jmclong / random-fourier-features-pytorchLinks
Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
☆93Updated 2 years ago
Alternatives and similar repositories for random-fourier-features-pytorch
Users that are interested in random-fourier-features-pytorch are comparing it to the libraries listed below
Sorting:
- wavelet implicit neural representations☆161Updated last year
- ☆152Updated 2 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆95Updated 4 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆47Updated 4 years ago
- ☆156Updated 10 months ago
- Source code of "A structured dictionary perspective on implicit neural representations"☆58Updated 3 years ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆69Updated last year
- Modern Fixed Point Systems using Pytorch☆93Updated last year
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- ☆89Updated last year
- [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…☆52Updated 2 years ago
- [ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang☆40Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆146Updated 3 years ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆70Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 3 years ago
- ☆12Updated last year
- Score-based generative models for compact manifolds☆110Updated last year
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆51Updated 2 years ago
- ☆61Updated 2 years ago
- Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022☆153Updated 2 years ago
- ☆32Updated 2 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆45Updated 4 months ago
- This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).☆54Updated 8 months ago
- Pytorch implementation of COIN++ 🍁☆72Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- ☆78Updated 4 years ago
- Implementation of Conv4d for PyTorch☆40Updated 2 years ago
- Using pre-trained Diffusion models as priors for inference tasks☆203Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆158Updated 3 months ago