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

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Showing 3611–3620 of 7282 papers

TitleStatusHype
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Guided Image Synthesis via Initial Image Editing in Diffusion ModelCode0
Contrastive Learning for Low-light Raw Denoising—0
Denoising-Contrastive Alignment for Continuous Sign Language Recognition—0
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
LayoutDM: Transformer-based Diffusion Model for Layout Generation—0
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator—0
Denoising Multi-modal Sequential Recommenders with Contrastive Learning—0
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data—0
RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified