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STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation
v1v2 (latest)

STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation

2 February 2025
Alireza Morsali
MohammadJavad Vaez
Mohammadhossein Soltani
Amirhossein Kazerouni
Babak Taati
Morteza Mohammad-Noori
Author Contacts:
alireza.morsali@mail.mcgill.camjvaez@ut.ac.irmohammad.hossein19soltani@gmail.comamirhossein@cs.toronto.edubabak.taati@uhn.cammnoori@ut.ac.ir
ArXiv (abs)PDFHTML

Papers citing "STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation"

36 / 36 papers shown
Title
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
Amirhossein Kazerouni
Soroush Mehraban
Michael Brudno
Babak Taati
90
2
0
19 Mar 2025
Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential
Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential
Shijun Zhang
Hongkai Zhao
Yimin Zhong
Haomin Zhou
82
0
0
26 Feb 2025
How Far Can We Compress Instant-NGP-Based NeRF?
How Far Can We Compress Instant-NGP-Based NeRF?
Yihang Chen
Qianyi Wu
Mehrtash Harandi
Jianfei Cai
60
18
0
06 Jun 2024
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient
  Architecture for Nonlinear Function Approximation
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation
SS Sidharth
Keerthana AR
R. Gokul
Anas KP
112
85
0
12 May 2024
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
240
549
0
30 Apr 2024
NeRF-XL: Scaling NeRFs with Multiple GPUs
NeRF-XL: Scaling NeRFs with Multiple GPUs
Ruilong Li
Sanja Fidler
Angjoo Kanazawa
Francis Williams
57
9
0
24 Apr 2024
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple
  Super-Resolution Pipeline
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline
Chien-Yu Lin
Qichen Fu
Thomas Merth
Karren D. Yang
Anurag Ranjan
68
11
0
15 Dec 2023
FINER: Flexible spectral-bias tuning in Implicit NEural Representation
  by Variable-periodic Activation Functions
FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions
Zhen Liu
Hao Zhu
Qi Zhang
Jingde Fu
Weibing Deng
Zhan Ma
Yanwen Guo
Xun Cao
90
34
0
05 Dec 2023
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
Mikaela Angelina Uy
Kiyohiro Nakayama
Guandao Yang
Rahul Krishna Thomas
Leonidas Guibas
Ke Li
45
11
0
31 Oct 2023
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
Amirhossein Kazerouni
Reza Azad
Alireza Hosseini
Dorit Merhof
Ulas Bagci
AI4CE
73
20
0
28 Oct 2023
Learning Specialized Activation Functions for Physics-informed Neural
  Networks
Learning Specialized Activation Functions for Physics-informed Neural Networks
Honghui Wang
Lu Lu
Shiji Song
Gao Huang
PINNAI4CE
72
13
0
08 Aug 2023
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Dor Verbin
Pratul P. Srinivasan
Peter Hedman
45
504
0
13 Apr 2023
JacobiNeRF: NeRF Shaping with Mutual Information Gradients
JacobiNeRF: NeRF Shaping with Mutual Information Gradients
Xiaomeng Xu
Yanchao Yang
Kaichun Mo
Boxiao Pan
L. Yi
Leonidas Guibas
66
10
0
01 Apr 2023
WIRE: Wavelet Implicit Neural Representations
WIRE: Wavelet Implicit Neural Representations
Vishwanath Saragadam
Daniel LeJeune
Jasper Tan
Guha Balakrishnan
Ashok Veeraraghavan
Richard G. Baraniuk
AI4CE
80
143
0
05 Jan 2023
Neural Tangent Kernel: A Survey
Neural Tangent Kernel: A Survey
Eugene Golikov
Eduard Pokonechnyy
Vladimir Korviakov
55
14
0
29 Aug 2022
A Fast, Well-Founded Approximation to the Empirical Neural Tangent
  Kernel
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
Mohamad Amin Mohamadi
Wonho Bae
Danica J. Sutherland
AAML
75
28
0
25 Jun 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
330
4,037
0
16 Jan 2022
A Structured Dictionary Perspective on Implicit Neural Representations
A Structured Dictionary Perspective on Implicit Neural Representations
Gizem Yüce
Guillermo Ortiz-Jiménez
Beril Besbinar
P. Frossard
81
90
0
03 Dec 2021
Beyond Periodicity: Towards a Unifying Framework for Activations in
  Coordinate-MLPs
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
Sameera Ramasinghe
Simon Lucey
69
128
0
30 Nov 2021
Multi-Head ReLU Implicit Neural Representation Networks
Multi-Head ReLU Implicit Neural Representation Networks
Arya Aftab
Alireza Morsali
57
11
0
07 Oct 2021
Ensemble Neural Representation Networks
Ensemble Neural Representation Networks
Milad Soltany Kadarvish
Hesam Mojtahedi
Hossein Entezari Zarch
Amirhossein Kazerouni
Alireza Morsali
Azra Abtahi
F. Marvasti
64
6
0
07 Oct 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions,
  Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
58
36
0
15 Jun 2021
Deep Kronecker neural networks: A general framework for neural networks
  with adaptive activation functions
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions
Ameya Dilip Jagtap
Yeonjong Shin
Kenji Kawaguchi
George Karniadakis
ODL
81
134
0
20 May 2021
Modulated Periodic Activations for Generalizable Local Functional
  Representations
Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta
Michael Gharbi
Connelly Barnes
Eli Shechtman
R. Ramamoorthi
Manmohan Chandraker
50
156
0
08 Apr 2021
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser
Songyou Peng
Yiyi Liao
Andreas Geiger
55
824
0
25 Mar 2021
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSLSupRCLL
87
679
0
16 Dec 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
Sizhuang He
Xinling Yu
P. Perdikaris
135
914
0
28 Jul 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
124
2,421
0
18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
153
2,556
0
17 Jun 2020
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Roman Novak
Lechao Xiao
Jiri Hron
Jaehoon Lee
Alexander A. Alemi
Jascha Narain Sohl-Dickstein
S. Schoenholz
73
229
0
05 Dec 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
246
2,899
0
10 Dec 2018
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
152
1,451
0
22 Jun 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Jacot
Franck Gabriel
Clément Hongler
267
3,203
0
20 Jun 2018
Sigmoid-Weighted Linear Units for Neural Network Function Approximation
  in Reinforcement Learning
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing
E. Uchibe
Kenji Doya
133
1,728
0
10 Feb 2017
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
172
5,011
0
27 Jun 2016
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,408
0
28 Nov 2014
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