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 20312040 of 7282 papers

TitleStatusHype
ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score MatchingCode0
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition0
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation0
Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems0
ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model0
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model0
Nonlinear denoising score matching for enhanced learning of structured distributions0
Learning to Discretize Denoising Diffusion ODEsCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer ModelsCode0
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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