Alternatives and similar repositories for multiplicative-filter-networks

Users that are interested in multiplicative-filter-networks are comparing it to the libraries listed below

• computational-imaging / bacon
  Official respository for "Band-limited Coordinate Networks for Multiscale Scene Representation" | CVPR 2022
  ☆179Updated 2 years ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆60Updated 3 years ago
• tancik / learnit
  ☆172Updated 4 years ago
• computational-imaging / automatic-integration
  Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021
  ☆187Updated 2 years ago
• shekshaa / ResidualMFN
  Pytorch Implementation of Residual Multiplicative Filter Networks, NeurIPS 2022
  ☆22Updated 2 years ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆91Updated last year
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆29Updated 3 years ago
• stevenygd / PNF
  Polynomial Neural Fields for Subband Decomposition and Manipulation
  ☆58Updated 2 years ago
• vishwa91 / wire
  wavelet implicit neural representations
  ☆166Updated last year
• twmitchel / MobiusConv
  Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
  ☆27Updated last year
• VITA-Group / INSP
  [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…
  ☆52Updated 2 years ago
• ubc-vision / NFFB
  The official repository for Neural Fourier Filter Bank (CVPR 2023)
  ☆67Updated 2 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆35Updated last month
• amirhertz / SAPE
  ☆52Updated 3 years ago
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆142Updated 4 years ago
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆100Updated this week
• microsoft / SplinePosEnc
  ☆45Updated 3 years ago
• GlassyWing / fourier-feature-networks
  An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
  ☆67Updated 5 years ago
• google-deepmind / functa
  ☆158Updated last year
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆150Updated last year
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆69Updated 3 years ago
• hahnec / torchimize
  numerical optimization in pytorch
  ☆139Updated last year
• vsitzmann / light-field-networks
  ☆184Updated 2 years ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆48Updated last year
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆203Updated last year
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆49Updated 5 years ago
• ltatzel / PyTorchHessianFree
  PyTorch implementation of the Hessian-free optimizer
  ☆36Updated last year
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 4 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year