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 51–100 of 7282 papers

TitleStatusHype
VideoFusion: Decomposed Diffusion Models for High-Quality Video GenerationCode4
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video DataCode4
DiffusionDet: Diffusion Model for Object DetectionCode4
Scaling Diffusion Models to Real-World 3D LiDAR Scene CompletionCode3
3D Diffuser Actor: Policy Diffusion with 3D Scene RepresentationsCode3
Scaling Diffusion Transformers to 16 Billion ParametersCode3
3D Diffuser Actor: Policy Diffusion with 3D Scene RepresentationsCode3
Proxy Denoising for Source-Free Domain AdaptationCode3
ReNoise: Real Image Inversion Through Iterative NoisingCode3
Score-Guided Diffusion for 3D Human RecoveryCode3
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward ModelCode3
RoHM: Robust Human Motion Reconstruction via DiffusionCode3
PixelHacker: Image Inpainting with Structural and Semantic ConsistencyCode3
Physics-Informed Diffusion ModelsCode3
Planning with Diffusion for Flexible Behavior SynthesisCode3
Optimal Stepsize for Diffusion SamplingCode3
Denoising Vision TransformersCode3
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-SpeechCode3
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D GenerationCode3
On the Trajectory Regularity of ODE-based Diffusion SamplingCode3
On Distillation of Guided Diffusion ModelsCode3
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse ViewsCode3
Multimodal-Conditioned Latent Diffusion Models for Fashion Image EditingCode3
ONE-PEACE: Exploring One General Representation Model Toward Unlimited ModalitiesCode3
Seamless Human Motion Composition with Blended Positional EncodingsCode3
Make-Your-Anchor: A Diffusion-based 2D Avatar Generation FrameworkCode3
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Inversion-Free Image Editing with Language-Guided Diffusion ModelsCode3
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
LinFusion: 1 GPU, 1 Minute, 16K ImageCode3
ModelScope Text-to-Video Technical ReportCode3
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain ActivityCode3
Image Quality Assessment for Magnetic Resonance ImagingCode3
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force FieldsCode3
DDT: Decoupled Diffusion TransformerCode3
FreeU: Free Lunch in Diffusion U-NetCode3
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous DrivingCode3
Improved Denoising Diffusion Probabilistic ModelsCode3
DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic ModelsCode3
Director3D: Real-world Camera Trajectory and 3D Scene Generation from TextCode3
Discrete Diffusion in Large Language and Multimodal Models: A SurveyCode3
Diffusion-TS: Interpretable Diffusion for General Time Series GenerationCode3
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive CachingCode3
Advanced Video Inpainting Using Optical Flow-Guided Efficient DiffusionCode3
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge DetectionCode3
Attention Distillation: A Unified Approach to Visual Characteristics TransferCode3
Diffusion Models are Evolutionary AlgorithmsCode3
AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image GenerationCode3
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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