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 376400 of 7282 papers

TitleStatusHype
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion ModelsCode2
PC^2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D ReconstructionCode2
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial OptimizationCode2
Single Motion DiffusionCode2
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion ModelsCode2
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCode2
HumanMAC: Masked Motion Completion for Human Motion PredictionCode2
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
Streaming Anomaly DetectionCode2
Image Restoration with Mean-Reverting Stochastic Differential EquationsCode2
Simple diffusion: End-to-end diffusion for high resolution imagesCode2
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware TransformersCode2
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationCode2
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video GenerationCode2
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
DiffusionInst: Diffusion Model for Instance SegmentationCode2
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
Inversion-Based Style Transfer with Diffusion ModelsCode2
Latent Video Diffusion Models for High-Fidelity Long Video GenerationCode2
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous DenoisingCode2
SinDiffusion: Learning a Diffusion Model from a Single Natural ImageCode2
EDICT: Exact Diffusion Inversion via Coupled TransformationsCode2
Person Image Synthesis via Denoising Diffusion ModelCode2
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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