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 2130 of 7282 papers

TitleStatusHype
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic AlignmentCode5
Controllable Generation with Text-to-Image Diffusion Models: A SurveyCode5
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction FollowingCode5
DreamFusion: Text-to-3D using 2D DiffusionCode5
Energy-Based Transformers are Scalable Learners and ThinkersCode4
DiffuCoder: Understanding and Improving Masked Diffusion Models for Code GenerationCode4
PharMolixFM: All-Atom Foundation Models for Molecular Modeling and GenerationCode4
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language ModelsCode4
Latent Swap Joint Diffusion for 2D Long-Form Latent GenerationCode4
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian NoiseCode4
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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