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 13261350 of 7282 papers

TitleStatusHype
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
4D Facial Expression Diffusion ModelCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Diffusive Gibbs SamplingCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
High Perceptual Quality Image Denoising with a Posterior Sampling CGANCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
Score-based denoising for atomic structure identificationCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
Chip Placement with Diffusion ModelsCode1
How Framelets Enhance Graph Neural NetworksCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
D^4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-OnCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising PackageCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
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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