SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 27712780 of 7282 papers

TitleStatusHype
Training Neural Networks on RAW and HDR Images for Restoration TasksCode1
Adaptive Multi-step Refinement Network for Robust Point Cloud RegistrationCode0
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context LearningCode1
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction0
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion GenerationCode1
X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model0
DiffiT: Diffusion Vision Transformers for Image GenerationCode2
Fully Spiking Denoising Diffusion Implicit ModelsCode1
Equivariant plug-and-play image reconstruction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified