ZhengyuLiang24 / Conv4d-PyTorchLinks
Implementation of Conv4d for PyTorch
☆41Updated 2 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.☆98Updated this week
- wavelet implicit neural representations☆164Updated last year
- Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.☆79Updated 2 months ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆48Updated 5 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆95Updated 4 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆51Updated 2 years ago
- 3D VQ-VAE-2 for high-resolution CT scan synthesis☆49Updated 3 years ago
- Rudimentary Conv4D Layer Implementation for PyTorch☆40Updated 6 years ago
- [ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang☆40Updated last year
- Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"☆37Updated 4 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆56Updated 2 years ago
- InverseBench (ICLR 2025 spotlight)☆55Updated last week
- DeepSphere: a graph-based spherical CNN (PyTorch)☆162Updated 3 years ago
- Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.☆24Updated last year
- Pytorch implementation of COIN++ 🍁☆73Updated 3 years ago
- Differentiable fast wavelet transforms in PyTorch with GPU support.☆369Updated this week
- Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function☆494Updated last year
- Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.☆98Updated 3 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Adaptive FNO transformer - official Pytorch implementation☆260Updated 2 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆38Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- ☆16Updated 3 years ago
- ☆32Updated 2 years ago
- Official implementation of the Reconstruct Anything Model (RAM)☆40Updated this week
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆97Updated 5 years ago
- Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli☆55Updated 4 years ago
- This is our implementation of a trainable bilateral filter layer (PyTorch)☆56Updated 2 years ago
- Source code for IRL-INR (ICML 2023)☆20Updated 2 years ago
- A PyTorch implementation of the ECCV 2022 paper "Neural Image Representations for Multi-Image Fusion and Layer Separation"☆22Updated 3 years ago