Popular GitHub Repositories for Axial Convolutions

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

[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

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

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

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

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.

Context Axial Reverse Attention Network for Small Medical Objects Segmentation

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

Implementation of Axial attention - attending to multi-dimensional data efficiently

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

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

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

Representation learning on large graphs using stochastic graph convolutions.

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

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.