A curated list of resources for Image and Video Deblurring

[ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

Add motion blur to videos

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Sharp Image Deblurring

Image Processing Toolbox in Verilog using Basys3 FPGA

[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.

🧋 Highly customizable motion-blur effect CLI helper for video-game footage (using the VapourSynth frameserver).

Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.

Global illumination technical demo - a continuation of the Synesthesia3D (ex-LibRenderer) graphics engine used in https://github.com/iftodebogdan/ShaderEditor

Library for processing and manipulating images.

This is a fork of caffe added some useful layers, the original caffe site is https://github.com/BVLC/caffe.

Rankings include: ABME, ALANET, AMT, BiT, CDFI, DBVI, DeMFI, DQBC, DRVI, EAFI, EBME, EDC, EDSC, EMA-VFI, FGDCN, FILM, FLAVR, H-VFI, IFRNet, JNMR, MA-CSPA, NCM, NIO, PRF, RIFE, SoftSplat, ST-MFNet, TTVFI, UPR-Net, VFIformer, VFIT, VRT

Generate blur image with 3 types of blur `motion`, `lens`, and `gaussian` by using OpenCV.

Blind deconvolution of motion blur

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

🎞️ Easily add motion blur and/or increase framerate to videos through frame blending and interpolation

A simple implementation of a Per-object motion blur effect for Unity URP (v14+)