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
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse ProblemsCode1
LAN: Learning to Adapt Noise for Image DenoisingCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec CompressionCode1
Mask prior-guided denoising diffusion improves inverse protein foldingCode1
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and DeblurringCode1
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion TransformerCode1
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert DenoisingCode1
Learning to Translate Noise for Robust Image DenoisingCode1
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
TASR: Timestep-Aware Diffusion Model for Image Super-ResolutionCode1
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout GenerationCode1
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty EstimationCode1
Timestep Embedding Tells: It's Time to Cache for Video Diffusion ModelCode1
Enhancing MMDiT-Based Text-to-Image Models for Similar Subject GenerationCode1
MatchDiffusion: Training-free Generation of Match-cutsCode1
Can LLMs be Good Graph Judge for Knowledge Graph Construction?Code1
Revelio: Interpreting and leveraging semantic information in diffusion modelsCode1
DT-LSD: Deformable Transformer-based Line Segment DetectionCode1
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic SegmentationCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
Aligning Few-Step Diffusion Models with Dense Reward Difference LearningCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
Joint multi-dimensional dynamic attention and transformer for general image restorationCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose ClothingCode1
EDformer: Transformer-Based Event Denoising Across Varied Noise LevelsCode1
Conditional Controllable Image FusionCode1
Diffusion Models as Network Optimizers: Explorations and AnalysisCode1
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?Code1
bit2bit: 1-bit quanta video reconstruction via self-supervised photon predictionCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
TopoDiffusionNet: A Topology-aware Diffusion ModelCode1
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential OrderingCode1
Open Materials 2024 (OMat24) Inorganic Materials Dataset and ModelsCode1
On the Effectiveness of Dataset Alignment for Fake Image DetectionCode1
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain NavigationCode1
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory PredictionCode1
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel PruningCode1
Variational Diffusion Posterior Sampling with Midpoint GuidanceCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
InstructG2I: Synthesizing Images from Multimodal Attributed GraphsCode1
Training-free Diffusion Model Alignment with Sampling DemonsCode1
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series ForecastingCode1
Image Watermarks are Removable Using Controllable Regeneration from Clean NoiseCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography EnhancementCode1
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric GroupsCode1
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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