YOLOv5 object detection with C#, ML.NET, ONNX

At OpenVINO ™、 TensorRT, ONNX runtime, and OpenCV Dnn deployment platforms are based on C # language deployment models.

一个小而快并且功能强大的 Windows 动态桌面软件

Learning-based Image Super Resolution

re-implementation super resolution pytorch using ESRGAN

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

[PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.

A PyTorch Implementation of Single Shot MultiBox Detector

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/m…

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A new technique to increase receptive field in convolutional neural networks without losing so much information.

ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise Injection in Super-Resolution GANs

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

BasicSR-Examples illustrates how to easily use BasicSR in your own project

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 …

The state-of-the-art image restoration model without nonlinear activation functions.

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

Improved YOLOv5 for Small Object Detection,

A list of all named GANs!

Code and hyperparameters for the paper "Generative Adversarial Networks"