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 1251–1275 of 7282 papers

TitleStatusHype
3D molecule generation by denoising voxel gridsCode1
AR-DAE: Towards Unbiased Neural Entropy Gradient EstimationCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
Progressive Correspondence Pruning by Consensus LearningCode1
Fast Inference in Denoising Diffusion Models via MMD FinetuningCode1
Fast mesh denoising with data driven normal filtering using deep variational autoencodersCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency ModelsCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral ImagesCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
Adversarial Distortion Learning for Medical Image DenoisingCode1
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class LabelsCode1
A Differentiable Perceptual Audio Metric Learned from Just Noticeable DifferencesCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
Flexible Diffusion Modeling of Long VideosCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
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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