A curated list of resources for Image and Video Deblurring

Add motion blur to videos

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

Image Processing Toolbox in Verilog using Basys3 FPGA

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

Sharp Image Deblurring

[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.

Rankings include: ABME AdaFNIO ALANET AMT BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR HiFI H-VFI IFRNet IQ-VFI JNMR LADDER M2M MA-GCSPA NCM PerVFI PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet Swin-VFI TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIFT VFIMamba VFIT VIDUE VRT

Smoothie is python is abandonned, please see couleur-tweak-tips/smoothie-rs

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

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

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

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

🎞️ Utility for realistic motion blur through frame intepolation and blending

Library for processing and manipulating images.

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.

⬜ Old school image flow effect for Unity Urp

Official Code for "Structured Kernel Estimation for Photon-Limited Deconvolution" (CVPR 2023)