xuelimin Goto Github PK

awesome-super-resolution

Collect super-resolution related papers, data, repositories

basicsr

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

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

dfdnet

Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

falsr

Fast, Accurate and Lightweight Super-Resolution models

fast-rcnn

Fast R-CNN

fucking-algorithm

labuladong的算法小抄，手把手撕LeetCode题目，扒各种算法套路的裤子，不仅how，还有why。

halfrost-field

✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

hdr-plus

HDR+ Implementation

hdrcnn

HDR image reconstruction from a single exposure using deep CNNs

iputils

mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

meta-sr-pytorch

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

np-activex

Enable ActiveX plug-ins for NPAPI browsers

penet_icra2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

pid1

pid2

lianxi

pid3

pynet-bokeh

Rendering Realistic Bokeh Images with PyNET

pynet-pytorch

Generating RGB photos from RAW image files with PyNET (PyTorch)

real-time_head_pose_estimation

Real-time head pose estimation

realsr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

repulsion_loss_ssd

Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752

shellbye.github.io

my blog --> see https://github.com/Shellbye/Shellbye.github.io/issues for recent update

super-resolution_zoo

The model zoo for Super-resolution in Pytorch

vim

vim配置文件和插件

visualdet3d

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

web_practice