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 451475 of 7282 papers

TitleStatusHype
Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-raysCode1
Diffusion-based Graph Generative MethodsCode1
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonCode1
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion ProcessCode1
Continual Learning of Diffusion Models with Generative DistillationCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual DiffusionCode1
Diffusion Model as Representation LearnerCode1
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be ConsistentCode1
Diffusion Action SegmentationCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
Progressive Correspondence Pruning by Consensus LearningCode1
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic ModelCode1
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency ModelsCode1
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
Content-Noise Complementary Learning for Medical Image DenoisingCode1
3D Detection and Characterisation of ALMA Sources through Deep LearningCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
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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