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 19411950 of 7282 papers

TitleStatusHype
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel NoisesCode1
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024Code0
Improving Antibody Design with Force-Guided Sampling in Diffusion Models0
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction0
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS0
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
MotionClone: Training-Free Motion Cloning for Controllable Video GenerationCode4
Medical Vision Generalist: Unifying Medical Imaging Tasks in ContextCode2
Metric Convolutions: A Unifying Theory to Adaptive Convolutions0
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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