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 1026–1050 of 7282 papers

TitleStatusHype
UDPM: Upsampling Diffusion Probabilistic ModelsCode1
NAP: Neural 3D Articulation PriorCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Knowledge Diffusion for DistillationCode1
A Neural Space-Time Representation for Text-to-Image PersonalizationCode1
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time StepsCode1
Sin3DM: Learning a Diffusion Model from a Single 3D Textured ShapeCode1
WaveDM: Wavelet-Based Diffusion Models for Image RestorationCode1
Multi-Echo Denoising in Adverse WeatherCode1
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for RecommendationCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
Reciprocal Attention Mixing Transformer for Lightweight Image RestorationCode1
FLIGHT Mode On: A Feather-Light Network for Low-Light Image EnhancementCode1
PTQD: Accurate Post-Training Quantization for Diffusion ModelsCode1
Uncertainty Guided Label Denoising for Document-level Distant Relation ExtractionCode1
Adaptive Graph Contrastive Learning for RecommendationCode1
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-SimilarityCode1
Pyramid Diffusion Models For Low-light Image EnhancementCode1
Discrete Diffusion Probabilistic Models for Symbolic Music GenerationCode1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI researchCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
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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