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 431440 of 7282 papers

TitleStatusHype
Denoising Diffusion Restoration ModelsCode2
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-TrainingCode2
PromptBERT: Improving BERT Sentence Embeddings with PromptsCode2
Improving Image Restoration by Revisiting Global Information AggregationCode2
ExT5: Towards Extreme Multi-Task Scaling for Transfer LearningCode2
Palette: Image-to-Image Diffusion ModelsCode2
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and NormalizationCode2
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential EquationsCode2
Structured Denoising Diffusion Models in Discrete State-SpacesCode2
SeaD: End-to-end Text-to-SQL Generation with Schema-aware DenoisingCode2
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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