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About this paper
Yahao Shi, Yang Liu, Yanmin Wu, Xing Liu, Chen Zhao, Jie Luo, Bin Zhou
Drive Any Mesh introduces a method to animate existing static 3D meshes into dynamic 4D content, guided by monocular videos. The approach leverages a novel 4D latent diffusion model and a transformer-based VAE, enabling efficient generation of mesh vertex trajectories that are compatible with modern rendering engines.
Key insights
- Animating existing static 3D meshes with video guidance is more efficient and compatible with rendering pipelines than generating 4D content from scratch.
- A transformer-based VAE can learn a compressed 4D motion representation using "latent sets," which capture both initial geometry and temporal deformation.
- A dedicated 4D dataset, curated from Objaverse, is crucial for training models that generate high-quality dynamic mesh deformations.
Summary by alphaXiv.
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