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 551560 of 7282 papers

TitleStatusHype
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be ConsistentCode1
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising AutoencodersCode1
Diffusion Models for Black-Box OptimizationCode1
Diffusion Models for Graphs Benefit From Discrete State SpacesCode1
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency ModelsCode1
Diffusion Models as Network Optimizers: Explorations and AnalysisCode1
Adaptive Graph Contrastive Learning for RecommendationCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
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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