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 14261450 of 7282 papers

TitleStatusHype
Entity-Level Text-Guided Image ManipulationCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
LAN: Learning to Adapt Noise for Image DenoisingCode1
On the Effectiveness of Dataset Alignment for Fake Image DetectionCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Joint Frequency and Image Space Learning for MRI Reconstruction and AnalysisCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning DenoisingCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst ImagesCode1
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair TrainingCode1
Joint Graph Rewiring and Feature Denoising via Spectral ResonanceCode1
Exploring Generative Neural Temporal Point ProcessCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
Optimizing for the Shortest Path in Denoising Diffusion ModelCode1
A generic diffusion-based approach for 3D human pose prediction in the wildCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
Iterative Gaussianization: from ICA to Random RotationsCode1
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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