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 15511575 of 7282 papers

TitleStatusHype
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion TransformerCode1
OVTrack: Open-Vocabulary Multiple Object TrackingCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
Deep Audio Waveform PriorCode1
Pard: Permutation-Invariant Autoregressive Diffusion for Graph GenerationCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Patch2Self: Denoising Diffusion MRI with Self-Supervised LearningCode1
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme ConditionsCode1
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
Perception Prioritized Training of Diffusion ModelsCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
Autoencoders that don't overfit towards the IdentityCode1
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light PhotographyCode1
Pix2Video: Video Editing using Image DiffusionCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelCode1
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under UncertaintyCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
Show:102550
← PrevPage 63 of 292Next →

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