636 Open source projects that are alternatives of or similar to SwinIR

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

A curated list of resources for Low-level Vision Tasks

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

This is the project page of our paper which has been published in ECCV 2020.

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CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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A collection of SOTA Image Classification Models in PyTorch

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

This paper is accepted by ICCV 2021.

AI无损放大工具

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

SOTA Semantic Segmentation Models in PyTorch

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

pix2tex: Using a ViT to convert images of equations into LaTeX code.

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

[ICCV2021]DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network, https://arxiv.org/abs/2207.10434

a collection of visualization function

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

Laravel5 JSONAPI and Dingo together to build APIs fast

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Code for the paper "Are Sixteen Heads Really Better than One?"

Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022)

Implementation of Linformer for Pytorch

Bicubic interpolation for images (Python)

Summary of Transformer applications for computer vision tasks.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Manual, source-code and binaries for the NanoJ-Fluidics project

Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)

Denoise of ECG signal with machine learning

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets. Additionally, it also collects many useful tutorials and tools in these related domains.

A Real-ESRGAN model trained on a custom dataset

Zero administration inference with AWS Lambda for 🤗

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

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Thin Python wrapper to de/compression algorithms in Rust - lightweight & no dependencies