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 25312540 of 7282 papers

TitleStatusHype
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
Graph Diffusion Transformers for Multi-Conditional Molecular GenerationCode2
Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach0
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion0
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
FLLIC: Functionally Lossless Image Compression0
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECTCode1
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation0
Feature Denoising Diffusion Model for Blind Image Quality Assessment0
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation LearningCode0
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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