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 331340 of 7282 papers

TitleStatusHype
Quantizing Diffusion Models from a Sampling-Aware Perspective0
DualReal: Adaptive Joint Training for Lossless Identity-Motion Fusion in Video Customization0
Enhancing Black-Litterman Portfolio via Hybrid Forecasting Model Combining Multivariate Decomposition and Noise Reduction0
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing0
Generative diffusion model surrogates for mechanistic agent-based biological models0
A Time-Series Data Augmentation Model through Diffusion and Transformer Integration0
AI-Driven Segmentation and Analysis of Microbial Cells0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model0
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution0
GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion Transformers0
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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