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Noise Estimation

Papers

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Showing 26–50 of 114 papers

TitleStatusHype
Learning Camera-Aware Noise ModelsCode1
Dual Adversarial Network: Toward Real-world Noise Removal and Noise GenerationCode1
Variational Denoising Network: Toward Blind Noise Modeling and RemovalCode1
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise ModelingCode1
Unprocessing Images for Learned Raw DenoisingCode1
Toward Convolutional Blind Denoising of Real PhotographsCode1
YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency—0
A fast sound power prediction tool for genset noise using machine learning—0
Detect and Correct: A Selective Noise Correction Method for Learning with Noisy LabelsCode0
Quantizing Diffusion Models from a Sampling-Aware Perspective—0
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image RestorationCode0
Simultaneous Motion And Noise Estimation with Event CamerasCode0
Revealing higher-order neural representations of uncertainty with the Noise Estimation through Reinforcement-based Diffusion (NERD) model—0
Understanding Flatness in Generative Models: Its Role and Benefits—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Block Phase Tracking Reference Signal (PTRS) Allocation for DFT-s-OFDM—0
Improving the Noise Estimation of Latent Neural Stochastic Differential Equations—0
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation—0
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data—0
One Homography is All You Need: IMM-based Joint Homography and Multiple Object State EstimationCode0
Diff-Shadow: Global-guided Diffusion Model for Shadow RemovalCode0
Timestep-Aware Correction for Quantized Diffusion Models—0
Convergence of the denoising diffusion probabilistic models for general noise schedules—0
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech TranslationCode0
Polynomial Chaos Expanded Gaussian Process—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CBDNetPSNR Gap8.3—Unverified
2ULRDPSNR Gap4.9—Unverified
3GRDNPSNR Gap2.28—Unverified
4DANetPSNR Gap2.06—Unverified
5PNGANPSNR Gap0.84—Unverified