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 251275 of 7282 papers

TitleStatusHype
3D Human Mesh Estimation from Virtual MarkersCode2
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
Cross-video Identity Correlating for Person Re-identification Pre-trainingCode2
Cross-view Masked Diffusion Transformers for Person Image SynthesisCode2
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationCode2
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup TablesCode2
DiSA: Diffusion Step Annealing in Autoregressive Image GenerationCode2
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained DiffusionCode2
DiGress: Discrete Denoising diffusion for graph generationCode2
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionCode2
DocDiff: Document Enhancement via Residual Diffusion ModelsCode2
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
FRAG: Frequency Adapting Group for Diffusion Video EditingCode2
Diffusion Recommender ModelCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
Diffusion Predictive Control with ConstraintsCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
Diffusion models as plug-and-play priorsCode2
Diffusion Models and Representation Learning: A SurveyCode2
Diffusion Models in Vision: A SurveyCode2
Diffusion Transformer PolicyCode2
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
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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