An open API service providing repository metadata for many open source software ecosystems.

Topic: "noise-modeling"

Srameo/LED

[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

Language: Python - Size: 1.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 252 - Forks: 22

megvii-research/PMN

[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

Language: Python - Size: 464 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 119 - Forks: 14

fenghansen/PNNP

Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising

Language: Python - Size: 103 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

dongjinkim9/NAFlow

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows, in ICLR 2024

Language: Python - Size: 4.73 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 1

SebaPythonGPT/radar-pulse-simulation-matlab

# Radar Pulse Simulation in MATLABThis project simulates a pulsed radar system with multiple moving targets in MATLAB. It features dynamic visualization and fluctuating radar cross-section (RCS) for effective target detection. 🚀👩💻

Language: MATLAB - Size: 659 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

edybass/environmental-impact-assessment

🌿 Professional EIA automation tool for construction projects in UAE & Saudi Arabia. Includes noise modeling, dust assessment, and regulatory compliance

Language: Python - Size: 87.9 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

Wondermongering/NonLinearDataGen

A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations

Language: Python - Size: 20.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0