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 26912700 of 7282 papers

TitleStatusHype
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs0
Assessing Adversarial Replay and Deep Learning-Driven Attacks on Specific Emitter Identification-based Security Approaches0
AAMDM: Accelerated Auto-regressive Motion Diffusion Model0
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model0
Increasing Iterate Averaging for Solving Saddle-Point Problems0
CRISPnet: Color Rendition ISP Net0
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation0
A Fused Deep Denoising Sound Coding Strategy for Bilateral Cochlear Implants0
Creatively Upscaling Images with Global-Regional Priors0
Crafting Parts for Expressive Object Composition0
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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