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 421430 of 7282 papers

TitleStatusHype
CARD: Classification and Regression Diffusion ModelsCode2
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
Improved Vector Quantized Diffusion ModelsCode2
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and InterpolationCode2
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech SynthesisCode2
On the Generalization of BasicVSR++ to Video Deblurring and DenoisingCode2
iSDF: Real-Time Neural Signed Distance Fields for Robot PerceptionCode2
Practical Blind Image Denoising via Swin-Conv-UNet and Data SynthesisCode2
SUNet: Swin Transformer UNet for Image DenoisingCode2
Speech Denoising in the Waveform Domain with Self-AttentionCode2
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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