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 13511360 of 7282 papers

TitleStatusHype
Joint Demosaicing and Denoising With Self GuidanceCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any ArchitectureCode1
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior EnhancementCode1
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam SearchCode1
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-TransformerCode1
Score-based denoising for atomic structure identificationCode1
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
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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