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 37113720 of 7282 papers

TitleStatusHype
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images0
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering0
LoRA-Enhanced Distillation on Guided Diffusion Models0
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers0
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification0
Loss Function Entropy Regularization for Diverse Decision Boundaries0
Lossy Image Compression with Foundation Diffusion Models0
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning0
Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models0
Low-dimensional adaptation of diffusion models: Convergence in total variation0
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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