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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4101–4110 of 7282 papers

TitleStatusHype
Sparse Models for Machine Learning—0
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation—0
Distribution-Aligned Diffusion for Human Mesh Recovery—0
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations—0
Head-Neck Dual-energy CT Contrast Media Reduction Using Diffusion Models—0
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation—0
Efficient Transfer Learning in Diffusion Models via Adversarial Noise—0
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural NetworkCode0
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise CleaningCode0
SDeMorph: Towards Better Facial De-morphing from Single Morph—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified