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 14711480 of 7282 papers

TitleStatusHype
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Modeling Deep Learning Based Privacy Attacks on Physical MailCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion ModelsCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
Certified Robustness for Large Language Models with Self-DenoisingCode1
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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