grasp_diffusion
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
Train and sample models to generate 6D grasp poses for robotics applications.
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grasp_diffusion has 353 stars on GitHub. It has been forked 38 times. grasp_diffusion is written mainly in Jupyter Notebook. It has been in active development since 2022. grasp_diffusion is available under the MIT license. Its main topics are deep-learning, diffusion, diffusion-models, grasping.
What is grasp_diffusion?
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
Is grasp_diffusion open source?
grasp_diffusion is an open-source project. It is released under the MIT license.
Is grasp_diffusion free?
Yes. grasp_diffusion is free and open source — you can use, modify and self-host it.
What license does grasp_diffusion use?
grasp_diffusion is available under the MIT license.
What language is grasp_diffusion written in?
grasp_diffusion is written mainly in Jupyter Notebook.
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