BSRSC

RS correction

A project for developing and evaluating a method to remove rolling shutter effects from video frames using adaptive warping and machine learning

[CVPR 2022] Learning Adaptive Warping for Real-World Rolling Shutter Correction

GitHub

27 stars
3 watching
2 forks
Language: Python
last commit: over 2 years ago

Related projects:

RepositoryDescriptionStars
zzh-tech/rscdDevelops tools and techniques for correcting rolling shutter distortion in images and videos from dynamic scenes88
zzh-tech/dual-reversed-rsReverses rolling shutter distortion in images to produce undistorted global shutter sequences52
lightchaserx/neural-global-shutterReverses rolling shutter distortion in camera footage12
gitcvfb/rssrSoftware tool to invert rolling shutter camera images and generate high framerate global shutter video35
irvlab/unrollingA Python project that uses IMU data to correct rolling shutter distortion in single-view images18
rimchang/rsblurThis repository provides an implementation of an image deblurring method using realistic blur synthesis.88
lhaippp/homography-mixturesRemoves rolling shutter effects from images by estimating homographies between consecutive frames8
gitcvfb/sunetA software framework for removing rolling shutter effects from images by leveraging neural networks and correlation calculations22
cszn/srmdDevelops a single convolutional network to handle various image degradations with improved scalability and efficiency427
eyalnaor/videorollingshutterAn implementation of video rolling shutter correction using internal and external constraints.8
gitcvfb/cvrReconstructs high-quality video frames from two adjacent rolling shutter camera frames31
kristapsdz/openrsyncA BSD-licensed implementation of rsync with additional glue for portability401
zzh-tech/bitDevelops a deep learning-based method for deblurring images and videos from motion blur225
kjvarga/rr-to-rspec-converterConverts RR code to RSpec syntax for mocking and stubbing1
cszn/ircnnThis project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods.602