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 881890 of 7282 papers

TitleStatusHype
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration0
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
Contrastive Learning Augmented Social RecommendationsCode0
Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things0
Time Series Language Model for Descriptive Caption Generation0
InDeed: Interpretable image deep decomposition with guaranteed generalizability0
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation0
Optimizing Noise Schedules of Generative Models in High Dimensionss0
Conditional Consistency Guided Image Translation and EnhancementCode1
TFCustom: Customized Image Generation with Time-Aware Frequency Feature Guidance0
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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