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 10011010 of 7282 papers

TitleStatusHype
Interpreting and Improving Diffusion Models from an Optimization PerspectiveCode1
Normalization-Equivariant Neural Networks with Application to Image DenoisingCode1
Protein Discovery with Discrete Walk-Jump SamplingCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Str2Str: A Score-based Framework for Zero-shot Protein Conformation SamplingCode1
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion ModelCode1
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic modelCode1
Bilevel Fast Scene Adaptation for Low-Light Image EnhancementCode1
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise MappingCode1
Show:102550
← PrevPage 101 of 729Next →

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