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 13111320 of 7282 papers

TitleStatusHype
Rectified Diffusion Guidance for Conditional Generation0
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation0
Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality0
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D GenerationCode3
Retrieval-Augmented Diffusion Models for Time Series ForecastingCode2
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm0
Semi-Implicit Functional Gradient Flow for Efficient Sampling0
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams0
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows0
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
Show:102550
← PrevPage 132 of 729Next →

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