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 151–200 of 7282 papers

TitleStatusHype
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent SpacesCode2
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive LearningCode2
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained DiffusionCode2
Exposure Bracketing Is All You Need For A High-Quality ImageCode2
EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidanceCode2
ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningCode2
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized AttentionCode2
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design SpaceCode2
Edicho: Consistent Image Editing in the WildCode2
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask LearningCode2
EasyText: Controllable Diffusion Transformer for Multilingual Text RenderingCode2
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelCode2
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
FORA: Fast-Forward Caching in Diffusion Transformer AccelerationCode2
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly DetectionCode2
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic PropagationCode2
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingCode2
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image PersonalizationCode2
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup TablesCode2
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware TransformersCode2
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
DocDiff: Document Enhancement via Residual Diffusion ModelsCode2
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionCode2
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
DiSA: Diffusion Step Annealing in Autoregressive Image GenerationCode2
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial OptimizationCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningCode2
Diffusion Transformer PolicyCode2
dKV-Cache: The Cache for Diffusion Language ModelsCode2
DiGress: Discrete Denoising diffusion for graph generationCode2
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image GenerationCode2
DPoser: Diffusion Model as Robust 3D Human Pose PriorCode2
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action PolicyCode2
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score MatchingCode2
DualDn: Dual-domain Denoising via Differentiable ISPCode2
BAMM: Bidirectional Autoregressive Motion ModelCode2
DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image AnimationCode2
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsCode2
Blue noise for diffusion modelsCode2
BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane ExtrapolationCode2
EDICT: Exact Diffusion Inversion via Coupled TransformationsCode2
Diffusion Models in Vision: A SurveyCode2
Diffusion Predictive Control with ConstraintsCode2
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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