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 161170 of 7282 papers

TitleStatusHype
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image RestorationCode2
DepthMaster: Taming Diffusion Models for Monocular Depth EstimationCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
MagicFace: High-Fidelity Facial Expression Editing with Action-Unit ControlCode2
Edicho: Consistent Image Editing in the WildCode2
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing ControlCode2
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask LearningCode2
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-ReflectionCode2
Diffusion Predictive Control with ConstraintsCode2
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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