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 28612870 of 7282 papers

TitleStatusHype
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation0
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans0
Cache Me if You Can: Accelerating Diffusion Models through Block Caching0
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models0
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images0
DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap0
A Neural Denoising Vocoder for Clean Waveform Generation from Noisy Mel-Spectrogram based on Amplitude and Phase Predictions0
A Deep Learning Approach to Structured Signal Recovery0
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network0
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs0
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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