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 501510 of 7282 papers

TitleStatusHype
Crystal Structure Prediction by Joint Equivariant DiffusionCode1
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series ForecastingCode1
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual DiffusionCode1
Diffusion-based Graph Generative MethodsCode1
Progressive Correspondence Pruning by Consensus LearningCode1
Accelerating Diffusion Models via Early Stop of the Diffusion ProcessCode1
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
A Neural-Network-Based Convex Regularizer for Inverse ProblemsCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
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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