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 1101–1150 of 7282 papers

TitleStatusHype
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
Diffusion Model for Dense MatchingCode1
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic ModelsCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
Deterministic training of generative autoencoders using invertible layersCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
Denoising Task Routing for Diffusion ModelsCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot ClassificationCode1
CNN-based InSAR Denoising and Coherence MetricCode1
CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Denoising Relation Extraction from Document-level Distant SupervisionCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIPCode1
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image SynthesisCode1
Denoising Normalizing FlowCode1
Comparison of Image Quality Models for Optimization of Image Processing SystemsCode1
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidenceCode1
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Denoising MCMC for Accelerating Diffusion-Based Generative ModelsCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
Denoising Masked AutoEncoders Help Robust ClassificationCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Denoising Multi-Source Weak Supervision for Neural Text ClassificationCode1
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural NetworkCode1
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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