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 481490 of 7282 papers

TitleStatusHype
The Tenth NTIRE 2025 Image Denoising Challenge ReportCode1
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual PerceptionCode1
Invariance Matters: Empowering Social Recommendation via Graph Invariant LearningCode1
ID-Booth: Identity-consistent Face Generation with Diffusion ModelsCode1
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion ModelsCode1
Fine-Tuning Visual Autoregressive Models for Subject-Driven GenerationCode1
NoProp: Training Neural Networks without Back-propagation or Forward-propagationCode1
Enhancing Creative Generation on Stable Diffusion-based ModelsCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
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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