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 921930 of 7282 papers

TitleStatusHype
High-quality Image Dehazing with Diffusion ModelCode1
Diffusion Model as Representation LearnerCode1
Physics-Guided Human Motion Capture with Pose Probability ModelingCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentationCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
Self-Reference Deep Adaptive Curve Estimation for Low-Light Image EnhancementCode1
Denoising Diffusion Probabilistic Model for Retinal Image Generation and SegmentationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
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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