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 5160 of 7282 papers

TitleStatusHype
Adversarial Diffusion Compression for Real-World Image Super-ResolutionCode4
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense PredictionCode4
PromptFix: You Prompt and We Fix the PhotoCode4
3D Diffuser Actor: Policy Diffusion with 3D Scene RepresentationsCode3
Improved Denoising Diffusion Probabilistic ModelsCode3
3D Diffuser Actor: Policy Diffusion with 3D Scene RepresentationsCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain ActivityCode3
Image Quality Assessment for Magnetic Resonance ImagingCode3
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
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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