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 19211930 of 7282 papers

TitleStatusHype
Preserving Identity with Variational Score for General-purpose 3D Editing0
A Label-Free and Non-Monotonic Metric for Evaluating Denoising in Event Cameras0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs0
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
Graph Bottlenecked Social RecommendationCode1
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding0
DiffPop: Plausibility-Guided Object Placement Diffusion for Image Composition0
DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction0
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionsCode1
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results0
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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