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

Showing 401425 of 7282 papers

TitleStatusHype
PromptIR: Prompting for All-in-One Blind Image RestorationCode2
Denoising Diffusion Probabilistic ModelsCode2
Diffusion Models and Representation Learning: A SurveyCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
Realistic and Efficient Face Swapping: A Unified Approach with Diffusion ModelsCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
Diffusion Models in Vision: A SurveyCode2
ReMoDiffuse: Retrieval-Augmented Motion Diffusion ModelCode2
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change DetectionCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
Residual Denoising Diffusion ModelsCode2
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow MatchingCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and NormalizationCode2
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
Diffusion Bridge Implicit ModelsCode2
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential EquationsCode2
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified