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 11611170 of 7282 papers

TitleStatusHype
Making Images from Images: Interleaving Denoising and Transformation0
Revelio: Interpreting and leveraging semantic information in diffusion modelsCode1
FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction0
Classifier-Free Guidance inside the Attraction Basin May Cause MemorizationCode0
Haar-Laplacian for directed graphsCode0
Detecting Visual Triggers in Cannabis Imagery: A CLIP-Based Multi-Labeling Framework with Local-Global Aggregation0
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume0
Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency0
High-Resolution Image Synthesis via Next-Token Prediction0
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous DrivingCode5
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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