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 801810 of 7282 papers

TitleStatusHype
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMsCode0
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement0
Snapshot Compressed Imaging Based Single-Measurement Computer Vision for Videos0
MAP-based Problem-Agnostic diffusion model for Inverse Problems0
VideoPure: Diffusion-based Adversarial Purification for Video RecognitionCode0
Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation0
On the locality bias and results in the Long Range Arena0
Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images0
Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders0
VideoShield: Regulating Diffusion-based Video Generation Models via WatermarkingCode2
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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