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 11011110 of 7282 papers

TitleStatusHype
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis0
OmniCreator: Self-Supervised Unified Generation with Universal Editing0
On the Feature Learning in Diffusion Models0
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision LocalizationCode0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation0
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training0
An overview of diffusion models for generative artificial intelligence0
A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision0
Advanced Video Inpainting Using Optical Flow-Guided Efficient DiffusionCode3
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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