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 571580 of 7282 papers

TitleStatusHype
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic SegmentationCode1
Aligning Few-Step Diffusion Models with Dense Reward Difference LearningCode1
Continuous Speculative Decoding for Autoregressive Image GenerationCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
Joint multi-dimensional dynamic attention and transformer for general image restorationCode1
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose ClothingCode1
EDformer: Transformer-Based Event Denoising Across Varied Noise LevelsCode1
Conditional Controllable Image FusionCode1
Diffusion Models as Network Optimizers: Explorations and AnalysisCode1
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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