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 2351–2400 of 7282 papers

TitleStatusHype
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?—0
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies—0
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization—0
Data denoising with self consistency, variance maximization, and the Kantorovich dominance—0
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control—0
TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer—0
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images—0
InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration—0
Exploring the latent space of diffusion models directly through singular value decomposition—0
Towards Consistent and Controllable Image Synthesis for Face Editing—0
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity—0
Sparse Measurement Medical CT Reconstruction using Multi-Fused Block Matching Denoising Priors—0
A generative foundation model for an all-in-one seismic processing framework—0
CoDe: Blockwise Control for Denoising Diffusion ModelsCode0
Personalized Denoising Implicit Feedback for Robust Recommender SystemCode0
Patch Triplet Similarity Purification for Guided Real-World Low-Dose CT Image Denoising—0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion ModelsCode0
Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data BoostrappingCode0
CoSTI: Consistency Models for (a faster) Spatio-Temporal ImputationCode0
Collaborative Diffusion Model for Recommender System—0
Principal Components for Neural Network InitializationCode0
PSyDUCK: Training-Free Steganography for Latent Diffusion—0
From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance—0
Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising—0
Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding—0
Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation—0
MR imaging in the low-field: Leveraging the power of machine learning—0
Variational Schrödinger Momentum Diffusion—0
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture ModelCode0
Decrypting the temperature field in flow boiling with latent diffusion models—0
ARFlow: Autogressive Flow with Hybrid Linear Attention—0
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMsCode0
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement—0
VideoPure: Diffusion-based Adversarial Purification for Video RecognitionCode0
MAP-based Problem-Agnostic diffusion model for Inverse Problems—0
Snapshot Compressed Imaging Based Single-Measurement Computer Vision for Videos—0
Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation—0
Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders—0
On the locality bias and results in the Long Range Arena—0
Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Binary Diffusion Probabilistic Model—0
Radio Map Estimation via Latent Domain Plug-and-Play DenoisingCode0
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction—0
Robust Representation Consistency Model via Contrastive DenoisingCode0
Sequential Change Point Detection via Denoising Score Matching—0
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
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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