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 34313440 of 7282 papers

TitleStatusHype
Deeply Coupled Auto-encoder Networks for Cross-view Classification0
Hume: Introducing System-2 Thinking in Visual-Language-Action Model0
HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation0
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations0
Deeply Cascaded U-Net for Multi-Task Image Processing0
Guidance Free Image Editing via Explicit Conditioning0
Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation models0
Hybrid Digital-Analog Semantic Communications0
Deeply Aggregated Alternating Minimization for Image Restoration0
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior0
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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