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 201–250 of 7282 papers

TitleStatusHype
Improving Text-guided Object Inpainting with Semantic Pre-inpaintingCode2
Realistic and Efficient Face Swapping: A Unified Approach with Diffusion ModelsCode2
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTSCode2
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion ModelsCode2
UV-free Texture Generation with Denoising and Geodesic Heat DiffusionsCode2
TripleMixer: A 3D Point Cloud Denoising Model for Adverse WeatherCode2
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition AbilitiesCode2
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further TuningCode2
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object DetectionCode2
Temporal Feature Matters: A Framework for Diffusion Model QuantizationCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionCode2
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth GenerationCode2
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKVCode2
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion ModelsCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Coherent and Multi-modality Image Inpainting via Latent Space OptimizationCode2
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine SamplingCode2
FORA: Fast-Forward Caching in Diffusion Transformer AccelerationCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Improving Diffusion Inverse Problem Solving with Decoupled Noise AnnealingCode2
Diffusion Models and Representation Learning: A SurveyCode2
Denoising as Adaptation: Noise-Space Domain Adaptation for Image RestorationCode2
FaceScore: Benchmarking and Enhancing Face Quality in Human GenerationCode2
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New InsightsCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
Immiscible Diffusion: Accelerating Diffusion Training with Noise AssignmentCode2
Make It Count: Text-to-Image Generation with an Accurate Number of ObjectsCode2
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly DetectionCode2
ProcessPainter: Learn Painting Process from Sequence DataCode2
FRAG: Frequency Adapting Group for Diffusion Video EditingCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion ModelsCode2
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean DataCode2
SF-V: Single Forward Video Generation ModelCode2
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive DiffusionCode2
Learning-to-Cache: Accelerating Diffusion Transformer via Layer CachingCode2
RecDiff: Diffusion Model for Social RecommendationCode2
Mixed Diffusion for 3D Indoor Scene SynthesisCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow MatchingCode2
Diffusion Bridge Implicit ModelsCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal LengthCode2
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score MatchingCode2
TexPainter: Generative Mesh Texturing with Multi-view ConsistencyCode2
Self-Consistent Recursive Diffusion Bridge for Medical Image TranslationCode2
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion ModelsCode2
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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