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 3140 of 7282 papers

TitleStatusHype
Adversarial Diffusion Compression for Real-World Image Super-ResolutionCode4
One Step Diffusion via Shortcut ModelsCode4
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense PredictionCode4
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User FeedbackCode4
Diffusion Models in Low-Level Vision: A SurveyCode4
AsyncDiff: Parallelizing Diffusion Models by Asynchronous DenoisingCode4
MotionClone: Training-Free Motion Cloning for Controllable Video GenerationCode4
DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR ImagesCode4
PromptFix: You Prompt and We Fix the PhotoCode4
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion ModelsCode4
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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