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 18611870 of 7282 papers

TitleStatusHype
Composite Reward Design in PPO-Driven Adaptive FilteringCode0
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning0
PanoWan: Lifting Diffusion Video Generation Models to 360° with Latitude/Longitude-aware Mechanisms0
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study0
Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification0
Algorithm Unrolling-based Denoising of Multimodal Graph Signals0
Plug-and-Play Posterior Sampling for Blind Inverse Problems0
Shapley Value-driven Data Pruning for Recommender SystemsCode0
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples0
Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization0
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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