Collect super-resolution related papers, data, repositories

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

OneNet: End-to-End One-Stage Object Detection

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

PyTorch implementation for MatrixNet object detection architecture.

rotation detection based on yolov5

Rotation RetinaNet for arbitrary-oriented object detection.

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Dynamic sky replacement and harmonization in videos

detector for rotated-objections based on CenterNet/基于CenterNet的旋转目标检测

Image-to-Image Translation in PyTorch

PyTorch ,ONNX and TensorRT implementation of YOLOv4

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

CVPR 2020 论文开源项目合集

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

yolov5的注释版本

Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)

Loaner automation project for GitHub

A Python package to stabilize videos using OpenCV

PyTorch code for "Pyramid Attention Networks for Image Restoration" with new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution

TensorFlow implementation of VDSR

TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)

A Caffe-based implementation of very deep convolution network for image super-resolution

TensorFlow implementation of very deep convolution network for image super-resolution

Face recognition on ORL data set using PCA and LDA.