ZhengyuLiang24 / Conv4d-PyTorchLinks
Implementation of Conv4d for PyTorch
☆46Updated 3 years ago
Alternatives and similar repositories for Conv4d-PyTorch
Users that are interested in Conv4d-PyTorch are comparing it to the libraries listed below
Sorting:
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆110Updated this week
- wavelet implicit neural representations☆175Updated 2 years ago
- InverseBench (ICLR 2025 spotlight)☆94Updated 3 months ago
- Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.☆81Updated 9 months ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆59Updated 2 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆51Updated 5 years ago
- Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"☆37Updated 4 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆96Updated 4 years ago
- A python/pytorch package for invertible neural networks☆70Updated 2 years ago
- Rudimentary Conv4D Layer Implementation for PyTorch☆40Updated 7 years ago
- Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function☆509Updated 2 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆52Updated 3 years ago
- ☆33Updated 3 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆275Updated 3 years ago
- Pytorch implementation of COIN++ 🍁☆75Updated 3 years ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- ☆43Updated last year
- Source code of "A structured dictionary perspective on implicit neural representations"☆61Updated 3 years ago
- Adaptive FNO transformer - official Pytorch implementation☆277Updated 3 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆41Updated 4 years ago
- Pytorch implementation and comparison of Fourier Feature Networks and Sinusoidal Representation Networks☆13Updated 5 years ago
- Source code for IRL-INR (ICML 2023)☆20Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆72Updated 2 years ago
- DeepSphere: a graph-based spherical CNN (PyTorch)☆165Updated 3 years ago
- This is our implementation of a trainable bilateral filter layer (PyTorch)☆56Updated 3 years ago
- A Convolutional Variational Autoencoder (CVAE) for 3D CFD data reconstruction and generation.☆43Updated 3 years ago
- ☆22Updated 4 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆105Updated 5 years ago
- Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"☆264Updated 3 years ago
- Learning ReLU INRs with B-spline wavelets.☆14Updated last year