Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

🌅 Automated image color correction / enhancement with Deep Learning (CNN) ***(NO LONGER MAINTAINED)

A bunch of Automatic White-Balancing (AWB) Algorithm Implementations

[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

完美移植PhotoShop的色阶算法

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

C++ implementation of Deep_White_Balance

Deep learning approach for restoring and enhancing video quality using pre-trained ESRGAN model

🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-p…

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

CVPR2021 Learning Multi-Scale Photo Exposure Correction论文的非官方pytorch代码

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

Code for the paper Learning Exposure Correction via Consistency Modeling (BMVC 2021)

This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.

paper implement

an improved version of vins-mono

The Kalibr visual-inertial calibration toolbox

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

edition 2 of the slambook

Generate color pointcloud using the messages from one camera and one lidar

学生互动课堂，包含PC后台系统、微信小程序，采用前后端分离开发模式。使用Spring boot、uni app、vue、vue admin template开发微信小程序、PC后台管理系统。

Vue+Spring boot前后端分离项目（wh-web+wh-server的升级版）

基于Flask+VUE前后端，在阿里云公网WEB端部署YOLOv5目标检测模型

基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

深度学习入门教程, 优秀文章, Deep Learning Tutorial

深度学习经典、新论文逐段精读

📚 各类图书