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 201210 of 7282 papers

TitleStatusHype
Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its MiscibilityCode2
On Denoising Walking Videos for Gait Recognition0
Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model0
CIM-NET: A Video Denoising Deep Neural Network Model Optimized for Computing-in-Memory Architectures0
Applications of Modular Co-Design for De Novo 3D Molecule Generation0
RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration0
Towards more transferable adversarial attack in black-box manner0
Brightness-Invariant Tracking Estimation in Tagged MRI0
CONCORD: Concept-Informed Diffusion for Dataset DistillationCode0
TRAIL: Transferable Robust Adversarial Images via Latent diffusion0
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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