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 3301–3350 of 7282 papers

TitleStatusHype
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation—0
Convergence of the denoising diffusion probabilistic models for general noise schedules—0
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling—0
Diffusion Boosted Trees—0
Imitating the Functionality of Image-to-Image Models Using a Single Example—0
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting—0
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models—0
Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data—0
Information Theoretic Text-to-Image Alignment—0
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation—0
Knowledge Enhanced Multi-intent Transformer Network for RecommendationCode0
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion SamplingCode0
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-ClassificationCode0
LED: A Large-scale Real-world Paired Dataset for Event Camera DenoisingCode0
Recurrent Deep Kernel Learning of Dynamical Systems—0
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image SegmentationCode0
Going beyond Compositions, DDPMs Can Produce Zero-Shot InterpolationsCode0
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification—0
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering—0
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence—0
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization—0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens—0
A Refined 3D Gaussian Representation for High-Quality Dynamic Scene Reconstruction—0
Diffusion Model Patching via Mixture-of-Prompts—0
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers—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
Joint Channel, Data, and Radar Parameter Estimation for AFDM Systems in Doubly-Dispersive Channels—0
Ensembling Diffusion Models via Adaptive Feature AggregationCode0
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference—0
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model—0
Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction—0
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition—0
Nonlinear denoising score matching for enhanced learning of structured distributions—0
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation—0
Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems—0
ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score MatchingCode0
Score Distillation via Reparametrized DDIM—0
ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model—0
Multistable Shape from Shading Emerges from Patch Diffusion—0
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models—0
Nuclear Norm Regularization for Deep Learning—0
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation—0
Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising—0
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer ModelsCode0
Design Editing for Offline Model-based Optimization—0
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation—0
Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model ComplexityCode0
Score-based Generative Models with Adaptive Momentum—0
Conditioning diffusion models by explicit forward-backward bridgingCode0
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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