Awesome-Implicit-NeRF-Robotics
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites (by zubair-irshad)
awesome-6d-object
Awesome work on object 6 DoF pose estimation (by ZhongqunZHANG)
| Awesome-Implicit-NeRF-Robotics | awesome-6d-object | |
|---|---|---|
| 1 | 1 | |
| 1,134 | 662 | |
| - | - | |
| 6.2 | 6.0 | |
| 7 months ago | about 1 month ago | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-Implicit-NeRF-Robotics
Posts with mentions or reviews of Awesome-Implicit-NeRF-Robotics.
We have used some of these posts to build our list of alternatives
and similar projects.
awesome-6d-object
Posts with mentions or reviews of awesome-6d-object.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing Awesome-Implicit-NeRF-Robotics and awesome-6d-object you can also consider the following projects:
visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"