hustvl/GaussianDreamer
Text-to-3D generation framework using 2D and 3D diffusion models with 3D Gaussian splatting representation.
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GaussianDreamer bridges 2D and 3D diffusion models to generate 3D content from text prompts. The 3D diffusion model provides priors for initialization while the 2D diffusion model enriches geometry and appearance. It uses an explicit and efficient 3D Gaussian splatting representation to achieve fast, high-quality 3D asset generation compared to implicit neural radiance field approaches.
Frequently asked
- What is hustvl/GaussianDreamer?
- Text-to-3D generation framework using 2D and 3D diffusion models with 3D Gaussian splatting representation.
- Is GaussianDreamer open source?
- Yes — hustvl/GaussianDreamer is open source, released under the Apache-2.0 license.
- What language is GaussianDreamer written in?
- hustvl/GaussianDreamer is primarily written in Python.
- How popular is GaussianDreamer?
- hustvl/GaussianDreamer has 828 stars on GitHub.
- Where can I find GaussianDreamer?
- hustvl/GaussianDreamer is on GitHub at https://github.com/hustvl/GaussianDreamer.