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 881890 of 7282 papers

TitleStatusHype
A Mixture-Based Framework for Guiding Diffusion ModelsCode1
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising TransformerCode1
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCode1
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual DiffusionCode1
Exploring Versatile Prior for Human Motion via Motion Frequency GuidanceCode1
3D Vessel Graph Generation Using Denoising DiffusionCode1
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksCode1
Beyond Surface Statistics: Scene Representations in a Latent Diffusion ModelCode1
ExposureDiffusion: Learning to Expose for Low-light Image EnhancementCode1
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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