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 20712080 of 7282 papers

TitleStatusHype
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning0
Response Matching for generating materials and molecules0
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingCode1
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models0
UnMarker: A Universal Attack on Defensive Image WatermarkingCode3
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
Do Bayesian imaging methods report trustworthy probabilities?0
SAR Image Synthesis with Diffusion Models0
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival0
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising0
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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