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 181190 of 7282 papers

TitleStatusHype
Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion0
Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations0
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective ApproachCode1
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space0
DiSA: Diffusion Step Annealing in Autoregressive Image GenerationCode2
MotionPro: A Precise Motion Controller for Image-to-Video Generation0
Rotation-Equivariant Self-Supervised Method in Image DenoisingCode1
Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation0
ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications0
Deep Spectral 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