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

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Showing 3001–3025 of 7282 papers

TitleStatusHype
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser—0
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects—0
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement—0
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process—0
Graph Based Sinogram Denoising for Tomographic Reconstructions—0
Evaluation of Transfer Learning for Polish with a Text-to-Text Model—0
Evaluation of Transfer Learning for Polish with a text-to-text model—0
A Semantic Modular Framework for Events Topic Modeling in Social Media—0
Evaluation of Denoising Techniques for EOG signals based on SNR Estimation—0
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts—0
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation—0
Convolutional Neural Networks Analyzed via Inverse Problem Theory and Sparse Representations—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—0
Gradual Training Method for Denoising Auto Encoders—0
Frequency Domain Loss Function for Deep Exposure Correction of Dark Images—0
A Face Fairness Framework for 3D Meshes—0
Frequency-Time Diffusion with Neural Cellular Automata—0
Frequency-Weighted Robust Tensor Principal Component Analysis—0
Evaluating the design space of diffusion-based generative models—0
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications—0
FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation—0
4D X-Ray CT Reconstruction using Multi-Slice Fusion—0
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging—0
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified