Hengyi's Notebook
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    HengyiWang/Notebooks
    HengyiWang/Notebooks
    • Welcome
      • Fourier Transform and its Applications
      • Linear Algebra
      • Optimal Transport
      • Vector Calculus
        • Lie Group and Lie Algebra
        • Monocular Depth Estimation
        • Orthogonal Procrustes Problem
        • Understanding Quaternion
        • Rotation and Transformations in 3D
        • Weiszfield algorithm
        • Camera Sensors
        • Camera Calibration
        • SLAM
        • Learning-based SLAM
        • DUSt3R and Spann3R
        • Traditional Methods
        • 3D Gaussian Splatting
        • Marching Cubes
        • From NeRF to Surf
        • Volume Rendering and NeRF
        • From Point Cloud to Surface
        • Back propagation
        • 3D Diffusion Models
        • Diffusion models
        • Score-based Generative Models
        • Autoencoders and Variational Autoencoders
      • Graph Neural Networks
      • Transformer
        • Overview
          • Dynamic Programming
          • DFS/Backtracking Algorithm
          • Broad First Search
          • Greedy Algorithm
            • Data Structure
            • Sort
          • Linked List
          • Array
          • Binary Tree
          • Graph
      • C programming
      • CUDA Programming
        • Flow Matching and Diffusion Models
        • Probability
        • Machine Learning for Machine Vision
        • Connecting Local Models
        • Models for Geometry
        • Models for Vision
        • Reconstruction I: Single Viewpoint
        • Lecture 2: Image Formation
        • Lecture 3: Structure from Motion
      • CUDA environments
      • GCC in Anaconda
      • Linux
      • NeRFAcc
      • Pose
      • JADE HPC
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