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 351–400 of 7282 papers

TitleStatusHype
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
Iterated Denoising Energy Matching for Sampling from Boltzmann DensitiesCode2
Diffusion Models and Representation Learning: A SurveyCode2
Large Language Models are Efficient Learners of Noise-Robust Speech RecognitionCode2
DeepCache: Accelerating Diffusion Models for FreeCode2
Leapfrog Diffusion Model for Stochastic Trajectory PredictionCode2
Learning to See in the Extremely DarkCode2
BAMM: Bidirectional Autoregressive Motion ModelCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network GenerationCode2
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object DetectionCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
Diffusion models as plug-and-play priorsCode2
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRICode2
A Geometric Perspective on Diffusion ModelsCode2
Diffusion Recommender ModelCode2
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action PolicyCode2
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware TransformersCode2
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image RestorationCode2
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image GenerationCode2
Diffusion Bridge Implicit ModelsCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
Mobius: Text to Seamless Looping Video Generation via Latent ShiftCode2
Diffusion-based Visual Anagram as Multi-task LearningCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency ModelCode2
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationCode2
Diffusion^2: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion ModelsCode2
BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane ExtrapolationCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
DiffIR: Efficient Diffusion Model for Image RestorationCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
DiffiT: Diffusion Vision Transformers for Image GenerationCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
Optimal Weighted Convolution for Classification and DenosingCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-ResolutionCode2
Exposure Bracketing Is All You Need For A High-Quality ImageCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D ReassemblyCode2
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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