Image Restoration

456 papers with code • 1 benchmarks • 12 datasets

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).

Source: Blind Image Restoration without Prior Knowledge

Libraries

Use these libraries to find Image Restoration models and implementations
5 papers
363
4 papers
1,086
4 papers
620
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See all 5 libraries.

Efficient Diffusion Model for Image Restoration by Residual Shifting

zsyoaoa/resshift 12 Mar 2024

While diffusion-based image restoration (IR) methods have achieved remarkable success, they are still limited by the low inference speed attributed to the necessity of executing hundreds or even thousands of sampling steps.

466
12 Mar 2024

Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure

xiaojihh/cl_all-in-one 12 Mar 2024

It considers the characteristics of the image restoration task with multiple degenerations in continual learning, and the knowledge for different degenerations can be shared and accumulated in the unified network structure.

1
12 Mar 2024

Generalizing to Out-of-Sample Degradations via Model Reprogramming

ddghjikle/out-of-sample-restoration 9 Mar 2024

To address this issue, we propose a model reprogramming framework, which translates out-of-sample degradations by quantum mechanic and wave functions.

0
09 Mar 2024

Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera

chengxuliu/ddrnet 8 Mar 2024

The pixel array of light-emitting diodes used for display diffracts and attenuates incident light, causing various degradations as the light intensity changes.

5
08 Mar 2024

FriendNet: Detection-Friendly Dehazing Network

fanyihua0309/friendnet 7 Mar 2024

In this paper, we raise an intriguing question: can the combination of image restoration and object detection enhance detection performance in adverse weather conditions?

1
07 Mar 2024

Dual-domain strip attention for image restoration

c-yn/DSANet Neural Networks 2024

In this paper, we develop a dual-domain strip attention mechanism for image restoration by enhancing representation learning, which consists of spatial and frequency strip attention units.

29
01 Mar 2024

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models

lipang/hirdiff 24 Feb 2024

Specifically, the reduced image, which has a low spectral dimension, lies in the image field and can be inferred from our improved diffusion model where a new guidance function with total variation (TV) prior is designed to ensure that the reduced image can be well sampled.

23
24 Feb 2024

MambaIR: A Simple Baseline for Image Restoration with State-Space Model

csguoh/mambair 23 Feb 2024

In this way, our MambaIR takes advantage of the local pixel similarity and reduces the channel redundancy.

143
23 Feb 2024

Gyroscope-Assisted Motion Deblurring Network

lsmlovefm/GAMD-Net 10 Feb 2024

Yet, their practical usage in real-world deblurring, especially motion blur, remains limited due to the lack of pixel-aligned training triplets (background, blurred image, and blur heat map) and restricted information inherent in blurred images.

3
10 Feb 2024

U-shaped Vision Mamba for Single Image Dehazing

zzr-idam/uvm-net 6 Feb 2024

Currently, Transformer is the most popular architecture for image dehazing, but due to its large computational complexity, its ability to handle long-range dependency is limited on resource-constrained devices.

57
06 Feb 2024