Coding
- git基本命令
- 算法学习笔记
- 在线游戏之——下棋啦
- 给GitHub Profile做个贪吃蛇游戏
- Academic Profile的管理及其在Jekyll博客中的可视化
- 利用 GitHub Actions 为 Markdown 项目自动添加目录
- Hello World
SLAM
- 实验笔记之——动态场景下MASt3R及MASt3R-SLAM的测试
- 论文复现之——《Easi3R: Estimating Disentangled Motion from DUSt3R Without Training》
- Paper Survey之——Awesome SLAM for Legged Robot
- 论文学习及实验笔记之——《MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion》
- Paper Survey之——Awesome Diffusion-based SLAM
- 论文学习及实验笔记之——《SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos》
- Paper Survey之——LiDAR-SLAM中的退化检测
- Paper Survey之——Awesome NeRF SLAM
- 智驾中的“无图”
- Paper Survey之——Awesome Learning-based VO and VIO
- Paper Survey之——Awesome Transformer-based SLAM
- 实验笔记之——Sweep Robot/扫地机器人
- Paper Survey之——Awesome Dynamic SLAM
- Paper Survey之——Awesome 3DGS SLAM
- 论文阅读及复现笔记之——《Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass》
- 论文阅读笔记之——Reinforcement Learning for Visual Odometry
- 实验笔记之——MASt3R-SLAM
- 论文复现之——《AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability》
- 论文复现之——《AirIMU: Learning uncertainty propagation for inertial odometry》
- Paper Survey之——Awesome Deep IMU-Bias Inference
- 学习笔记之——SF-Loc
- Occupancy-SLAM论文阅读
- Fast-LIVO2复现及论文阅读
LiDAR
Deep Learning
- 实验笔记之——动态场景下MASt3R及MASt3R-SLAM的测试
- 论文复现之——《Easi3R: Estimating Disentangled Motion from DUSt3R Without Training》
- 论文阅读及实验复现之——《E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting》
- 论文学习及实验笔记之——《MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion》
- Paper Survey之——Awesome Diffusion-based SLAM
- 论文学习及实验笔记之——《SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos》
- 论文学习及实验笔记之——《VGGT: Visual Geometry Grounded Transformer》
- 从图像数据集中生成事件数据
- What is Diffusion and Deep Generative Modeling
- Paper Survey之——Awesome NeRF SLAM
- Paper Survey之——Awesome Learning-based VO and VIO
- Paper Survey之——Awesome Transformer-based SLAM
- What is Transformer? Form NLP to CV
- 论文阅读及复现笔记之——《Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass》
- 论文阅读笔记之——Reinforcement Learning for Visual Odometry
- 实验笔记之——MASt3R-SLAM
- 实验笔记之——Contrast Maximization for Learning Sequential Event-based Optical Flow
- 论文复现之——《AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability》
- 论文复现之——《AirIMU: Learning uncertainty propagation for inertial odometry》
- Paper Survey之——Awesome Deep IMU-Bias Inference
- 学习笔记之——SF-Loc
- 学习笔记之——SEA-RAFT