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 14111420 of 7282 papers

TitleStatusHype
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature RepresentationsCode1
Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized SolutionsCode1
Decoder Denoising Pretraining for Semantic SegmentationCode1
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelCode1
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
E-MLB: Multilevel Benchmark for Event-Based Camera DenoisingCode1
Crystal Structure Prediction by Joint Equivariant DiffusionCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
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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