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 110 of 7282 papers

TitleStatusHype
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow MatchingCode11
SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion TransformersCode9
LTX-Video: Realtime Video Latent DiffusionCode9
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-onCode9
Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image AnalysisCode7
Flow-GRPO: Training Flow Matching Models via Online RLCode7
M&M VTO: Multi-Garment Virtual Try-On and EditingCode7
One-Step Image Translation with Text-to-Image ModelsCode7
Improving Sample Quality of Diffusion Models Using Self-Attention GuidanceCode7
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive GenerationCode6
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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