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 32613270 of 7282 papers

TitleStatusHype
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid SubjectsCode0
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies0
Exploring Format Consistency for Instruction TuningCode0
Generative AI for Medical Imaging: extending the MONAI FrameworkCode2
TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis0
Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models0
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Understanding and Tackling Scattering and Reflective Flare for Mobile Camera Systems0
Pre-Training with Diffusion models for Dental Radiography segmentation0
Artifact Restoration in Histology Images with Diffusion Probabilistic ModelsCode1
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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