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 25912600 of 7282 papers

TitleStatusHype
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule GenerationCode0
Denoising Vision TransformersCode3
Two-stage Progressive Residual Dense Attention Network for Image DenoisingCode0
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational PosteriorsCode0
Bring Metric Functions into Diffusion Models0
Improving Diffusion-Based Image Synthesis with Context Prediction0
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge DetectionCode3
Boosting of Implicit Neural Representation-based Image DenoiserCode1
DDPM based X-ray Image Synthesizer0
DiffYOLO: Object Detection for Anti-Noise via YOLO and 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