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 17811790 of 7282 papers

TitleStatusHype
2D Neural Fields with Learned Discontinuities0
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images0
Optical Diffusion Models for Image Generation0
Backdoor Attacks against Image-to-Image Networks0
Physics-Inspired Generative Models in Medical Imaging: A Review0
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction0
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth GenerationCode2
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKVCode2
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction0
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion 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