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Image-to-image translation with conditional adversarial nets
A comprehensive collection of IQA papers
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正
Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！
Android OpenGL ES 3.0 从入门到精通系统性学习教程 ( OpenGL ES 3.X Systematic Learning Tutorials)
Pytorch Code for the paper TransWeather - CVPR 2022
This is the official PyTorch implementation of DehazeDCT. Our method achieves the second best performance in NTIRE 2024 Dense and NonHomogeneous Dehazing Challenge (CVPR workshop))
Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduc…
Interactive Data Visualization in the browser, from Python
[arXiv 2024] Exposure Bracketing is All You Need for Unifying Image Restoration and Enhancement Tasks
BokehMe: When Neural Rendering Meets Classical Rendering (CVPR 2022 Oral)
Implementation of "Zero-Shot Restoration of Underexposed Images via Robust Retinex Decomposition, International Conference on Multimedia and Expo, 2020"
Starter code for the NTIRE 2023 Bokeh Effect Transformation Challenge
A curated list of point cloud registration.
A curated list of awesome computer vision resources
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
Papers and Datasets about Point Cloud.
【SCIS2021】A comprehensive survey on deraining. Keep updating
DerainZoo for collecting deraining methods, datasets, and codes.
MLNLP: Notes for MIT-Linear-Algebra