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 2451–2500 of 7282 papers

TitleStatusHype
LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment—0
From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering—0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation—0
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration—0
Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things—0
Time Series Language Model for Descriptive Caption Generation—0
Contrastive Learning Augmented Social RecommendationsCode0
Optimizing Noise Schedules of Generative Models in High Dimensionss—0
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation—0
InDeed: Interpretable image deep decomposition with guaranteed generalizability—0
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion ModelCode0
Scaling Inference Time Compute for Diffusion Models—0
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold NetworkCode0
Hierarchical Flow Diffusion for Efficient Frame Interpolation—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy—0
PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-Task Robotic Manipulation—0
ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection—0
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction—0
Beyond Human Perception: Understanding Multi-Object World from Monocular ViewCode0
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images—0
IM-Portrait: Learning 3D-aware Video Diffusion for Photorealistic Talking Heads from Monocular VideosC—0
HomoGen: Enhanced Video Inpainting via Homography Propagation and Diffusion—0
All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising—0
Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and BeyondCode0
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing—0
Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing—0
LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors—0
Fingerprinting Denoising Diffusion Probabilistic Models—0
Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis—0
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning—0
Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets—0
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation—0
FeedEdit: Text-Based Image Editing with Dynamic Feedback Regulation—0
TFCustom: Customized Image Generation with Time-Aware Frequency Feature Guidance—0
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation—0
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning—0
EdgeDiff: Edge-aware Diffusion Network for Building Reconstruction from Point Clouds—0
APT: Adaptive Personalized Training for Diffusion Models with Limited Data—0
VODiff: Controlling Object Visibility Order in Text-to-Image Generation—0
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection—0
Random Conditioning for Diffusion Model Compression with Distillation—0
DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion—0
Composing Parts for Expressive Object Generation—0
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos—0
Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion—0
Unboxed: Geometrically and Temporally Consistent Video Outpainting—0
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler—0
Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations—0
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion—0
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation—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