Jaeho Lee
53
2
0
07 Oct 2024
End-to-End Reaction Field Energy Modeling via Deep Learning based
  Voxel-to-voxel Transform
End-to-End Reaction Field Energy Modeling via Deep Learning based Voxel-to-voxel Transform
Yongxian Wu
Qiang Zhu
Ray Luo
16
0
0
04 Oct 2024
Refinement of Monocular Depth Maps via Multi-View Differentiable
  Rendering
Refinement of Monocular Depth Maps via Multi-View Differentiable Rendering
Laura Fink
Linus Franke
Joachim Keinert
Marc Stamminger
MDE
3DV
31
0
0
04 Oct 2024
HyResPINNs: Hybrid Residual Networks for Adaptive Neural and RBF Integration in Solving PDEs
HyResPINNs: Hybrid Residual Networks for Adaptive Neural and RBF Integration in Solving PDEs
Madison Cooley
Robert M. Kirby
Shandian Zhe
Varun Shankar
PINN
AI4CE
23
0
0
04 Oct 2024
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Madison Cooley
Varun Shankar
Robert M. Kirby
Shandian Zhe
22
2
0
04 Oct 2024
FAN: Fourier Analysis Networks
FAN: Fourier Analysis Networks
Yihong Dong
Ge Li
Yongding Tao
Xue Jiang
Kechi Zhang
Jia Li
Jing Su
Jing Su
Jun Zhang
Jingjing Xu
AI4TS
13
4
0
03 Oct 2024
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Leonardo Ferreira Guilhoto
P. Perdikaris
38
7
0
02 Oct 2024
Coordinate-Based Neural Representation Enabling Zero-Shot Learning for
  3D Multiparametric Quantitative MRI
Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI
Guoyan Lao
Ruimin Feng
Haikun Qi
Zhenfeng Lv
Qiangqiang Liu
Chunlei Liu
Yuyao Zhang
Hongjiang Wei
28
0
0
02 Oct 2024
Towards Native Generative Model for 3D Head Avatar
Towards Native Generative Model for 3D Head Avatar
Yiyu Zhuang
Yuxiao He
Jiawei Zhang
Yanwen Wang
Jiahe Zhu
Yao Yao
Siyu Zhu
Xun Cao
Hao Zhu
3DH
32
4
0
02 Oct 2024
MiraGe: Editable 2D Images using Gaussian Splatting
MiraGe: Editable 2D Images using Gaussian Splatting
Joanna Waczyñska
Tomasz Szczepanik
Piotr Borycki
S. Tadeja
Thomas Bohné
P. Spurek
3DGS
52
3
0
02 Oct 2024
On the expressiveness and spectral bias of KANs
On the expressiveness and spectral bias of KANs
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
32
9
0
02 Oct 2024
Scene Graph Disentanglement and Composition for Generalizable Complex
  Image Generation
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
Yunnan Wang
Ziqiang Li
Zequn Zhang
Wenyao Zhang
Baao Xie
Xihui Liu
Wenjun Zeng
Xin Jin
CoGe
DiffM
21
2
0
01 Oct 2024
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
Jian Yang
Xukun Wang
Wentao Wang
Guoming Li
Qihang Fang
Ruihong Yuan
Tianyang Wang
Jason Zhaoxin Fan
Yeying Jin
Zhaoxin Fan
VGen
41
1
0
01 Oct 2024
OPONeRF: One-Point-One NeRF for Robust Neural Rendering
OPONeRF: One-Point-One NeRF for Robust Neural Rendering
Yu Zheng
Yueqi Duan
Kangfu Zheng
Hongru Yan
Jiwen Lu
Jie Zhou
24
0
0
30 Sep 2024
Single-shot reconstruction of three-dimensional morphology of biological
  cells in digital holographic microscopy using a physics-driven neural network
Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network
Jihwan Kim
Youngdo Kim
Hyo Seung Lee
Eunseok Seo
Sang Joon Lee
19
0
0
30 Sep 2024
WildFusion: Multimodal Implicit 3D Reconstructions in the Wild
WildFusion: Multimodal Implicit 3D Reconstructions in the Wild
Yanbaihui Liu
Boyuan Chen
24
0
0
30 Sep 2024
Previous
12345...282930
Next