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 891900 of 7282 papers

TitleStatusHype
Generalization in diffusion models arises from geometry-adaptive harmonic representationsCode1
On Memorization in Diffusion ModelsCode1
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven PriorsCode1
Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion modelCode1
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform GenerationCode1
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
High Perceptual Quality Wireless Image Delivery with Denoising Diffusion ModelsCode1
On the Posterior Distribution in Denoising: Application to Uncertainty QuantificationCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
Score Mismatching for Generative ModelingCode1
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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