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 111120 of 7282 papers

TitleStatusHype
AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image GenerationCode3
Around the World in 80 Timesteps: A Generative Approach to Global Visual GeolocationCode3
Diffusion-TS: Interpretable Diffusion for General Time Series GenerationCode3
SwinIR: Image Restoration Using Swin TransformerCode3
Discrete Diffusion in Large Language and Multimodal Models: A SurveyCode3
Improved Denoising Diffusion Probabilistic ModelsCode3
3D Diffuser Actor: Policy Diffusion with 3D Scene RepresentationsCode3
AnyTop: Character Animation Diffusion with Any TopologyCode3
On the Trajectory Regularity of ODE-based Diffusion SamplingCode3
3D Human Mesh Estimation from Virtual MarkersCode2
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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