RonghaoXXXu's repositories
Awesome-generalizable-6D-object-pose
Recent papers about generalizable 6DoF object pose estimation.
awesome-nerf-editing
🧙🏻♂️A list of papers curated for you to dive into the awesome Radiance Fields approaches for 3D Editing.
cartographer_ros2
Provides ROS integration for Cartographer.
CVPR2022-Papers-with-Code-Demo
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DiffusionDepth
PyTorch Implementation of introducing diffusion approach to 3D depth perception
DirectML
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
DPT
Dense Prediction Transformers
ECCV2022-Papers-with-Code-Demo
收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！
ECCV2022-RIFE
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
ekf-imu-depth
[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
eskf-gps-imu-fusion
误差状态卡尔曼ESKF滤波器融合GPS和IMU，实现更高精度的定位
evo
Python package for the evaluation of odometry and SLAM
GANVO-PyTorch
In-progress
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
littleslam_ros2
LittleSLAM(2D-LiDAR SLAM for educational use ) ROS2 wrapper
neo-hpstr-jekyll-theme
A Jekyll blog theme
ORB_SLAM2_detailed_comments
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
pot-desktop
🌈一个跨平台的划词翻译软件 | A cross-platform software for text translation.
SLAM-BOOK
这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右，书稿每章对应的代码也会被整理出来。
SuperPoint
Efficient neural feature detector and descriptor
uestc-course
电子科技大学课程资料共享平台. Course material sharing platform of UESTC.
UESTC_LaTeX_Template
电子科技大学的论文、实验报告的LaTeX模板（第三方）
VINS-Fusion
An optimization-based multi-sensor state estimator
y1_sc_depth_pl
Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.