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 671680 of 7282 papers

TitleStatusHype
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse ProblemsCode1
Stable Neighbor Denoising for Source-free Domain Adaptive SegmentationCode1
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel NoisesCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural NetworksCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
TIDMAD: Time Series Dataset for Discovering Dark Matter with AI DenoisingCode1
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion ModelsCode1
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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