alice0807 Goto Github PK

1806

18.06 course at MIT

alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

array

C++ multidimensional arrays in the spirit of the STL

arxiv2020-rife

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

bgu

cmake-examples

Useful CMake Examples

deep-adaptive-lidar

Implementation of Deep Adaptive LiDAR: End-to-end Optimization of Sampling and Depth Completion at Low Sampling Rates

deeplpf

Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

deepupe

Underexposed Photo Enhancement Using Deep Illumination Estimation

demosaicing

CFA (Colour Filter Array) Demosaicing Algorithms for C++

dis-pu

Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021

exposurefusion

Exposure Fusion Technique

fastdvdnet

FastDVDnet: A Very Fast Deep Video Denoising algorithm

hdr-multi-exposure-image-fusion-source-code-

Matlab Source Code of article “ A Precise Multi-Exposure Image Fusion Method Based on Low-level Features” research use only. Please cite： Qi, G.; Chang, L.; Luo, Y.; Chen, Y.; Zhu, Z.; Wang, S. A Precise Multi-Exposure Image Fusion Method Based on Low-level Features. Sensors 2020, 20, 1597. BIBTEX: @Article{s20061597, AUTHOR = {Qi, Guanqiu and Chang, Liang and Luo, Yaqin and Chen, Yinong and Zhu, Zhiqin and Wang, Shujuan}, TITLE = {A Precise Multi-Exposure Image Fusion Method Based on Low-level Features}, JOURNAL = {Sensors}, VOLUME = {20}, YEAR = {2020}, NUMBER = {6}, ARTICLE-NUMBER = {1597} }

hdr-plus

HDR+ Implementation

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

hdrnet-pytorch

Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/

hdrnet_legacy

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancements', SIGGRAPH 2017

hdrplus-python

Open source Python implementation of the HDR+ photography pipeline

human-segmentation-pytorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

humanseg.pytorch

Human segmentation project(pytorch)

imagetools

这是一款图像相关的工具软件，扩展性好。目前集成有镜头计算器、抖动测试工具、看图工具、RAW图编辑（ISP算法的实现）、PQtools直接生成代码、多视频对比等功能。可以方便的进行后期算法的验证

jin

joint-bilateral-photorealistic-style-transfer

An unofficial implementation of paper "Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer"

kinect_smoothing

"Kinect Smoothing" helps you to smooth and filter the Kinect depth image as well as trajectory data

kzhang-cs205-l0-smoothing

Parallel Image Smoothing via L0 Gradient Minimization

l0-gradient-smoothing

A C++ implementation of "Image Smoothing via L0 Gradient Minimization"

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

libraw

LibRaw for the Windows build of ImageMagick

lime

Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation"