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 14511460 of 7282 papers

TitleStatusHype
Simple GNN Regularisation for 3D Molecular Property Prediction & BeyondCode1
Non Gaussian Denoising Diffusion ModelsCode1
SinIR: Efficient General Image Manipulation with Single Image ReconstructionCode1
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean ImagesCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Adversarial purification with Score-based generative modelsCode1
TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT DenoisingCode1
MemStream: Memory-Based Streaming Anomaly DetectionCode1
Uformer: A General U-Shaped Transformer for Image RestorationCode1
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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