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Implicit Neural Representations with Periodic Activation Functions

Implicit Neural Representations with Periodic Activation Functions

17 June 2020
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
    AI4TS
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Papers citing "Implicit Neural Representations with Periodic Activation Functions"

50 / 541 papers shown
Title
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
96
1
0
18 Nov 2024
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
Benedikt Alkin
Tobias Kronlachner
Samuele Papa
Stefan Pirker
Thomas Lichtenegger
Johannes Brandstetter
PINN
AI4CE
54
1
1
14 Nov 2024
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Nate Gillman
Daksh Aggarwal
Michael Freeman
Saurabh Singh
Chen Sun
AI4TS
43
3
0
29 Oct 2024
Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds
Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds
Chuanxiang Yang
Yuanfeng Zhou
Guangshun Wei
Long Ma
Junhui Hou
Yuan Liu
Wenping Wang
31
0
0
24 Oct 2024
Optimizing 3D Geometry Reconstruction from Implicit Neural
  Representations
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
Shen Fan
Przemyslaw Musialski
AI4CE
21
0
0
16 Oct 2024
EG-HumanNeRF: Efficient Generalizable Human NeRF Utilizing Human Prior
  for Sparse View
EG-HumanNeRF: Efficient Generalizable Human NeRF Utilizing Human Prior for Sparse View
Zhaorong Wang
Yoshihiro Kanamori
Yuki Endo
3DH
29
1
0
16 Oct 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Paula Cordero-Encinar
Tobias Schröder
P. Yatsyshin
Andrew Duncan
45
0
0
15 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
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Taesun Yeom
Sangyoon Lee
Jaeho Lee
55
2
0
07 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
15
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
47
7
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
37
10
0
02 Oct 2024
Active Neural Mapping at Scale
Active Neural Mapping at Scale
Zijia Kuang
Zike Yan
Hao Zhao
Guyue Zhou
Hongbin Zha
30
3
0
30 Sep 2024
Streaming Neural Images
Streaming Neural Images
Marcos V. Conde
Andy Bigos
Radu Timofte
33
0
0
25 Sep 2024
SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image
SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image
Dimitrije Antić
Sai Kumar Dwivedi
Shashank Tripathi
Theo Gevers
Dimitrios Tzionas
Dimitrios Tzionas
55
2
0
24 Sep 2024
Tactile Functasets: Neural Implicit Representations of Tactile Datasets
Tactile Functasets: Neural Implicit Representations of Tactile Datasets
Sikai Li
Samanta Rodriguez
Yiming Dou
Andrew Owens
Nima Fazeli
23
0
0
22 Sep 2024
Implicit Neural Representations for Speed-of-Sound Estimation in
  Ultrasound
Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound
Michal Byra
Piotr Jarosik
P. Karwat
Z. Klimonda
M. Lewandowski
28
1
0
21 Sep 2024
GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling
GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling
Victor Rong
Jingxiang Chen
Sherwin Bahmani
Kiriakos N. Kutulakos
David B. Lindell
3DGS
62
2
0
19 Sep 2024
Monomial Matrix Group Equivariant Neural Functional Networks
Monomial Matrix Group Equivariant Neural Functional Networks
Hoang V. Tran
Thieu N. Vo
Tho H. Tran
An T. Nguyen
Tan M. Nguyen
54
5
0
18 Sep 2024
Learning Transferable Features for Implicit Neural Representations
Learning Transferable Features for Implicit Neural Representations
Kushal Vyas
Ahmed Imtiaz Humayun
Aniket Dashpute
Richard G. Baraniuk
Ashok Veeraraghavan
Guha Balakrishnan
OOD
96
1
0
15 Sep 2024
Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks
Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks
Ali Mehrabian
Parsa Mojarad Adi
Moein Heidari
I. Hacihaliloglu
36
3
0
14 Sep 2024
Expansive Supervision for Neural Radiance Field
Expansive Supervision for Neural Radiance Field
Weixiang Zhang
Shuzhao Xie
Shijia Ge
Wei Yao
Chen Tang
Zhi Wang
41
1
0
12 Sep 2024
NVRC: Neural Video Representation Compression
NVRC: Neural Video Representation Compression
Ho Man Kwan
Ge Gao
Fan Zhang
Andrew Gower
David Bull
28
11
0
11 Sep 2024
A Latent Implicit 3D Shape Model for Multiple Levels of Detail
A Latent Implicit 3D Shape Model for Multiple Levels of Detail
Benoît Guillard
Marc Habermann
Christian Theobalt
Pascal Fua
3DV
51
1
0
10 Sep 2024
Why Rectified Power Unit Networks Fail and How to Improve It: An
  Effective Theory Perspective
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective
Taeyoung Kim
Myungjoo Kang
30
0
0
04 Aug 2024
Neural Network Emulator for Atmospheric Chemical ODE
Neural Network Emulator for Atmospheric Chemical ODE
Zhi-Song Liu
Petri S. Clusius
Michael Boy
42
3
0
03 Aug 2024
Decomposing heterogeneous dynamical systems with graph neural networks
Decomposing heterogeneous dynamical systems with graph neural networks
Cédric Allier
Magdalena C. Schneider
Michael Innerberger
Larissa Heinrich
J. Bogovic
S. Saalfeld
CML
AI4CE
38
0
0
27 Jul 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene
  Representation Network
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Tianyu Xiong
Skylar W. Wurster
Hanqi Guo
Tom Peterka
Han-Wei Shen
UQCV
53
1
0
26 Jul 2024
Revisit Event Generation Model: Self-Supervised Learning of
  Event-to-Video Reconstruction with Implicit Neural Representations
Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations
Zipeng Wang
Yunfan Lu
Lin Wang
VGen
BDL
39
2
0
26 Jul 2024
Spectrum-Informed Multistage Neural Networks: Multiscale Function
  Approximators of Machine Precision
Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision
Jakin Ng
Yongjian Wang
Ching-Yao Lai
38
1
0
24 Jul 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of
  Vector Field Data
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
Atul Kumar
S. Garg
Soumya Dutta
53
0
0
23 Jul 2024
Multiple Importance Sampling for Stochastic Gradient Estimation
Multiple Importance Sampling for Stochastic Gradient Estimation
Corentin Salaün
Xingchang Huang
Iliyan Georgiev
Niloy J. Mitra
Gurprit Singh
29
1
0
22 Jul 2024
Attention Beats Linear for Fast Implicit Neural Representation
  Generation
Attention Beats Linear for Fast Implicit Neural Representation Generation
Shuyi Zhang
Ke Liu
Jingjun Gu
Xiaoxu Cai
Zhihua Wang
Jiajun Bu
Haishuai Wang
45
2
0
22 Jul 2024
Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic
  Human Reconstruction from Monocular Video
Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video
Yiqun Zhao
Chenming Wu
Binbin Huang
Yihao Zhi
Chen Zhao
Jingdong Wang
Shenghua Gao
3DGS
45
7
0
21 Jul 2024
Implicit Filtering for Learning Neural Signed Distance Functions from 3D
  Point Clouds
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
Shengtao Li
G. Gao
Yudong Liu
M. Gu
Yu-Shen Liu
3DPC
43
4
0
18 Jul 2024
Deep Learning without Global Optimization by Random Fourier Neural Networks
Deep Learning without Global Optimization by Random Fourier Neural Networks
Owen Davis
Gianluca Geraci
Mohammad Motamed
BDL
57
0
0
16 Jul 2024
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Qianchao Wang
Shijun Zhang
Dong Zeng
Zhaoheng Xie
Hengtao Guo
Feng-Lei Fan
Tieyong Zeng
39
3
0
12 Jul 2024
Neural Poisson Solver: A Universal and Continuous Framework for Natural
  Signal Blending
Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending
Delong Wu
Hao Zhu
Qi Zhang
You Li
Zhan Ma
X. Cao
28
0
0
11 Jul 2024
Generalizable Implicit Motion Modeling for Video Frame Interpolation
Generalizable Implicit Motion Modeling for Video Frame Interpolation
Zujin Guo
Wei Li
Chen Change Loy
37
2
0
11 Jul 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
Augustine N. Mavor-Parker
Matthew J. Sargent
Caswell Barry
Lewis D. Griffin
Clare Lyle
42
2
0
09 Jul 2024
Variational Partial Group Convolutions for Input-Aware Partial
  Equivariance of Rotations and Color-Shifts
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
Hyunsu Kim
Yegon Kim
Hongseok Yang
Juho Lee
37
0
0
05 Jul 2024
Image-GS: Content-Adaptive Image Representation via 2D Gaussians
Image-GS: Content-Adaptive Image Representation via 2D Gaussians
Yunxiang Zhang
Bingxuan Li
Alexandr Kuznetsov
Akshay Jindal
Stavros Diolatzis
Kenneth Chen
Anton Sochenov
Anton Kaplanyan
Qi Sun
3DGS
84
4
0
02 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning
SE(3)-Hyena Operator for Scalable Equivariant Learning
Artem Moskalev
Mangal Prakash
Rui Liao
Tommaso Mansi
46
2
0
01 Jul 2024
Enhancing Accuracy and Parameter-Efficiency of Neural Representations
  for Network Parameterization
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
Hongjun Choi
Jayaraman J. Thiagarajan
Ruben Glatt
Shusen Liu
43
0
0
29 Jun 2024
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering
NeRF-Feat: 6D Object Pose Estimation using Feature Rendering
Shishir Reddy Vutukur
Heike Brock
Benjamin Busam
Tolga Birdal
Andreas Hutter
Slobodan Ilic
38
5
0
19 Jun 2024
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Baptiste Chatelier
Vincent Corlay
M. Crussiére
Luc Le Magoarou
31
1
0
17 Jun 2024
Uncertainty modeling for fine-tuned implicit functions
Uncertainty modeling for fine-tuned implicit functions
A. Susmelj
Mael Macuglia
Nataša Tagasovska
Reto Sutter
Sebastiano Caprara
Jean-Philippe Thiran
E. Konukoglu
70
1
0
17 Jun 2024
1-Lipschitz Neural Distance Fields
1-Lipschitz Neural Distance Fields
Guillaume Coiffier
Louis Bethune
43
3
0
14 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
David R. Wessels
David M. Knigge
Samuele Papa
Riccardo Valperga
Sharvaree P. Vadgama
E. Gavves
Erik J. Bekkers
47
7
0
09 Jun 2024
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