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 131140 of 7282 papers

TitleStatusHype
dKV-Cache: The Cache for Diffusion Language ModelsCode2
Degradation-Aware Feature Perturbation for All-in-One Image RestorationCode2
Non-stationary Diffusion For Probabilistic Time Series ForecastingCode2
Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image DenoisingCode2
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge ModelsCode2
Gaussian Mixture Flow Matching ModelsCode2
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile DevicesCode2
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design SpaceCode2
DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image AnimationCode2
Riemannian Optimization on Relaxed Indicator Matrix ManifoldCode2
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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