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 551–600 of 7282 papers

TitleStatusHype
Crystal Structure Prediction by Joint Equivariant DiffusionCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
Discrete Diffusion Probabilistic Models for Symbolic Music GenerationCode1
Discrete Contrastive Diffusion for Cross-Modal Music and Image GenerationCode1
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationCode1
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising AutoencodersCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure TimesCode1
Digging into contrastive learning for robust depth estimation with diffusion modelsCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video EditingCode1
Adaptive Graph Contrastive Learning for RecommendationCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-DrivingCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and GenerationCode1
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct SupervisionCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
Diffusive Gibbs SamplingCode1
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
3D Brain and Heart Volume Generative Models: A SurveyCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
Adaptive Dynamic Filtering Network for Image DenoisingCode1
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based PenaltiesCode1
Diffusion Suction Grasping with Large-Scale Parcel DatasetCode1
DiffX: Guide Your Layout to Cross-Modal Generative ModelingCode1
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion ModelsCode1
Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsCode1
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time StepsCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual PerceptionCode1
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain NavigationCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
Aligning Few-Step Diffusion Models with Dense Reward Difference LearningCode1
Diffusion Posterior Proximal Sampling for Image RestorationCode1
Continual Learning of Diffusion Models with Generative DistillationCode1
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
Content-Noise Complementary Learning for Medical Image DenoisingCode1
Diffusion Models Learn Low-Dimensional Distributions via Subspace ClusteringCode1
Memory-Efficient 3D Denoising Diffusion Models for Medical Image ProcessingCode1
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding OptimizationCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
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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