SI-DDPM-FMO
Image deblurring model
A Python-based framework for training and evaluating deep learning models for single-image deblurring, shape, and trajectory recovery of fast-moving objects.
[WACV 2024] SI-DDPM-FMO: Single-Image Deblurring, Trajectory and Shape Recovery of Fast Moving Objects with Denoising Diffusion Probabilistic Models
5 stars
2 watching
2 forks
Language: Python
last commit: about 2 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 rozumden/defmo | A deep learning framework for deblurring and recovering the shape of fast-moving objects from blurred images | 170 |
 deepmed-lab-ecnu/deeprft-aaai2023 | A deep learning-based image deblurring system that explores the impact of frequency selection on restoration quality | 18 |
 abdullah-abuolaim/defocus-deblurring-dual-pixel | Developing a deep learning model to correct blurry images caused by camera shake or out-of-focus | 185 |
 fangzhenxuan/ufpdeblur | An image deblurring algorithm that leverages flow-based motion prior and kernel estimation for blind image restoration. | 28 |
 chosj95/mimo-unet | Develops a deep learning model for single image deblurring with improved performance and computational efficiency | 373 |
 hyeongseokson1/kpac | An implementation of a deep learning model for deblurring images affected by defocus. | 58 |
 hdcvlab/deblurring-by-realistic-blurring | A Python implementation of a deblurring model using realistic blurring techniques. | 63 |
 codeslake/pvdnet | An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 |
 ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
| abdullah-abuolaim/recurrent-defocus-deblurring-synth-dual-pixel | This project provides tools and models to generate realistic data for camera systems with defocus blur, aiming to improve image deblurring techniques. | 49 |
 wdzhao123/apl | Develops a deep learning-based method to detect and remove defocus blur from images | 16 |
 dasongli1/learning_degradation | An implementation of learning-based image deblurring using degradation representations | 58 |
| abdullah-abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat | Improves single-image defocus deblurring by learning from dual-pixel images in a multi-task framework | 46 |
 jihyongoh/demfi | Develops algorithms to restore sharp images from blurry ones and interpolate missing frames in video sequences with improved accuracy | 81 |
 invokerer/deeprft | Develops deep learning-based methods for removing blur and defocus from images | 244 |