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 151–200 of 7282 papers

TitleStatusHype
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile DevicesCode2
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose EstimationCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal ModelingCode2
TRADES: Generating Realistic Market Simulations with Diffusion ModelsCode2
Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency LossCode2
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse AutoencodersCode2
VideoShield: Regulating Diffusion-based Video Generation Models via WatermarkingCode2
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image RestorationCode2
DepthMaster: Taming Diffusion Models for Monocular Depth EstimationCode2
MagicFace: High-Fidelity Facial Expression Editing with Action-Unit ControlCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing ControlCode2
Edicho: Consistent Image Editing in the WildCode2
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask LearningCode2
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-ReflectionCode2
Diffusion Predictive Control with ConstraintsCode2
Video Motion Transfer with Diffusion TransformersCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian SplattingCode2
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral ConstraintsCode2
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-ResolutionCode2
Omegance: A Single Parameter for Various Granularities in Diffusion-Based SynthesisCode2
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache SharingCode2
V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising DiffusionCode2
X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenariosCode2
Consistency Diffusion Bridge ModelsCode2
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse AutoencodersCode2
Retrieval-Augmented Diffusion Models for Time Series ForecastingCode2
Diffusion Transformer PolicyCode2
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video GenerationCode2
High-Precision Dichotomous Image Segmentation via Probing Diffusion CapacityCode2
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion ModelsCode2
Training-Free Adaptive Diffusion with Bounded Difference Approximation StrategyCode2
Reconstructive Visual Instruction TuningCode2
Progressive Autoregressive Video Diffusion ModelsCode2
Think While You Generate: Discrete Diffusion with Planned DenoisingCode2
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNetCode2
DeFoG: Discrete Flow Matching for Graph GenerationCode2
Learning Truncated Causal History Model for Video RestorationCode2
PnP-Flow: Plug-and-Play Image Restoration with Flow MatchingCode2
Conditional Image Synthesis with Diffusion Models: A SurveyCode2
DualDn: Dual-domain Denoising via Differentiable ISPCode2
Cross-video Identity Correlating for Person Re-identification Pre-trainingCode2
HSIGene: A Foundation Model For Hyperspectral Image GenerationCode2
EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidanceCode2
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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