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 901925 of 7282 papers

TitleStatusHype
Burst Denoising of Dark ImagesCode1
ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsCode1
CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical SystemsCode1
Bilevel Fast Scene Adaptation for Low-Light Image EnhancementCode1
Image Denoising Using Green Channel PriorCode1
A Continuous Time Framework for Discrete Denoising ModelsCode1
Image Restoration by Iterative Denoising and Backward ProjectionsCode1
Binarized Low-light Raw Video EnhancementCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
CERL: A Unified Optimization Framework for Light Enhancement with Realistic NoiseCode1
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
bit2bit: 1-bit quanta video reconstruction via self-supervised photon predictionCode1
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion GenerationCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising LearningCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
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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