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 36613670 of 7282 papers

TitleStatusHype
Towards Controllable Diffusion Models via Reward-Guided Exploration0
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding0
Survey on LiDAR Perception in Adverse Weather Conditions0
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
EWT: Efficient Wavelet-Transformer for Single Image Denoising0
Gated Multi-Resolution Transfer Network for Burst Restoration and EnhancementCode1
Soundini: Sound-Guided Diffusion for Natural Video EditingCode1
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsCode2
Discovering Structure From Corruption for Unsupervised Image Reconstruction0
InterGen: Diffusion-based Multi-human Motion Generation under Complex InteractionsCode2
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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