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 10761100 of 7282 papers

TitleStatusHype
DDT: Dual-branch Deformable Transformer for Image DenoisingCode1
Soundini: Sound-Guided Diffusion for Natural Video EditingCode1
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsCode1
Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo DenoisingCode1
Diffusion Models for Constrained DomainsCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image SynthesisCode1
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit ModelsCode1
RoSteALS: Robust Steganography using Autoencoder Latent SpaceCode1
Graph Collaborative Signals Denoising and Augmentation for RecommendationCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular CloudsCode1
IterativePFN: True Iterative Point Cloud FilteringCode1
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair TrainingCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot NetworkCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Tunable Convolutions with Parametric Multi-Loss OptimizationCode1
Spectral Enhanced Rectangle Transformer for Hyperspectral Image DenoisingCode1
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World DenoisingCode1
-Diff: Infinite Resolution Diffusion with Subsampled Mollified StatesCode1
Diffusion Action SegmentationCode1
Show:102550
← PrevPage 44 of 292Next →

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