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 19311940 of 7282 papers

TitleStatusHype
Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion0
AsyncDiff: Parallelizing Diffusion Models by Asynchronous DenoisingCode4
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results0
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly DetectionCode2
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning0
Stable Neighbor Denoising for Source-free Domain Adaptive SegmentationCode1
Tuning-Free Visual Customization via View Iterative Self-Attention ControlCode0
ProcessPainter: Learn Painting Process from Sequence DataCode2
FRAG: Frequency Adapting Group for Diffusion Video EditingCode2
Cometh: A continuous-time discrete-state graph diffusion model0
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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