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 18511860 of 7282 papers

TitleStatusHype
A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement0
Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple SclerosisCode0
GenCAD-Self-Repairing: Feasibility Enhancement for 3D CAD Generation0
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems0
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter0
ZeroSep: Separate Anything in Audio with Zero Training0
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers0
Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample FilteringCode0
Composite Reward Design in PPO-Driven Adaptive FilteringCode0
TRACE: Trajectory-Constrained Concept Erasure in Diffusion Models0
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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