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Apply for a GPU community grant: Academic project
I am applying for a ZeroGPU grant to host the interactive demo for UniSH, our latest open-source research.
Project Overview: UniSH stands for "Unifying Scene and Human Reconstruction." As shown in the attached teaser video and images, our model addresses a key challenge in 3D vision: recovering holistic 3D structures from monocular videos where humans and scenes are typically treated separately.
Why ZeroGPU? To make this research accessible to the community, I have built a Gradio demo where users can upload their own video clips to see the joint reconstruction results. However, the model requires significant VRAM to process video frames and generate high-quality 3D assets efficiently. A ZeroGPU grant would allow users to experience the speed and accuracy of UniSH interactively without needing high-end local hardware.
Check out the teaser video above to see the model in action! And also chek our project page: https://murphylmf.github.io/UniSH/
Hi @Murphyyyy , we've assigned ZeroGPU to this Space. Please check the compatibility and usage sections of this page so your Space can run on ZeroGPU.
If you can, we ask that you upgrade to Pro ($9/month) to enjoy higher ZeroGPU quota and other features like Dev Mode, Private Storage, and more: hf.co/pro