# NeRFCapture — Stream posed images with ARKit

> ARKit-powered tool for capturing 3D reconstruction datasets with accurate image poses. (iPhone/iPad app by Queensland University of Technology.)

- Source: https://appshunter.io/ios/app/nerfcapture/id6446518379 (this page in markdown: same URL + `.md`)
- Developer: [Queensland University of Technology](https://appshunter.io/developer/333206424)
- Category: Utilities, Education
- Price: Free
- Rating: 5.00/5 from 2 App Store ratings
- Age rating: 4+
- Requires: iOS 15.0 · 2 MB
- Languages: English
- Released: 2023-03-22
- Data updated: 2026-06-04
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/nerfcapture/id6446518379/reviews.md

## What is NeRFCapture?

The use of Neural Radiance Fields (NeRFs) for 3D reconstruction is on the rise, but the challenge of obtaining a suitable dataset for NeRFs persists. This difficulty arises from the need for a collection of images whose positions and calibration parameters are accurately determined. NeRFCapture addresses this challenge by leveraging ARKit to establish the pose of each captured image. The resulting dataset, containing images and their respective poses and calibration parameters, can be saved offline or shared directly with your preferred NeRF implementation over the network. NeRFCapture seamlessly integrates with InstantNGP, a popular NeRF implementation, and allows for real-time data transfer using DDS with automatic peer discovery. Furthermore, NeRFCapture can also broadcast depth data if your iOS device is equipped with LiDAR. Simplify your data capture process with NeRFCapture (https://github.com/jc211/NeRFCapture), an open-source tool that encourages contributions from the community. For detailed instructions on using InstantNGP with NeRFCapture, please refer to https://github.com/NVlabs/instant-ngp/blob/master/docs/nerf_dataset_tips.md#NeRFCapture.

## Key features

- ARKit integration for image pose estimation
- Dataset saving for offline use
- Direct sharing with NeRF implementations
- Real-time data transfer with DDS
- Automatic peer discovery
- Optional LiDAR depth data broadcasting


## Frequently asked questions about NeRFCapture

### What is NeRFCapture used for?

NeRFCapture is used to create datasets for Neural Radiance Fields (NeRFs) by capturing images with their precise positional and calibration data. This simplifies the process of 3D reconstruction.

### How does NeRFCapture work?

It utilizes ARKit to determine the pose and calibration parameters of each captured image. This data is then saved or shared with NeRF implementations.

### Can NeRFCapture be used with other NeRF tools?

Yes, NeRFCapture is designed to integrate with NeRF implementations like InstantNGP. It supports real-time data transfer using DDS with automatic peer discovery.

### Does NeRFCapture support LiDAR devices?

If your iOS device is equipped with LiDAR, NeRFCapture can broadcast depth data. This adds another layer of information to your captured dataset.

### Is NeRFCapture free to use?

Yes, NeRFCapture is a free, open-source tool. Its source code is available on GitHub, encouraging community contributions.

### What devices is NeRFCapture compatible with?

NeRFCapture is supported on iPhone, iPad, and iPod devices. It requires ARKit, which is available on compatible iOS devices.

### How often is NeRFCapture updated?

NeRFCapture was last updated on March 22, 2023, with version 1.0. As an open-source project, updates may depend on community contributions.

### What is the age rating for NeRFCapture?

NeRFCapture has an age rating of 4+. This indicates it is suitable for general audiences and does not contain mature content.

## Version history (last 1 release)

### 1.0 — 2023-03-22

No release notes.

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## Related topics

[nerfcapture](https://appshunter.io/ios/topics/nerfcapture) · [nerf capture](https://appshunter.io/ios/topics/nerf-capture) · [cerf 2025](https://appshunter.io/ios/topics/cerf-2025)

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