GeoProj
Image distortion correction
A deep learning-based approach to correcting geometric distortions in images
Blind Geometric Distortion Correction on Images Through Deep Learning
192 stars
6 watching
54 forks
Language: Python
last commit: about 2 years ago deep-learningdistortion-correctionpytorch
Related projects:
Repository | Description | Stars |
---|---|---|
wuhuikai/gp-gan | This project provides an implementation of a deep generative model for realistic high-resolution image blending | 463 |
gitcvfb/sunet | A software framework for removing rolling shutter effects from images by leveraging neural networks and correlation calculations | 22 |
fyu/dilation | This project provides a deep learning framework implementing dilated convolutions for semantic image segmentation | 782 |
tdsuper/distortion-aware-cnns | Software for processing spherical images with distortion correction | 1 |
minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
gamrix/cs231n_proj | This project focuses on manipulating 3D views using deep learning techniques. | 6 |
jihyongoh/demfi | Develops algorithms to restore sharp images from blurry ones and interpolate missing frames in video sequences with improved accuracy | 81 |
donggong1/learn-optimizer-rgdn | An implementation of deep learning-based optimization method for image deconvolution, which improves the quality of blurry images by generating new blur kernels. | 32 |
rwenqi/nbd-glra | A MATLAB implementation of a deep learning-based deconvolution algorithm using generalized low-rank approximation for image restoration. | 22 |
akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 538 |
google-research/big_transfer | Pre-trained models and code for fine-tuning image recognition tasks using deep learning frameworks | 1,516 |
vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
tianhongdai/integrated-gradient-pytorch | A PyTorch implementation of attributing the impact of inputs on deep neural network outputs | 182 |
csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
irvlab/unrolling | A Python project that uses IMU data to correct rolling shutter distortion in single-view images | 18 |