SOTAVerified

Blind Image Deblurring

Blind Image Deblurring is a classical problem in image processing and computer vision, which aims to recover a latent image from a blurred input.

Source: Learning a Discriminative Prior for Blind Image Deblurring

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 70 papers

TitleStatusHype
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring—0
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—0
Frequency-domain Learning with Kernel Prior for Blind Image Deblurring—0
Graph-Based Blind Image Deblurring From a Single Photograph—0
Image Restoration from Parametric Transformations using Generative Models—0
Kernel Estimation from Salient Structure for Robust Motion Deblurring—0
Learning a Discriminative Prior for Blind Image Deblurring—0
Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond—0
Learning Discriminative Data Fitting Functions for Blind Image Deblurring—0
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring—0
Show:102550
← PrevPage 5 of 7Next →

No leaderboard results yet.