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 711720 of 7282 papers

TitleStatusHype
NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark DatasetCode1
scRDiT: Generating single-cell RNA-seq data by diffusion transformers and accelerating samplingCode1
LIPT: Latency-aware Image Processing TransformerCode1
Taming Transformers for Realistic Lidar Point Cloud GenerationCode1
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion GuidanceCode1
Dual-Scale Transformer for Large-Scale Single-Pixel ImagingCode1
Latent-based Diffusion Model for Long-tailed RecognitionCode1
Real-time Noise Source Estimation of a Camera System from an Image and MetadataCode1
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning DenoisingCode1
WcDT: World-centric Diffusion Transformer for Traffic Scene GenerationCode1
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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