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 37813790 of 7282 papers

TitleStatusHype
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
DiffIR: Efficient Diffusion Model for Image RestorationCode2
P+: Extended Textual Conditioning in Text-to-Image GenerationCode1
ShabbyPages: A Reproducible Document Denoising and Binarization Dataset0
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
The Intel Neuromorphic DNS ChallengeCode0
Hybrid Spectral Denoising Transformer with Guided AttentionCode1
Stochastic Interpolants: A Unifying Framework for Flows and DiffusionsCode2
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class LabelsCode1
VideoFusion: Decomposed Diffusion Models for High-Quality Video GenerationCode4
Show:102550
← PrevPage 379 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