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 301–350 of 7282 papers

TitleStatusHype
Deconstructing Denoising Diffusion Models for Self-Supervised LearningCode2
Graph Diffusion Transformers for Multi-Conditional Molecular GenerationCode2
Large Language Models are Efficient Learners of Noise-Robust Speech RecognitionCode2
Fixed Point Diffusion ModelsCode2
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and TrackingCode2
Attack-Resilient Image Watermarking Using Stable DiffusionCode2
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
Z*: Zero-shot Style Transfer via Attention ReweightingCode2
Real-World Mobile Image Denoising Dataset with Efficient BaselinesCode2
Exposure Bracketing Is All You Need For A High-Quality ImageCode2
FlowDiffuser: Advancing Optical Flow Estimation with Diffusion ModelsCode2
ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light ImagesCode2
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive LearningCode2
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion ModelsCode2
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessCode2
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model InferenceCode2
FreeInit: Bridging Initialization Gap in Video Diffusion ModelsCode2
DiAD: A Diffusion-based Framework for Multi-class Anomaly DetectionCode2
DPoser: Diffusion Model as Robust 3D Human Pose PriorCode2
DiffiT: Diffusion Vision Transformers for Image GenerationCode2
DeepCache: Accelerating Diffusion Models for FreeCode2
Flow-Guided Diffusion for Video InpaintingCode2
Using Human Feedback to Fine-tune Diffusion Models without Any Reward ModelCode2
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
Sparse4D v3: Advancing End-to-End 3D Detection and TrackingCode2
Mustango: Toward Controllable Text-to-Music GenerationCode2
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionCode2
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionCode2
Denoising Diffusion Bridge ModelsCode2
Residual Denoising Diffusion ModelsCode2
Texture Generation on 3D Meshes with Point-UV DiffusionCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance FlowCode2
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelCode2
Generative AI for Medical Imaging: extending the MONAI FrameworkCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained DiffusionCode2
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationCode2
PromptIR: Prompting for All-in-One Blind Image RestorationCode2
Fast Training of Diffusion Models with Masked TransformersCode2
Invisible Image Watermarks Are Provably Removable Using Generative AICode2
Low-Light Image Enhancement with Wavelet-based Diffusion ModelsCode2
A Geometric Perspective on Diffusion ModelsCode2
HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion GuidanceCode2
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-DenoisingCode2
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice ConversionCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase SpectraCode2
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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