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 1301–1350 of 7282 papers

TitleStatusHype
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
A Differentiable Perceptual Audio Metric Learned from Just Noticeable DifferencesCode1
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Generative diffusion model with inverse renormalization group flowsCode1
Generative Prompt Model for Weakly Supervised Object LocalizationCode1
Generative Proxemics: A Prior for 3D Social Interaction from ImagesCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score MatchingCode1
Diffusion Model for Dense MatchingCode1
Civil Rephrases Of Toxic Texts With Self-Supervised TransformersCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property PredictionCode1
Graph Bottlenecked Social RecommendationCode1
Artifact Restoration in Histology Images with Diffusion Probabilistic ModelsCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
Controlling Latent Diffusion Using Latent CLIPCode1
A cross Transformer for image denoisingCode1
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo LabellingCode1
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based PenaltiesCode1
Guaranteed Tensor Recovery Fused Low-rankness and SmoothnessCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
4D Facial Expression Diffusion ModelCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Diffusive Gibbs SamplingCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
High Perceptual Quality Image Denoising with a Posterior Sampling CGANCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
Score-based denoising for atomic structure identificationCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
Chip Placement with Diffusion ModelsCode1
How Framelets Enhance Graph Neural NetworksCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
D^4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-OnCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising PackageCode1
DiffCMR: Fast Cardiac MRI Reconstruction with 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