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 14511475 of 7282 papers

TitleStatusHype
Learning Deformable Kernels for Image and Video DenoisingCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise MappingCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and BeyondCode1
Deep Energy Estimator NetworksCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Deep Equilibrium Approaches to Diffusion ModelsCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionCode1
D^4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-OnCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
LAN: Learning to Adapt Noise for Image DenoisingCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
Latent-based Diffusion Model for Long-tailed RecognitionCode1
DALE: Generative Data Augmentation for Low-Resource Legal NLPCode1
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine TranslationCode1
Physics-based Noise Modeling for Extreme Low-light PhotographyCode1
Label-Noise Robust Diffusion ModelsCode1
Deep Denoising For Scientific Discovery: A Case Study In Electron MicroscopyCode1
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language ModelsCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting SurfacesCode1
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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