Awesome-Implicit-NeRF-Robotics
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| Awesome-Implicit-NeRF-Robotics | CenterSnap | |
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| 1 | 4 | |
| 1,134 | 272 | |
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| 6.2 | 4.0 | |
| 7 months ago | 2 months ago | |
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Awesome-Implicit-NeRF-Robotics
CenterSnap
- Who is building StableDiffusion/DALL-E but for 3D assets?
- [D] Diffusers applied to 3D model generation
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In A Latest Computer Vision Research, Researchers Propose ShAPO; An End-To-End Method For Joint Multi-Object Detection, 3D Textured Reconstruction, 6D Object Pose, And Size Estimation
Continue reading | Check out the paper, github link and project page.
- 6DOF Pose Estimation using RGBD data
What are some alternatives?
visual-slam-roadmap - Roadmap to become a Visual-SLAM developer in 2023
text2mesh - 3D mesh stylization driven by a text input in PyTorch
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.
text2voxels - Generate 3D voxels from text with AI
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
virtual_drawing_board - Virtual whiteboard with hand pose estimation
awesome-6d-object - Awesome work on object 6 DoF pose estimation
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
Clip-Forge
GPV_Pose - pytorch implementation of GPV-Pose
daydreamer - DayDreamer: World Models for Physical Robot Learning