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 351–400 of 7282 papers

TitleStatusHype
Diffusion models as plug-and-play priorsCode2
D2GV: Deformable 2D Gaussian Splatting for Video Representation in 400FPSCode2
Inversion-Based Style Transfer with Diffusion ModelsCode2
Diffusion Predictive Control with ConstraintsCode2
KBNet: Kernel Basis Network for Image RestorationCode2
Conditional Image Synthesis with Diffusion Models: A SurveyCode2
Large Language Models are Efficient Learners of Noise-Robust Speech RecognitionCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network GenerationCode2
Learning Truncated Causal History Model for Video RestorationCode2
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Liquid Warping GAN with Attention: A Unified Framework for Human Image SynthesisCode2
A Geometric Perspective on Diffusion ModelsCode2
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware TransformersCode2
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
Cross-video Identity Correlating for Person Re-identification Pre-trainingCode2
Cross-view Masked Diffusion Transformers for Person Image SynthesisCode2
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image RestorationCode2
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition AbilitiesCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine SamplingCode2
Mixed Diffusion for 3D Indoor Scene SynthesisCode2
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
Diffusion Bridge Implicit ModelsCode2
AnoDDPM: Anomaly Detection With Denoising Diffusion Probabilistic Models Using Simplex NoiseCode2
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion ModelsCode2
Diffusion^2: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion ModelsCode2
Omegance: A Single Parameter for Various Granularities in Diffusion-Based SynthesisCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationCode2
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
DiffIR: Efficient Diffusion Model for Image RestorationCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
DDP: Diffusion Model for Dense Visual PredictionCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
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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