Nerfstudio Open-Source Neural Radiance Field & Gaussian Splatting Framework
Nerfstudio is the leading open-source framework for Neural Radiance Fields (NeRF) and Gaussian Splatting, backed by NVIDIA with CUDA-accelerated training and real-time rendering.
Quick Facts
- Developer
- UC Berkeley / NVIDIA (open-source community)
- Category
- Gaussian Splatting & Neural Rendering
- Pricing
- Free
- Starting Price
- $0
- Best For
- Researchers and developers building custom GS/NeRF pipelines
We use Nerfstudio for professional projects. See our workflow →
What is Nerfstudio?
Nerfstudio is the most widely adopted open-source framework for neural 3D reconstruction, supporting both Neural Radiance Fields (NeRF) and 3D Gaussian Splatting through its modular architecture. Developed at UC Berkeley with significant NVIDIA backing, Nerfstudio provides a unified platform for training, evaluating, and deploying neural 3D scene representations.
The framework includes the gsplat library — a CUDA-accelerated Gaussian Splatting rasterizer that achieves real-time rendering at 60+ FPS with training times measured in minutes to hours (compared to NeRF's hours-to-days training). The splatfacto module implements 3D Gaussian Splatting within Nerfstudio's pipeline, enabling researchers and professionals to experiment with GS using any photo or video input.
Nerfstudio supports multiple reconstruction methods beyond vanilla 3DGS, including advanced implementations like EGGS (Exchangeable Gaussian Splatting) for improved geometric accuracy, EVolSplat4D for dynamic urban scenes, and various NeRF architectures (Instant-NGP, Nerfacto, TensoRF). This makes it both a production tool and a research platform.
At THE FUTURE 3D, we use Nerfstudio for R&D benchmarking — comparing our DJI Terra Flagship GS output quality against open-source implementations to ensure we deliver the best possible results. Nerfstudio also serves as a reference implementation when explaining GS technology to technically sophisticated clients.
Nerfstudio Key Features
Comprehensive capabilities that make Nerfstudio a professional choice for gaussian splatting & neural rendering.
Gaussian Splatting (splatfacto)
Train 3D Gaussian Splatting models from photos or video. CUDA-accelerated via the gsplat library with real-time 60+ FPS rendering. Minutes-to-hours training time.
Neural Radiance Fields
Multiple NeRF implementations: Instant-NGP, Nerfacto, TensoRF, and more. Unified training pipeline with consistent evaluation metrics (PSNR, SSIM, LPIPS).
gsplat CUDA Library
Standalone CUDA-accelerated Gaussian Splatting rasterizer. Reproduces official 3DGS performance metrics. Used as a dependency by many other GS projects.
Modular Architecture
Plugin-based design for easy integration of new methods, data loaders, and renderers. Researchers can add custom implementations without modifying core code.
Web Viewer
Built-in web viewer for real-time visualization of trained scenes. Supports camera path export and render output.
COLMAP Integration
Automatic camera pose estimation via COLMAP Structure-from-Motion. Accepts photos, video frames, and pre-computed camera transforms.
Nerfstudio Pricing & Plans
Contact UC Berkeley / NVIDIA (open-source community) for custom pricing options.
Open Source
- Full framework functionality
- Apache 2.0 license
- CUDA-accelerated gsplat library
- All NeRF and GS methods
- Community support via GitHub
Don't Want to Buy Software?
At THE FUTURE 3D, we own Nerfstudio licenses and use it for client projects. You get professional gaussian splatting & neural rendering deliverables without purchasing software yourself. Get a free project quote →
Nerfstudio Pros & Cons
Advantages
- Free and open-source (Apache 2.0) — full commercial use allowed
- Both NeRF and Gaussian Splatting in one framework
- CUDA-accelerated with 60+ FPS real-time rendering
- Active development backed by UC Berkeley and NVIDIA
- Modular architecture for custom implementations
- Used by ILM, NVIDIA, and major research institutions
Limitations
- Requires NVIDIA GPU with CUDA support — no AMD or Apple Silicon GPU
- Technical setup required (Python, CUDA, conda environment)
- Command-line driven — no GUI for training configuration
- Not a production application — research-oriented framework
- Output quality varies significantly with capture quality and parameter tuning
Who Should Use Nerfstudio?
Nerfstudio is Best For
- Researchers and developers building custom GS/NeRF pipelines
- Benchmarking and comparing GS methods
- Processing any photo/video into GS without commercial software costs
- VFX studios with technical teams (ILM uses it for production)
- Academic research in neural 3D reconstruction
- Custom GS training with fine-tuned parameters
Consider Alternatives If
- Non-technical users without Python/CUDA experience
- Quick one-click GS generation (use Luma AI or Polycam instead)
- AMD GPU or Apple Silicon users (CUDA required)
- Production workflows requiring GUI-based tools
- Survey-grade accuracy requirements
Technical Specifications
System Requirements
- Operating System
- Linux (Ubuntu 22.04+ recommended), Windows 10/11 (WSL2), macOS (CPU only, no CUDA)
- RAM
- 32GB minimum (64GB+ for large scenes)
- Storage
- 50GB+ (datasets + models)
- GPU
- NVIDIA GPU with CUDA 11.8+ (RTX 3060+ minimum, RTX 4090 recommended)
Supported File Formats
Integrations & Compatible Platforms
How We Use Nerfstudio
Our professional workflow leveraging Nerfstudio for client projects.
R&D benchmarking: compare DJI Terra GS output against Nerfstudio implementations
Custom parameter tuning for challenging scenes
Quality comparison between GS methods (splatfacto vs 3DGS vs NeRF)
Reference implementation for client technical discussions
Deliverables We Produce with Nerfstudio
Related Services Using Nerfstudio
Compatible Equipment
Nerfstudio works with data from these scanners and drones that we use.
Nerfstudio Services Near You
We provide professional gaussian splatting & neural rendering services using Nerfstudio across 195+ locations in the United States and worldwide. 1-hour response time.
South Florida (HQ)
Florida
Northeast
West Coast
Midwest
Nerfstudio FAQ
Is Nerfstudio free?
Yes. Nerfstudio is free and open-source under the Apache 2.0 license, which allows full commercial use. However, it requires an NVIDIA GPU with CUDA support and technical setup (Python, conda environment).
Does Nerfstudio support Gaussian Splatting?
Yes. Nerfstudio supports 3D Gaussian Splatting through its splatfacto module and the standalone gsplat CUDA library. It achieves real-time 60+ FPS rendering with training times of minutes to hours, compared to NeRF's hours-to-days training.
Nerfstudio vs Luma AI?
Nerfstudio is a local, open-source framework requiring an NVIDIA GPU and technical expertise — ideal for custom pipelines and research. Luma AI is a free cloud service for one-click GS from smartphone video — ideal for quick, high-quality results without technical setup.
What GPU do I need for Nerfstudio?
Minimum: NVIDIA RTX 3060 (8GB VRAM) with CUDA 11.8+. Recommended: RTX 4090 (24GB VRAM) for large scenes and fast training. AMD and Apple Silicon GPUs are not supported for CUDA-accelerated training.
Can Nerfstudio process drone imagery?
Yes. Nerfstudio accepts any photo or video input, including drone aerial imagery. It uses COLMAP for automatic camera pose estimation. For professional drone-based GS, DJI Terra Flagship provides an integrated pipeline optimized for DJI drone data.
What is the gsplat library?
gsplat is Nerfstudio's standalone CUDA-accelerated Gaussian Splatting rasterizer. It reproduces official 3DGS performance metrics and is used as a dependency by many other GS research projects. Available separately on GitHub.
Who uses Nerfstudio?
Nerfstudio is used by ILM (Lucasfilm/Disney) for VFX production, NVIDIA for research and Omniverse integration, hundreds of academic research groups, and VFX studios worldwide. ILM credits Nerfstudio with reducing complex shot production from months to days.
NeRF vs Gaussian Splatting: which should I use?
Gaussian Splatting is generally preferred in 2026: faster training (minutes vs hours), real-time rendering (60+ FPS vs slow per-frame), and easier editing. NeRF may produce smoother results for certain scenes. Nerfstudio supports both, so you can compare directly.
Need Professional Gaussian Splatting & Neural Rendering Services?
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