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 7180 of 7282 papers

TitleStatusHype
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous DrivingCode3
FreeU: Free Lunch in Diffusion U-NetCode3
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force FieldsCode3
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain ActivityCode3
Inversion-Free Image Editing with Language-Guided Diffusion ModelsCode3
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic ModelsCode3
Director3D: Real-world Camera Trajectory and 3D Scene Generation from TextCode3
Show:102550
← PrevPage 8 of 729Next →

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