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

Showing 301325 of 7282 papers

TitleStatusHype
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
CMGAN: Conformer-Based Metric-GAN for Monaural Speech EnhancementCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
Collaborative Diffusion for Multi-Modal Face Generation and EditingCode2
Diffusion Bridge Implicit ModelsCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image RestorationCode2
AnoDDPM: Anomaly Detection With Denoising Diffusion Probabilistic Models Using Simplex NoiseCode2
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
CascadedGaze: Efficiency in Global Context Extraction for Image RestorationCode2
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design SpaceCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningCode2
Diffusion^2: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion ModelsCode2
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
Conditional Image Synthesis with Diffusion Models: A SurveyCode2
Cross-video Identity Correlating for Person Re-identification Pre-trainingCode2
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion ModelsCode2
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified