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 2001–2050 of 7282 papers

TitleStatusHype
LED: A Large-scale Real-world Paired Dataset for Event Camera DenoisingCode0
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image SegmentationCode0
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Recurrent Deep Kernel Learning of Dynamical Systems—0
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-ClassificationCode0
MotionFollower: Editing Video Motion via Lightweight Score-Guided DiffusionCode3
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence—0
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering—0
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification—0
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow MatchingCode2
Going beyond Compositions, DDPMs Can Produce Zero-Shot InterpolationsCode0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model DynamicsCode1
Diffusion Model Patching via Mixture-of-Prompts—0
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionCode1
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers—0
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization—0
A Refined 3D Gaussian Representation for High-Quality Dynamic Scene Reconstruction—0
Joint Channel, Data, and Radar Parameter Estimation for AFDM Systems in Doubly-Dispersive Channels—0
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity BiasCode0
Glauber Generative Model: Discrete Diffusion Models via Binary Classification—0
PromptFix: You Prompt and We Fix the PhotoCode4
Ensembling Diffusion Models via Adaptive Feature AggregationCode0
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference—0
Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction—0
Diffusion Bridge Implicit ModelsCode2
ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score MatchingCode0
Score Distillation via Reparametrized DDIM—0
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model—0
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition—0
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation—0
ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model—0
Nonlinear denoising score matching for enhanced learning of structured distributions—0
Learning to Discretize Denoising Diffusion ODEsCode1
Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems—0
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer ModelsCode0
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation—0
Nuclear Norm Regularization for Deep Learning—0
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models—0
Adversarial Schrödinger Bridge MatchingCode1
Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising—0
Multistable Shape from Shading Emerges from Patch Diffusion—0
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic ModelsCode0
Score-based Generative Models with Adaptive Momentum—0
Design Editing for Offline Model-based Optimization—0
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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