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 511520 of 7282 papers

TitleStatusHype
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image SynthesisCode1
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA DesignCode1
Classifier-free Guidance with Adaptive ScalingCode1
Diffusion Suction Grasping with Large-Scale Parcel DatasetCode1
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image DenoisingCode1
UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
A Mixture-Based Framework for Guiding Diffusion ModelsCode1
T-SCEND: Test-time Scalable MCTS-enhanced Diffusion ModelCode1
SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion RecognitionCode1
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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