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 10511075 of 7282 papers

TitleStatusHype
D^4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-OnCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
Graph Bottlenecked Social RecommendationCode1
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial NetworksCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
3D Quasi-Recurrent Neural Network for Hyperspectral Image DenoisingCode1
Geometric Neural Diffusion ProcessesCode1
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy ImagesCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion RestorationCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
A Physics-based Noise Formation Model for Extreme Low-light Raw DenoisingCode1
Advanced Deep Networks for 3D Mitochondria Instance SegmentationCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
GeoBi-GNN: Geometry-aware Bi-domain Mesh Denoising via Graph Neural NetworksCode1
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot NetworkCode1
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial AttacksCode1
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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