Spaces:
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Apply for community grant: Academic project (gpu and storage)
We have recently released a new research paper called "Pose Anything: A Graph-Based Approach for Category-Agnostic Pose Estimation", link to the website:
https://orhir.github.io/pose-anything/
We aim to Pose Anything - given only one example image and skeleton, our method can perform pose estimation on unseen categories.
Our new demo is integrated into MMPose Projects. In addition, the demo is available through OpenXLab.
We would love to add an online demo to Huggingface as well.
Thanks in advance.
Hi @orhir , we have assigned a gpu to this space. Note that GPU Grants are provided temporarily and might be removed after some time if the usage is very low.
To learn more about GPUs in Spaces, please check out https://huggingface.co/docs/hub/spaces-gpus
Thank you for the support!