Alternatives and similar repositories for Conv4d-PyTorch:

Users that are interested in Conv4d-PyTorch are comparing it to the libraries listed below

• pvjosue / pytorch_convNd
  Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.
  ☆78Updated 2 years ago
• vishwa91 / wire
  wavelet implicit neural representations
  ☆154Updated last year
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆91Updated 2 years ago
• timothygebhard / pytorch-conv4d
  Rudimentary Conv4D Layer Implementation for PyTorch
  ☆39Updated 6 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆93Updated 3 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆47Updated 4 years ago
• bahjat-kawar / snips_torch
  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
  ☆51Updated 2 years ago
• agrija9 / Convolutional-VAE-for-3D-Turbulence-Data
  A Convolutional Variational Autoencoder (CVAE) for 3D CFD data reconstruction and generation.
  ☆39Updated 3 years ago
• VITA-Group / Neural-Implicit-Dict
  [ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
  ☆40Updated last year
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆58Updated 3 years ago
• yinboc / trans-inr
  Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
  ☆151Updated 2 years ago
• janisgp / go_with_the_flows
  Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"
  ☆12Updated 3 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 3 years ago
• belkakari / implicit-kan
  Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)
  ☆14Updated 11 months ago
• kakaobrain / ginr-ipc
  The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).
  ☆39Updated 2 years ago
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆33Updated last week
• NVlabs / RED-diff
  ☆84Updated last year
• ubc-vision / NFFB
  The official repository for Neural Fourier Filter Bank (CVPR 2023)
  ☆67Updated last year
• kklemon / gon-pytorch
  ☆16Updated 3 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 4 years ago
• 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
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆35Updated 3 years ago
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆55Updated 2 years ago
• LabForComputationalVision / bias_free_denoising
  Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks
  ☆56Updated 3 years ago
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆68Updated 7 months ago
• ahyunSeo / EquiSym
  (CVPR 2022) Official PyTorch implementation of "Reflection and Rotation Detection via Equivariant Learning."
  ☆23Updated 2 years ago
• edongdongchen / DDN
  Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
  ☆30Updated 3 years ago
• Ezio77 / DINER
  DINER
  ☆56Updated last year
• psh01087 / Vid-ODE
  Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
  ☆61Updated 2 years ago
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆28Updated 3 years ago