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 1401–1450 of 7282 papers

TitleStatusHype
Not All Steps are Created Equal: Selective Diffusion Distillation for Image ManipulationCode1
Object-aware Inversion and Reassembly for Image EditingCode1
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting SurfacesCode1
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance ScaleCode1
Joint self-supervised blind denoising and noise estimationCode1
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
E-MLB: Multilevel Benchmark for Event-Based Camera DenoisingCode1
End-to-End Diffusion Latent Optimization Improves Classifier GuidanceCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video ParsingCode1
Deep Audio Waveform PriorCode1
On Efficient Transformer-Based Image Pre-training for Low-Level VisionCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text SummarizationCode1
Joint multi-dimensional dynamic attention and transformer for general image restorationCode1
Enhancing Creative Generation on Stable Diffusion-based ModelsCode1
Crystal Structure Prediction by Joint Equivariant DiffusionCode1
EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound NoiseCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsCode1
Knowledge Diffusion for DistillationCode1
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT DenoisingCode1
Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationCode1
Entity-Level Text-Guided Image ManipulationCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
LAN: Learning to Adapt Noise for Image DenoisingCode1
On the Effectiveness of Dataset Alignment for Fake Image DetectionCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Joint Frequency and Image Space Learning for MRI Reconstruction and AnalysisCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning DenoisingCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst ImagesCode1
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair TrainingCode1
Joint Graph Rewiring and Feature Denoising via Spectral ResonanceCode1
Exploring Generative Neural Temporal Point ProcessCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
Optimizing for the Shortest Path in Denoising Diffusion ModelCode1
A generic diffusion-based approach for 3D human pose prediction in the wildCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
Iterative Gaussianization: from ICA to Random RotationsCode1
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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