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

Showing 15511575 of 7282 papers

TitleStatusHype
Lightweight Modules for Efficient Deep Learning based Image RestorationCode1
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systemsCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent VariablesCode1
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme ConditionsCode1
LFSRDiff: Light Field Image Super-Resolution via Diffusion ModelsCode1
Reuse and Diffuse: Iterative Denoising for Text-to-Video GenerationCode1
Reverse Engineering of Imperceptible Adversarial Image PerturbationsCode1
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional NetworksCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World DenoisingCode1
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
Legacy Photo Editing with Learned Noise PriorCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry PiCode1
Learning to Translate Noise for Robust Image DenoisingCode1
Autoencoders that don't overfit towards the IdentityCode1
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral FeaturesCode1
Less is More: Reweighting Important Spectral Graph Features for RecommendationCode1
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property PredictionCode1
Graph Collaborative Signals Denoising and Augmentation for RecommendationCode1
Graph Bottlenecked Social RecommendationCode1
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial TrainingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified