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 19611970 of 7282 papers

TitleStatusHype
SF-V: Single Forward Video Generation ModelCode2
Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference OptimizationCode3
Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal RepresentationCode0
M&M VTO: Multi-Garment Virtual Try-On and EditingCode7
ReDistill: Residual Encoded Distillation for Peak Memory Reduction0
VideoTetris: Towards Compositional Text-to-Video GenerationCode3
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural NetworksCode1
TIDMAD: Time Series Dataset for Discovering Dark Matter with AI DenoisingCode1
RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization0
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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