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 33013310 of 7282 papers

TitleStatusHype
Autoregressive Diffusion Model for Graph GenerationCode1
Not All Steps are Created Equal: Selective Diffusion Distillation for Image ManipulationCode1
Diffusion Models Beat GANs on Image ClassificationCode1
A Novel Truncated Norm Regularization Method for Multi-channel Color Image DenoisingCode0
Noise-aware Speech Enhancement using Diffusion Probabilistic ModelCode1
Multitemporal SAR images change detection and visualization using RABASAR and simplified GLR0
ExposureDiffusion: Learning to Expose for Low-light Image EnhancementCode1
Certified Robustness for Large Language Models with Self-DenoisingCode1
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.00
Image Denoising and the Generative Accumulation of PhotonsCode1
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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