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 13211330 of 7282 papers

TitleStatusHype
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward OnesCode1
Total Variation Optimization Layers for Computer VisionCode1
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial TrainingCode1
Perception Prioritized Training of Diffusion ModelsCode1
StyleFool: Fooling Video Classification Systems via Style TransferCode1
Target and Task specific Source-Free Domain Adaptive Image SegmentationCode1
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce SearchCode1
Reverse Engineering of Imperceptible Adversarial Image PerturbationsCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising AutoencodersCode1
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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