Animation-from-Blur
Motion recovery framework
A framework for recovering sharp motion from a blurred image by addressing the directional ambiguity in motion guidance.
[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
64 stars
4 watching
4 forks
Language: Python
last commit: 9 months ago deblurdeblurringdeblurring-algorithmdeep-learningeccv2022frame-interpolationimage-to-videorestoration
Related projects:
| Repository | Description | Stars |
|---|---|---|
| zzh-tech/bit | Develops a deep learning-based method for deblurring images and videos from motion blur | 224 |
 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. | 32 |
| zzh-tech/estrnn | An efficient RNN-based model for real-world video deblurring with a large-scale dataset and pre-trained models. | 320 |
| zzh-tech/dual-reversed-rs | Reverses rolling shutter distortion in images to produce undistorted global shutter sequences | 52 |
| zzh-tech/rscd | Develops tools and techniques for correcting rolling shutter distortion in images and videos from dynamic scenes | 88 |
 yjzhang96/motion-etr | A deep learning framework to estimate exposure trajectories from motion-blurred images and recover the original sharp image | 35 |
 xufangchn/motion-deblurring-with-real-events | A software implementation of motion deblurring techniques using real events data. | 34 |
 jihyongoh/demfi | Develops algorithms to restore sharp images from blurry ones and interpolate missing frames in video sequences with improved accuracy | 81 |
 zhiqianghu2021/decomposeddynamicfilters | An algorithmic approach to improve single image motion deblurring by adapting to local variations in the input image | 3 |
 rozumden/defmo | A deep learning framework for deblurring and recovering the shape of fast-moving objects from blurred images | 171 |
 anshulbshah/blurred-image-to-video | Automating video generation from motion-blurred images using deep learning | 15 |
 shangwei5/d2net | Develops a framework to deblur video by leveraging non-consecutively blurry frames and proposes an event fusion module for improving deblurring performance. | 35 |
 shuochsu/deepvideodeblurring | Restores video frames to sharp clarity by predicting sharper central images from blurry input. | 191 |
 radimspetlik/si-ddpm-fmo | A Python-based framework for training and evaluating deep learning models for single-image deblurring, shape, and trajectory recovery of fast-moving objects. | 5 |
 zhihongz/infwide | A deep learning-based image deblurring method designed to handle low-light conditions | 13 |