Popular GitHub Repositories for Fourier Convolutions

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Learning in infinite dimension with neural operators.

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

Acceleration package for neural networks on multi-core CPUs

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.

HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform

Differentiable and accelerated spherical transforms with JAX

Representation learning on large graphs using stochastic graph convolutions.

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"