Motion-ETR

Motion Estimator

A deep learning framework to estimate exposure trajectories from motion-blurred images and recover the original sharp image

Exposure Trajectory Recovery from Motion Blur

GitHub

33 stars
3 watching
2 forks
Language: Python
last commit: about 2 years ago

Related projects:

Repository Description Stars
aliaksandrsiarohin/monkey-net A deep learning framework for animating objects in videos and images using motion transfer 473
zzh-tech/animation-from-blur A framework for recovering sharp motion from a blurred image by addressing the directional ambiguity in motion guidance. 63
tinghuiz/sfmlearner An unsupervised learning framework for depth and ego-motion estimation from monocular videos 1,967
meiguangjin/slow-motion An implementation of a PyTorch-based slow-motion video processing method using machine learning algorithms 28
pxiangwu/motionnet Develops accurate perception and motion prediction models for autonomous vehicles based on 2D maps 169
xufangchn/motion-deblurring-with-real-events Develops methods to restore blurry motion sequences from real-world events 33
xiangz-0/gem This project proposes a method to generalize event-based motion deblurring in real-world scenarios using a scale-aware network and a two-stage self-supervised learning scheme. 31
robot-perception-group/airpose A deep learning framework for multi-view fusion network-based 3D human motion capture system 52
zzh-tech/bit Develops a deep learning-based method for deblurring images and videos from motion blur 222
guillermocarbajal/nonuniformblurkernelestimation Estimates blur kernels from images to remove motion blur 40
eferu/motiongenerator A software library that generates smooth motion profiles based on trapezoidal speed motion, independent of the sampling period used. 47
jannemus/deepgyro A Python implementation of motion deblurring using gyroscope data and deep learning techniques. 44
wenbowen123/iros20-6d-pose-tracking An optimization approach for long-term 6D pose tracking of objects in video sequences using synthetic data and a novel neural network architecture. 389
ahupujr/efnet An end-to-end image restoration network that uses event-camera data to improve motion deblurring 145
mingyuan-zhang/motiondiffuse Generates human motion from text input using a diffusion model 860