Papers Single Image Deblurring
“Single Image Deblurring” 태그가 달린 논문 35편 · 필터 해제
NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal of the challenge is to design an event-b…
DeblurringEvent-based visionImage DeblurringSingle Image Deblurring+1One-Step Diffusion Model for Image Motion-Deblurring
Currently, methods for single-image deblurring based on CNNs and transformers have demonstrated promising performance. However, these methods often suffer from perceptual limitations, poor generalization ability, and str…
DeblurringDenoisingImage Deblurringmodel+1Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models
Most motion deblurring algorithms rely on spatial-domain convolution models, which struggle with the complex, non-linear blur arising from camera shake and object motion. In contrast, we propose a novel single-image debl…
DeblurringImage DeblurringSingle Image DeblurringBeSplat: Gaussian Splatting from a Single Blurry Image and Event Stream
Novel view synthesis has been greatly enhanced by the development of radiance field methods. The introduction of 3D Gaussian Splatting (3DGS) has effectively addressed key challenges, such as long training times and slow…
3DGSNeRFNovel View SynthesisSingle Image DeblurringXYScanNet: A State Space Model for Single Image Deblurring
Deep state-space models (SSMs), like recent Mamba architectures, are emerging as a promising alternative to CNN and Transformer networks. Existing Mamba-based restoration methods process visual data by leveraging a flatt…
DeblurringImage DeblurringMambaSingle Image Deblurring+1Gyro-based Neural Single Image Deblurring
In this paper, we present GyroDeblurNet, a novel single image deblurring method that utilizes a gyro sensor to effectively resolve the ill-posedness of image deblurring. The gyro sensor provides valuable information abou…
DeblurringImage DeblurringSingle Image DeblurringCascadedGaze: Efficiency in Global Context Extraction for Image Restoration
Image restoration tasks traditionally rely on convolutional neural networks. However, given the local nature of the convolutional operator, they struggle to capture global information. The promise of attention mechanisms…
DeblurringDecoderDenoisingImage Deblurring+3Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image
Despite the recent advancement in the study of removing motion blur in an image, it is still hard to deal with strong blurs. While there are limits in removing blurs from a single image, it has more potential to use mult…
DeblurringImage DeblurringSingle Image DeblurringVideo DeblurringView Adaptive Light Field Deblurring Networks with Depth Perception
The Light Field (LF) deblurring task is a challenging problem as the blur images are caused by different reasons like the camera shake and the object motion. The single image deblurring method is a possible way to solve …
DeblurringImage DeblurringSingle Image DeblurringA Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wild
Effective video frame interpolation hinges on the adept handling of motion in the input scene. Prior work acknowledges asynchronous event information for this, but often overlooks whether motion induces blur in the video…
DeblurringImage DeblurringSingle Image DeblurringVideo Frame InterpolationSingle Image Deblurring with Row-dependent Blur Magnitude
Image degradation often occurs during fast camera or object movements, regardless of the exposure modes: global shutter (GS) or rolling shutter (RS). Since these two exposure modes give rise to intrinsically differen…
Deblurringdistortion correctionImage DeblurringSingle Image DeblurringContinuous Facial Motion Deblurring
We introduce a novel framework for continuous facial motion deblurring that restores the continuous sharp moment latent in a single motion-blurred face image via a moment control factor. Although a motion-blurred image i…
DeblurringImage DeblurringSingle Image DeblurringVideo DeblurringMSSNet: Multi-Scale-Stage Network for Single Image Deblurring
Most of traditional single image deblurring methods before deep learning adopt a coarse-to-fine scheme that estimates a sharp image at a coarse scale and progressively refines it at finer scales. While this scheme has al…
DeblurringDeep LearningImage DeblurringSingle Image DeblurringUnfolding a blurred image
We present a solution for the goal of extracting a video from a single motion blurred image to sequentially reconstruct the clear views of a scene as beheld by the camera during the time of exposure. We first learn motio…
DeblurringDecoderImage DeblurringSingle Image Deblurring+1Adaptive Single Image Deblurring
This paper tackles the problem of dynamic scene deblurring. Although end-to-end fully convolutional designs have recently advanced the state-of-the-art in non-uniform motion deblurring, their performance-complexity trade…
DeblurringImage DeblurringSingle Image DeblurringXYDeblur: Divide and Conquer for Single Image Deblurring
Many convolutional neural networks (CNNs) for single image deblurring employ a U-Net structure to estimate latent sharp images. Having long been proven to be effective in image restoration tasks, a single lane of enc…
DeblurringDecoderImage DeblurringImage Restoration+1Unsupervised Domain-Specific Deblurring using Scale-Specific Attention
In the literature, coarse-to-fine or scale-recurrent approach i.e. progressively restoring a clean image from its low-resolution versions has been successfully employed for single image deblurring. However, a major disad…
DeblurringImage DeblurringSingle Image DeblurringImproving Image Restoration by Revisiting Global Information Aggregation
Global operations, such as global average pooling, are widely used in top-performance image restorers. They aggregate global information from input features along entire spatial dimensions but behave differently during t…
Color Image DenoisingDeblurringDenoisingGrayscale Image Denoising+8Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks. Conventional methods typically stack sub-networks with multi-scale input images and gradually improve …
DeblurringDecoderImage DeblurringSingle Image DeblurringImproving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
Many camera sensors use a dual-pixel (DP) design that operates as a rudimentary light field providing two sub-aperture views of a scene in a single capture. The DP sensor was developed to improve how cameras perform auto…
DeblurringDepth EstimationImage DeblurringImage Defocus Deblurring+3