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 32413250 of 7282 papers

TitleStatusHype
Using Neural Networks for Data Cleaning in Weather Datasets0
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion PurificationCode0
VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation0
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models0
Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous SystemsCode0
Neural Residual Diffusion Models for Deep Scalable Vision GenerationCode0
RobGC: Towards Robust Graph Condensation0
Surgical Triplet Recognition via Diffusion Model0
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt GuidanceCode0
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
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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