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 381390 of 7282 papers

TitleStatusHype
Diffusion Bridge Implicit ModelsCode2
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video GenerationCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsCode2
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion ModelsCode2
Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image DenoisingCode2
DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR ImagesCode2
Show:102550
← PrevPage 39 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