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 251300 of 7282 papers

TitleStatusHype
3D Human Mesh Estimation from Virtual MarkersCode2
DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image AnimationCode2
Edicho: Consistent Image Editing in the WildCode2
ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningCode2
Fixed Point Diffusion ModelsCode2
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-DenoisingCode2
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score MatchingCode2
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic PropagationCode2
DPoser: Diffusion Model as Robust 3D Human Pose PriorCode2
DocDiff: Document Enhancement via Residual Diffusion ModelsCode2
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingCode2
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image PersonalizationCode2
dKV-Cache: The Cache for Diffusion Language ModelsCode2
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsCode2
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noiseCode2
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRCode2
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action PolicyCode2
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup TablesCode2
DiSA: Diffusion Step Annealing in Autoregressive Image GenerationCode2
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial OptimizationCode2
Diffusion Transformer PolicyCode2
DiGress: Discrete Denoising diffusion for graph generationCode2
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Diffusion models as plug-and-play priorsCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
Diffusion Models and Representation Learning: A SurveyCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
Diffusion Recommender ModelCode2
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationCode2
DualDn: Dual-domain Denoising via Differentiable ISPCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
Diffusion Bridge Implicit ModelsCode2
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache SharingCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
CascadedGaze: Efficiency in Global Context Extraction for Image RestorationCode2
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
Diffusion^2: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion ModelsCode2
Diffusion Models in Vision: A SurveyCode2
Diffusion Predictive Control with ConstraintsCode2
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
CGVQM+D: Computer Graphics Video Quality Metric and DatasetCode2
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
DiffiT: Diffusion Vision Transformers for Image GenerationCode2
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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