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 741750 of 7282 papers

TitleStatusHype
A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution0
UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingCode1
On Memory Construction and Retrieval for Personalized Conversational Agents0
Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks0
Geometric Machine Learning on EEG Signals0
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?0
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure PurificationCode0
Latent Swap Joint Diffusion for 2D Long-Form Latent GenerationCode4
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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