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 961970 of 7282 papers

TitleStatusHype
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly DetectionCode1
PreDiff: Precipitation Nowcasting with Latent Diffusion ModelsCode1
Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW RadarsCode1
Not All Steps are Created Equal: Selective Diffusion Distillation for Image ManipulationCode1
Autoregressive Diffusion Model for Graph GenerationCode1
Diffusion Models Beat GANs on Image ClassificationCode1
Noise-aware Speech Enhancement using Diffusion Probabilistic ModelCode1
ExposureDiffusion: Learning to Expose for Low-light Image EnhancementCode1
Certified Robustness for Large Language Models with Self-DenoisingCode1
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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