Open-source alternatives to AIFNET

A. Karaali, CR. Jung, "Edge-Based Defocus Blur Estimation with Adaptive Scale Selection", IEEE Transactions on Image Processing (TIP 2018), 2018

CVPR 2023 Better “CMOS” Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution

CVPR 2019 Official TensorFlow Implementation for "Deep Defocus Map Estimation using Domain Adaptation"

CVPR 2021 Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"

Neumann Network with Recursive Kernels for Single Image Defocus Deblurring, CVPR 2023

ICCV 2021 Official Tensorflow Implementation for "Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions"

Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes

CVPR Oral 2022 PyTorch Implementation for "Learning to Deblur using Light Field Generated and Real Defocused Images"

Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer

The implementation of "Learning Single Image Defocus Deblurring with Misaligned Training Pairs".

This repository contains the PyTorch code for our paper "LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network" by Hao Yang, Liyuan Pan, Yan Yang, Richard Hartley, and Miaomiao Liu.

CVPR 2021

Yuelin Zhang, Pengyu Zheng, Wanquan Yan, Chengyu Fang, Shing Shin Cheng; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 11125-11136

CVPR2021:Self-generated Defocus Blur Detection via Dual Adversarial Discriminators

Code for CVPR Workshop 2021 Paper

ECCV 2020 Defocus Blur Detection via Depth Distillation

ECCV2022: United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning

paper