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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 7282 papers

TitleStatusHype
S2GO: Streaming Sparse Gaussian Occupancy Prediction—0
FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video GenerationCode1
Learning normalized image densities via dual score matchingCode0
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control—0
MARBLE: Material Recomposition and Blending in CLIP-Space—0
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion—0
SVD-Based Graph Fractional Fourier Transform on Directed Graphs and Its Application—0
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models—0
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency—0
A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement—0
Diffusion Transformer-based Universal Dose Denoising for Pencil Beam Scanning Proton Therapy—0
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model—0
Object-centric 3D Motion Field for Robot Learning from Human Videos—0
TracLLM: A Generic Framework for Attributing Long Context LLMsCode1
Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems—0
Unrolling Nonconvex Graph Total Variation for Image Denoising—0
InfiniteAudio: Infinite-Length Audio Generation with Consistency—0
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts—0
ADFormer: Aggregation Differential Transformer for Passenger Demand ForecastingCode0
Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission—0
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge—0
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels—0
Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models—0
Image Generation from Contextually-Contradictory Prompts—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