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 41214130 of 7282 papers

TitleStatusHype
IC3D: Image-Conditioned 3D Diffusion for Shape Generation0
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning0
Exploring validation metrics for offline model-based optimisation with diffusion modelsCode0
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property PredictionCode1
Statistically unbiased prediction enables accurate denoising of voltage imaging dataCode1
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction0
Iterative execution of discrete and inverse discrete Fourier transforms with applications for signal denoising via sparsification0
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationCode2
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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