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
Gideon Billings, Matthew Johnson-Roberson. [
- Paper]基于RGB方式
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, Hujun Bao. [
- Paper]基于RGB方式
Sergey Zakharov, Ivan Shugurov, Slobodan Ilic. [
- Paper]基于RGB方式
Martin Sundermeyer, Zoltan-Csaba Marton, Maxmilian Durner, Manuel Brucker and Rudolph Triebel. [
- Paper]基于RGB方式
Bugra Tekin, Sudipta N. Sinha, Pascal Fua. [
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
Yinlin Hu,Pascal Fua,Wei Wang,Mathieu Salzmann. [
- Paper]深度学习方式
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas. [
- 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]基于模型
Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, and Jana Kosecka. [
Showing a sample of 36 resources. View the full list on GitHub →