guoshi28 Goto Github PK

2stagealign

The official codes of our CVPR2022 paper: A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift

a-star-search-algorithm

A homework of algorithm in HIT

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

bilibili_backup

burst-denoising

caffe-instance-normalization-and-guided-instance-normalization

caffe implement

cbdnet

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

ccnet

CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.

cnn_superresolution

Using CNN model to solve SuperResolution problem

dearpygui

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

dpsr

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

gcp-net

Code for "Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images", TIP2021

guoshi28.github.io

Guo Shi's Homepage.

hdr-plus

HDR+ Implementation

hdr_toolbox

HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave

hdrnet_legacy

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

how_to_write_cuda_extensions_in_pytorch

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

image-adaptive-yolo

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

implement-of-apriori-and-fptree

Implement of Apriori And FPTree

lyricplayer

A music player showing lyric analysis

nri

Neural relational inference for interacting systems - pytorch

pnn.pytorch

PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

sfanet

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

start_to_learn_opengl

start to learn openGL

vjdd

The code for "Toward Accurate and Temporally Consistent Video Restoration from Raw Data"