hiran0's Stars
MasteringOpenCV/code
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
openMVG/openMVG
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
cdcseacave/openMVS
open Multi-View Stereo reconstruction library
dabeaz-course/python-mastery
Advanced Python Mastery (course by @dabeaz)
yanivnik/sinfusion-code
E869120/math-algorithm-book
拙著『「アルゴリズム×数学」が基礎からしっかり身につく本』(2021/12/25 発売)の GitHub ページです。演習問題の解答や、C++ 以外のソースコードなどが掲載されています。ぜひご活用ください。
sai-bi/L1Flattening
An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition
Vedant2311/Tone-Mapping-Library
A compilation of various tone mapping algorithms programmed in MATLAB
goobo666/LEP
odiofan/L1L0_TM-CVPR2018
A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping, CVPR 2018.
banterle/HDR_Toolbox
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
deepankarc/bilateral-filter-contrast-reduction
Fast bilateral filter for contrast reduction.
vivianhylee/high-dynamic-range-image
Creating HDR image from image stack with multiple exposures
drakeguan/cp11fall_project1
Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema
RenYurui/StructureFlow
Code for paper "StructureFlow: Image Inpainting via Structure-aware Appearance Flow"
geekyutao/Image-Inpainting
A paper summary of image inpainting
vinthony/awesome-deep-hdr
A collection of deep learning based methods for HDR image synthesis
dmarnerides/hdr-expandnet
Training and inference code for ExpandNet
mrzhu-cool/pix2pix-pytorch
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
richzhang/PerceptualSimilarity
LPIPS metric. pip install lpips
cszn/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
krshrimali/No-Reference-Image-Quality-Assessment-using-BRISQUE-Model
Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)
zhufeida/Benchmark_EPS
A Benchmark for Edge-Preserving Image Smoothing.