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hanxuhfut's Projects

ais-sdk icon ais-sdk

AIS SDK and code samples, include ak/sk access method and token method.

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

alsmdemo icon alsmdemo

this is a low light enhancment algorithm demo, it is a unpublished manuscript in IEEE transactions on image processing. Accepted in 2019

awesome-matlab icon awesome-matlab

A curated list of awesome MATLAB toolboxes, applications, software and resources.

client icon client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

code icon code

Low-Light Image Enhancement with Semi-Decoupled Decomposition

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deephdr icon deephdr

This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)

deepvision icon deepvision

在我很多项目中用到的CV算法推理框架应用。

dualcnn icon dualcnn

This repository is an official PyTorch implementation of the paper "Dual Convolutional Neural Networks for Low-Level Vision"

dualcnn-tf icon dualcnn-tf

Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision

enlightengan icon enlightengan

EnlightenGAN: Deep Light Enhancement without Paired Supervision

epdn icon epdn

Enhanced Pix2pix Dehazing Network, accepted by CVPR 2019

errnet icon errnet

Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements (CVPR 2019)

fc4 icon fc4

Code and resources for "FC4 : Fully Convolutional Color Constancy with Confidence-weighted Pooling" (CVPR 2017)

feqe icon feqe

Official code (Tensorflow) for paper "Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks"

groupsc icon groupsc

Code for the paper: Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration (ECCV 2020)

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