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 13811390 of 7282 papers

TitleStatusHype
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstructionCode1
EdiBERT, a generative model for image editingCode1
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCode1
IDR: Self-Supervised Image Denoising via Iterative Data RefinementCode1
Unsupervised Image Denoising with Frequency Domain KnowledgeCode1
Vector Quantized Diffusion Model for Text-to-Image SynthesisCode1
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image PriorCode1
Exploring Versatile Prior for Human Motion via Motion Frequency GuidanceCode1
Fast mesh denoising with data driven normal filtering using deep variational autoencodersCode1
One-shot Weakly-Supervised Segmentation in Medical ImagesCode1
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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