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 371380 of 7282 papers

TitleStatusHype
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and InterpolationCode2
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further TuningCode2
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image GenerationCode2
Mixed Diffusion for 3D Indoor Scene SynthesisCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
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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