Alternatives and similar repositories for neural-field-arena

Users that are interested in neural-field-arena are comparing it to the libraries listed below

• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆51Updated 5 years ago
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆36Updated 4 months ago
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆109Updated last week
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated last week
• CVLAB-Unibo / inr2vec
  Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)
  ☆57Updated last year
• kakaobrain / ginr-ipc
  The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).
  ☆41Updated 2 years ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆61Updated 3 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 3 years ago
• google-deepmind / functa
  ☆158Updated last year
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• belkakari / implicit-kan
  Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)
  ☆14Updated last year
• 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
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆60Updated 7 months ago
• twmitchel / MobiusConv
  Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
  ☆26Updated last year
• DoronHav / WassersteinFlowMatching
  ☆36Updated this week
• yinboc / trans-inr
  Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
  ☆158Updated 3 years ago
• vishwa91 / wire
  wavelet implicit neural representations
  ☆170Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆50Updated 6 months ago
• joeshenouda / relu-inrs
  Learning ReLU INRs with B-spline wavelets.
  ☆14Updated last year
• bobby-he / uncertainr
  ☆17Updated 2 years ago
• qimaqi / Implicit-Zoo
  Official Implementation of Impliti-Zoo: Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes
  ☆23Updated 4 months ago
• jihoontack / GradNCP
  Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)
  ☆27Updated 2 years ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆51Updated 7 months ago
• giannisdaras / ambient-tweedie
  [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"
  ☆53Updated last year
• Rajhans0 / Poly_INR
  Code for our CVPR'23 paper: "Polynomial Implicit Neural Representations For Large Diverse Datasets"
  ☆38Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆125Updated 2 years ago
• maincold2 / CAM
  The official repository of Coordinate-Aware Modulation for Neural Fields.
  ☆25Updated last year