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 11811190 of 7282 papers

TitleStatusHype
Structure Aggregation for Cross-Spectral Stereo Image Guided DenoisingCode1
Anomaly Detection using Score-based Perturbation ResilienceCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image DatasetCode1
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to SpeechCode1
SeqDiffuSeq: Text Diffusion with Encoder-Decoder TransformersCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic ModelsCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
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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