belkakari / implicit-kan
Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)
β13Updated 5 months ago
Related projects β
Alternatives and complementary repositories for implicit-kan
- β11Updated 10 months ago
- π A powerful library for efficient training of Neural Fields at scale.β26Updated 9 months ago
- [ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wangβ37Updated 10 months ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.β90Updated 3 years ago
- Code for our CVPR'23 paper: "Polynomial Implicit Neural Representations For Large Diverse Datasets"β36Updated last year
- This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).β37Updated last month
- [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wanβ¦β50Updated last year
- wavelet implicit neural representationsβ137Updated last year
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"β40Updated 3 months ago
- Official Pytorch Implementation of Residual Multiplicative Filter Networksβ18Updated last year
- High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomialβ¦β41Updated 4 months ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainsβ40Updated 4 years ago
- β15Updated 2 years ago
- Implicit^2: Implicit model for implicit neural representationsβ27Updated 2 years ago
- Mirror Diffusion Models, NeurIPS 2023β28Updated 11 months ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.β82Updated 2 years ago
- β16Updated last year
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Modelsβ28Updated last week
- The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPRβ23 highlight).β37Updated last year
- The official repository of Coordinate-Aware Modulation for Neural Fields.β19Updated 3 months ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)β14Updated 7 months ago
- Meta-Learning Sparse Implicit Neural Representations (NeurIPS 2021)β63Updated 3 years ago
- The official repository for Neural Fourier Filter Bank (CVPR 2023)β66Updated last year
- Learning ReLU INRs with B-spline wavelets.β11Updated 5 months ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.β26Updated 7 months ago
- Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)β51Updated 11 months ago
- [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"β48Updated 6 months ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).β34Updated 2 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihoodβ35Updated 5 months ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochasticallyβ50Updated 2 years ago