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 19511960 of 7282 papers

TitleStatusHype
Diffusion Models in De Novo Drug Design0
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement0
GenzIQA: Generalized Image Quality Assessment using Prompt-Guided Latent Diffusion Models0
SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style TransferCode0
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition0
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
Zero-Shot Video Editing through Adaptive Sliding Score Distillation0
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion ModelsCode2
VideoTetris: Towards Compositional Text-to-Video GenerationCode3
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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