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 1601–1650 of 7282 papers

TitleStatusHype
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding OptimizationCode1
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion TransformerCode1
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion ModelsCode1
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex RegularizationCode1
Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image DenoiserCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image DenoisingCode1
Deep Image PriorCode1
Purified and Unified Steganographic NetworkCode1
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-ResolutionCode1
Quantum circuit synthesis with diffusion modelsCode1
Questions Are All You Need to Train a Dense Passage RetrieverCode1
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for AutoencodersCode1
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme ConditionsCode1
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
Random Sub-Samples Generation for Self-Supervised Real Image DenoisingCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
Denoising Multi-Source Weak Supervision for Neural Text ClassificationCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
3D^2-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar ModelingCode1
Real-time Noise Source Estimation of a Camera System from an Image and MetadataCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environmentCode1
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in DualCode1
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image DenoisingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert DenoisingCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
Diffusion Model for Dense MatchingCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech EnhancementCode1
Representation Learning for Resource-Constrained Keyphrase GenerationCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Denoising Normalizing FlowCode1
Accelerated MRI with Un-trained Neural NetworksCode1
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to SpeechCode1
A deep network for sinogram and CT image reconstructionCode1
DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image ClarityCode1
Rethinking Deep Image Prior for DenoisingCode1
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional NetworksCode1
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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