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 251260 of 7282 papers

TitleStatusHype
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image DenoisingCode2
LocInv: Localization-aware Inversion for Text-Guided Image EditingCode2
TheaterGen: Character Management with LLM for Consistent Multi-turn Image GenerationCode2
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion ModelsCode2
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image DenoisingCode2
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noiseCode2
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion ModelsCode2
DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR ImagesCode2
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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