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Apply for community grant: Academic project (gpu)
The aim of our project, AvatarArtist: Open-Domain 4D Avatarization, is to transform an open-domain input portrait into a 4D digital avatar with high fidelity, temporal consistency, and expressive appearance. This is the official implementation of our CVPR 2025 paper.
Unlike previous 4D avatarization methods, AvatarArtist: Open-Domain 4D Avatarization supports diverse and stylized avatar renderings, including Lego, Ghibli-inspired, and 3D cartoon styles, enabling a new level of creativity in 4D avatar generation.
We are eager to showcase our progress to the public and provide an interactive demo for the AIGC community.
However, AvatarArtist: Open-Domain 4D Avatarization cannot run on CPU-only devices, due to the high computational demands of diffusion-based 4D generation and motion-aware rendering. GPU acceleration is required to execute the inference pipeline. Without GPU support, the system fails to run effectively, making it impossible to provide a usable demo experience.
Therefore, we would like to apply for a community GPU grant to enable public access to our system and allow users in the community to try out AvatarArtist interactively.
code: 🔗 https://github.com/ant-research/AvatarArtist
project page: https://kumapowerliu.github.io/AvatarArtist/
model: https://huggingface.co/KumaPower/AvatarArtist
arxiv: https://arxiv.org/abs/2503.19906
hugging face paper: https://huggingface.co/papers/2503.19906
Hi @KumaPower , we have assigned t4-medium to this Space for now as this Space was using it. But it would be great if this Space can run on ZeroGPU. Could you take a look at the docs and see if your Space can run on it?
@KumaPower Awesome! Thanks for migrating to ZeroGPU!