Simplify NeRF creation and training with modular components
Nerfstudio is an open-source framework that makes working with Neural Radiance Fields (NeRFs) more accessible. It provides a modular system for building and testing 3D scene reconstruction models, with extensive documentation and community support. Designed for both researchers and developers, it simplifies the complex process of creating neural radiance fields while encouraging collaboration through its contributor-friendly structure.
Break down NeRF components for customizable workflows
Implement various NeRF techniques from OG to Gaussian Splatting
Access tutorials and interactive notebooks for NeRF education
Contribute models and datasets through open collaboration
The project welcomes contributions through their GitHub repository, including new NeRF models, datasets, and code improvements. See the contributing guide for details.
Its modular architecture allows easier customization and comparison of different NeRF components compared to monolithic implementations.
While not explicitly stated, NeRF training typically requires GPUs with adequate VRAM, as suggested by the installation documentation and research context.
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Recent data shows that Nerfstudio has 15.0K monthly visits (9.6% increase from the previous month), 56.0% bounce rate, and average 2.50 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by Spain contributing 21% of total traffic.
Monthly Visits
15.0K
Pages per Visit
2.50
Bounce Rate
56.0%
Average Time on Site
4m 5s
| Source | Traffic Share |
|---|---|
| Direct | 37% |
| Search | 50% |
| Social | 4% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 21% |
 | 19% |
 | 11% |
 | 10% |
 | 8% |
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