Deblurring
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Benchmarks
GoPro
HIDE (trained on GOPRO)
RealBlur-J
RealBlur-R
RSBlur
MSU BASED
DVD
BASED
DVD
REDS
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HIDE
Most implemented
Learning to See in the Dark
Simple Baselines for Image Restoration
Restormer: Efficient Transformer for High-Resolution Image Restoration
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Multi-Stage Progressive Image Restoration
Papers
Generative Latent Kernel Modeling for Blind Motion Deblurring
Deep prior-based approaches have demonstrated remarkable success in blind motion deblurring (BMD) recently. These methods, however, are often limited by the high non-convexity of the underlying optimization process in BM…
DeblurringGenerative Adversarial NetworkSensitivityEAMamba: Efficient All-Around Vision State Space Model for Image Restoration
Image restoration is a key task in low-level computer vision that aims to reconstruct high-quality images from degraded inputs. The emergence of Vision Mamba, which draws inspiration from the advanced state space model M…
AllDeblurringDenoisingImage Restoration+2Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission
Event cameras asynchronously capture pixel-level intensity changes with extremely low latency. They are increasingly used in conjunction with RGB cameras for a wide range of vision-related applications. However, a major …
DeblurringInformativenessVisual-Instructed Degradation Diffusion for All-in-One Image Restoration
Image restoration tasks like deblurring, denoising, and dehazing usually need distinct models for each degradation type, restricting their generalization in real-world scenarios with mixed or unknown degradations. In thi…
AllDeblurringDenoisingImage RestorationR3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
Neural rendering methods such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have achieved significant progress in photorealistic 3D scene reconstruction and novel view synthesis. However, most existin…
3DGS3D Reconstruction3D Scene ReconstructionAutonomous Driving+5Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
This work addresses image restoration tasks through the lens of inverse problems using unpaired datasets. In contrast to traditional approaches -- which typically assume full knowledge of the forward model or access to p…
Blind Super-ResolutionDeblurringImage RestorationSuper-Resolution