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 226–250 of 7282 papers

TitleStatusHype
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New InsightsCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
Immiscible Diffusion: Accelerating Diffusion Training with Noise AssignmentCode2
Make It Count: Text-to-Image Generation with an Accurate Number of ObjectsCode2
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly DetectionCode2
ProcessPainter: Learn Painting Process from Sequence DataCode2
FRAG: Frequency Adapting Group for Diffusion Video EditingCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion ModelsCode2
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean DataCode2
SF-V: Single Forward Video Generation ModelCode2
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive DiffusionCode2
Learning-to-Cache: Accelerating Diffusion Transformer via Layer CachingCode2
RecDiff: Diffusion Model for Social RecommendationCode2
Mixed Diffusion for 3D Indoor Scene SynthesisCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow MatchingCode2
Diffusion Bridge Implicit ModelsCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal LengthCode2
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score MatchingCode2
TexPainter: Generative Mesh Texturing with Multi-view ConsistencyCode2
Self-Consistent Recursive Diffusion Bridge for Medical Image TranslationCode2
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion ModelsCode2
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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