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 401–450 of 7282 papers

TitleStatusHype
Realistic and Efficient Face Swapping: A Unified Approach with Diffusion ModelsCode2
Real-World Mobile Image Denoising Dataset with Efficient BaselinesCode2
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsCode2
ReMoDiffuse: Retrieval-Augmented Motion Diffusion ModelCode2
Diffusion models as plug-and-play priorsCode2
Diffusion Models and Representation Learning: A SurveyCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
CARD: Classification and Regression Diffusion ModelsCode2
CascadedGaze: Efficiency in Global Context Extraction for Image RestorationCode2
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKVCode2
Improving Image Restoration by Revisiting Global Information AggregationCode2
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
Attack-Resilient Image Watermarking Using Stable DiffusionCode2
DiAD: A Diffusion-based Framework for Multi-class Anomaly DetectionCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
DepthMaster: Taming Diffusion Models for Monocular Depth EstimationCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
SF-V: Single Forward Video Generation ModelCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
Simple diffusion: End-to-end diffusion for high resolution imagesCode2
Diffusion Bridge Implicit ModelsCode2
SingularTrajectory: Universal Trajectory Predictor Using Diffusion ModelCode2
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noiseCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
Diffusion Transformer PolicyCode2
EasyText: Controllable Diffusion Transformer for Multilingual Text RenderingCode2
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
Structured Denoising Diffusion Models in Discrete State-SpacesCode2
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency ModelsCode2
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose EstimationCode2
Collaborative Diffusion for Multi-Modal Face Generation and EditingCode2
Optimal Density Functions for Weighted Convolution in Learning ModelsCode2
Coherent and Multi-modality Image Inpainting via Latent Space OptimizationCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
TabDDPM: Modelling Tabular Data with Diffusion ModelsCode2
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
Progressive Correspondence Pruning by Consensus LearningCode1
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic ModelCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
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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