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 10711080 of 7282 papers

TitleStatusHype
Tiny Object Detection with Single Point Supervision0
3D-Consistent Image Inpainting with Diffusion Models0
Enhanced 3D Generation by 2D Editing0
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling0
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection0
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert DenoisingCode1
Enhancing Sample Generation of Diffusion Models using Noise Level Correction0
A Comparative Study of Image Denoising Algorithms0
Equivariant Denoisers for Image Restoration0
Show:102550
← PrevPage 108 of 729Next →

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