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 141150 of 7282 papers

TitleStatusHype
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action PolicyCode2
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup TablesCode2
SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and EditingCode2
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse RewardsCode2
D2GV: Deformable 2D Gaussian Splatting for Video Representation in 400FPSCode2
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
What Makes a Good Diffusion Planner for Decision Making?Code2
Mobius: Text to Seamless Looping Video Generation via Latent ShiftCode2
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRCode2
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRICode2
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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