SOTAVerified

Deblurring

Deblurring is a computer vision task that involves removing the blurring artifacts from images or videos to restore the original, sharp content. Blurring can be caused by various factors such as camera shake, fast motion, and out-of-focus objects, and can result in a loss of detail and quality in the captured images. The goal of deblurring is to produce a clear, high-quality image that accurately represents the original scene.

( Image credit: Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks )

Papers

Showing 110 of 999 papers

TitleStatusHype
Generative Latent Kernel Modeling for Blind Motion DeblurringCode0
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission0
Visual-Instructed Degradation Diffusion for All-in-One Image RestorationCode1
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level VisionCode1
Unsupervised Imaging Inverse Problems with Diffusion Distribution MatchingCode1
Restoring Gaussian Blurred Face Images for Deanonymization Attacks0
Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration ModelsCode0
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI0
EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MLWNetAverage PSNR34.94Unverified
2SegDeblurAverage PSNR34.63Unverified
3SFNetAverage PSNR34.35Unverified
4FSNetAverage PSNR34.31Unverified
5IRNextAverage PSNR34.08Unverified
6ConvIRAverage PSNR34.06Unverified
7Uformer-BAverage PSNR33.98Unverified
8RestormerAverage PSNR33.69Unverified
9MPRNetAverage PSNR33.61Unverified
10MIMO-UNet+Average PSNR33.37Unverified