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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1101–1150 of 7282 papers

TitleStatusHype
Deep Denoising For Scientific Discovery: A Case Study In Electron MicroscopyCode1
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environmentCode1
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising PackageCode1
IDR: Self-Supervised Image Denoising via Iterative Data RefinementCode1
Image Super-Resolution via Iterative RefinementCode1
InstructG2I: Synthesizing Images from Multimodal Attributed GraphsCode1
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
DCT2net: an interpretable shallow CNN for image denoisingCode1
DDM^2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion ModelsCode1
Homotopic Gradients of Generative Density Priors for MR Image ReconstructionCode1
A Comparison of Image Denoising MethodsCode1
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM PromptsCode1
How Framelets Enhance Graph Neural NetworksCode1
Data-Driven Denoising of Stationary Accelerometer SignalsCode1
Comparison of Image Quality Models for Optimization of Image Processing SystemsCode1
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
High-quality Image Dehazing with Diffusion ModelCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean dataCode1
HINet: Half Instance Normalization Network for Image RestorationCode1
How to Backdoor Diffusion Models?Code1
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial NetworksCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
High-Frequency Space Diffusion Models for Accelerated MRICode1
CNN-based InSAR Denoising and Coherence MetricCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionCode1
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionCode1
High Perceptual Quality Image Denoising with a Posterior Sampling CGANCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
D^4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-OnCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
DALE: Generative Data Augmentation for Low-Resource Legal NLPCode1
Dynamic Addition of Noise in a Diffusion Model for Anomaly DetectionCode1
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic ModelsCode1
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image SynthesisCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
Aerial Height Prediction and Refinement Neural Networks with Semantic and Geometric GuidanceCode1
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion ModelsCode1
Deterministic training of generative autoencoders using invertible layersCode1
Data-Centric Learning from Unlabeled Graphs with Diffusion ModelCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
D3A-TS: Denoising-Driven Data Augmentation in Time SeriesCode1
Heterogeneous window transformer for image denoisingCode1
High Perceptual Quality Wireless Image Delivery with Denoising Diffusion ModelsCode1
Show:102550
← PrevPage 23 of 146Next →
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