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 321330 of 7282 papers

TitleStatusHype
DeepCache: Accelerating Diffusion Models for FreeCode2
Flow-Guided Diffusion for Video InpaintingCode2
Using Human Feedback to Fine-tune Diffusion Models without Any Reward ModelCode2
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
Sparse4D v3: Advancing End-to-End 3D Detection and TrackingCode2
Mustango: Toward Controllable Text-to-Music GenerationCode2
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionCode2
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionCode2
Denoising Diffusion Bridge ModelsCode2
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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