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 551560 of 7282 papers

TitleStatusHype
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse ProblemsCode1
LAN: Learning to Adapt Noise for Image DenoisingCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec CompressionCode1
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and DeblurringCode1
Mask prior-guided denoising diffusion improves inverse protein foldingCode1
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion TransformerCode1
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert DenoisingCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
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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