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
35 stars
3 watching
2 forks
Language: Python
last commit: over 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 | 474 |
 zzh-tech/animation-from-blur | A framework for recovering sharp motion from a blurred image by addressing the directional ambiguity in motion guidance. | 64 |
 tinghuiz/sfmlearner | A framework for unsupervised depth and ego-motion estimation from monocular videos using deep learning | 1,977 |
 meiguangjin/slow-motion | This PyTorch implementation learns to extract flawless slow motion from blurry videos by processing raw video data. | 28 |
 pxiangwu/motionnet | This project aims to predict motion and perceive scenes from bird's eye view maps for autonomous driving | 169 |
 xufangchn/motion-deblurring-with-real-events | This repository provides code and models for a computer vision project that aims to improve the quality of videos by reducing motion blur. | 35 |
 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. | 33 |
 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 | 225 |
 guillermocarbajal/nonuniformblurkernelestimation | Estimates blur kernels from images to remove motion blur | 42 |
 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. | 45 |
 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. | 391 |
 ahupujr/efnet | An end-to-end image restoration network that uses event-camera data to improve motion deblurring | 147 |
 mingyuan-zhang/motiondiffuse | Generates human motion from text input using a diffusion model | 869 |