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 10011025 of 7282 papers

TitleStatusHype
Markup-to-Image Diffusion Models with Scheduled SamplingCode1
(Certified!!) Adversarial Robustness for Free!Code1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics DataCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Burst Image Restoration and EnhancementCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
MD-Dose: A diffusion model based on the Mamba for radiation dose predictionCode1
C2N: Practical Generative Noise Modeling for Real-World DenoisingCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
A Neural-Network-Based Convex Regularizer for Inverse ProblemsCode1
Memory-Augmented Deep Conditional Unfolding Network for Pan-SharpeningCode1
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
A Neural Space-Time Representation for Text-to-Image PersonalizationCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
Denoising Task Routing for Diffusion ModelsCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
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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