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 19912000 of 7282 papers

TitleStatusHype
Imitating the Functionality of Image-to-Image Models Using a Single Example0
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting0
RecDiff: Diffusion Model for Social RecommendationCode2
Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data0
Knowledge Enhanced Multi-intent Transformer Network for RecommendationCode0
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation0
Information Theoretic Text-to-Image Alignment0
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion SamplingCode0
Mixed Diffusion for 3D Indoor Scene SynthesisCode2
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models0
Show:102550
← PrevPage 200 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