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 10261050 of 7282 papers

TitleStatusHype
Adversarial Counterfactual Visual ExplanationsCode1
3D Shape Generation and Completion through Point-Voxel DiffusionCode1
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
Data-Driven Denoising of Stationary Accelerometer SignalsCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
GENIE: Higher-Order Denoising Diffusion SolversCode1
GeoBi-GNN: Geometry-aware Bi-domain Mesh Denoising via Graph Neural NetworksCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
Generative Modeling with Optimal Transport MapsCode1
Generative Proxemics: A Prior for 3D Social Interaction from ImagesCode1
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsCode1
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT DenoisingCode1
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
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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