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 40014010 of 7282 papers

TitleStatusHype
Diffusion-Based Signed Distance Fields for 3D Shape Generation0
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction0
Polarized Color Image Denoising0
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light PhotographyCode1
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain ActivityCode3
Structure Aggregation for Cross-Spectral Stereo Image Guided DenoisingCode1
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image DatasetCode1
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views0
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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