Physics3D
Explore a state-of-the-art simulation-rendering framework that effectively utilizes video diffusion models for decoding the dynamics of 3D Gaussian physics. The project includes available training code, synthetic datasets, and forthcoming additions such as tutorials and demonstrations. Benefit from pre-trained 3D Gaussian model integration and text-to-video diffusion model optimization for enhanced physical parameter tuning. This tool, underpinned by valuable open-source methodologies and datasets, serves as a robust platform for advancing physics simulation research.
