awesome-6d-pose-estimation
github.com/hardy-uint/awesome-6d-pose-estimation ↗6D pose estimation algorithm
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 基于rgb方式 resources from awesome-6d-pose-estimation"
Installation instructions →What's inside
数据格式不同
- Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image - Thanh-Toan Do, Ming Cai, Trung Pham, Ian Reid.基于RGB方式
Thanh-Toan Do, Ming Cai, Trung Pham, Ian Reid.
- Paper]基于RGB方式
Mahdi Rad, Vincent Lepetit. [
- Paper]基于RGB方式
Bugra Tekin, Sudipta N. Sinha, Pascal Fua. [
- Paper]基于RGB方式
Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab. [
- Paper]基于RGB方式
Gideon Billings, Matthew Johnson-Roberson. [
- Paper]基于RGB方式
Sergey Zakharov, Ivan Shugurov, Slobodan Ilic. [
实现方式不同
- Implicit 3D Orientation Learning for 6D Object Detection from RGB Images深度学习方式
- Paper]深度学习方式
Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese. [
- Paper]深度学习方式
- Paper]Keypoint-based方式
Zelin Zhao, Gao Peng, Haoyu Wang, Hao-Shu Fang, Chengkun Li, Cewu Lu. [
- Paper]Keypoint-based方式
Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother. [
- Paper]基于分割
Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann. [
Showing a sample of 36 resources. View the full list on GitHub →