How to use NeRF Studio on Nebula Cloud

Digital Twin 3D Modeling Virtual Reality Metaverse Deep Tech Nebula Cloud

Neural Radiance Fields (NeRF) is a deep learning-based technique for 3D scene representation and reconstruction. It is a type of convolutional neural network (CNN) designed to learn a continuous and differentiable 3D representation of a scene from 2D RGB images.

NeRF takes as input a set of 2D images of a scene and produces a continuous 3D function that maps points in 3D space to RGB values. This function can then be used to generate new views of the scene from any viewpoint, including novel views not present in the input images. This allows for efficient 3D scene representation, rendering, and manipulation.

NeRF has been used in a variety of applications, including 3D scene reconstruction from single or multi-view images, 3D object recognition and detection, and virtual and augmented reality. It has proven to be a powerful and flexible technique for representing and manipulating 3D scenes, and has attracted a lot of attention in the computer vision and computer graphics communities.

Nerf Studio is a software library for creating, training, and visualizing Neural Radiance Fields (NeRFs). The goal of Nerf Studio is to provide a simple and easy-to-use interface for working with NeRFs, allowing users to focus on the process of creating, training, and visualizing their models rather than having to deal with low-level details.

The library supports an interpretable implementation of NeRFs by modularizing each component. With modular NeRF components, we hope to create a user-friendly experience in exploring the technology. Nerfstudio is a contributor-friendly repo with the goal of building a community where users can easily build upon each other’s contributions.

Supported Methods

• Nerfacto: our de facto NeRF method combines modules focused on quality with modules focused on faster rendering. Nerfstudio easily lets us experiment with the best of both worlds!
• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
• Instant NGP: Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
• Mipnerf: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
• NerfW: Neural Radiance Fields for Unconstrained Photo Collections
• Semantic NeRF: In-Place Scene Labelling and Understanding with Implicit Scene Representation

Using NeRF studio on Nebula Cloud

For the first time in the world, Nebula Cloud has enabled NeRF studio on Cloud with the choice of GPU configurations and storage options (both SSD and HDD). NeRF studio comes preconfigured and ready to use for various 3D modelling projects ranging from small scale 3D visualizations to large scale virtual production use cases.

It removes the burden on the content developers and business users for installation, configuration and administration of the NeRF studio software and its various modules.

Nebula Cloud platform significantly speeds-up the setup time and the use of software for various content development work in disciplines like photogrammetry, 3D modelling, 3D rendering, VFX, Digital Twins and other industrial use cases.

Key Features of NeRF Studio on Nebula Cloud:

1.  Virtual Windows 10 Professional Workstation comes preconfigured with NeRF Studio software library with the choice of GPU (Tesla T4) and storage options.

2.   Start using preconfigured NeRF Studio in less than 5 minutes on Nebula Cloud.

3.       No hassles of installation, configuration, administration and maintenance of the software and hardware.

4.         In-built data migration tool to move the data from on-premise IT systems to the cloud workstation and vice-versa.

5.            Scale-up/Scale-down the hardware and storage depending on the changes in the project and volume of the data.

6.      In-built SSD storage (Upto 5TB) for efficient data processing of imagery and videos.

7.            In-built HDD storage (Upto 5TB) for data storage and archival.

8.           Comes with NICE DCV, a high-performance remote display protocol that provides customers with a secure way to deliver remote desktops and application streaming from any cloud or data centre to any device, over varying network conditions.

9.          Comes preconfigured software and tools like WinSCP for FTP file transfer, Adobe Reader and many other.

10.      Pay only for the Cloud resources and use NerF Studio for free.

 

Currently made available for Australia, India, Singapore, Europe (Germany, Sweden) and USA regions. Supported by AWS Cloud.

Five Step Process:

      1.      Sign-up on nebulacloud.ai and complete the profile so that account becomes active for use.

2.      Search for NeRF Studio application in the search window at the top right of the dashboard

3.      Choose the desired CPU/GPU configuration and storage options. The system will auto-calculate the amount to be paid

4.      Recharge your account with the calculated amount considering the processing time and the volume of data

5.      Your virtual workstation with pre-configured and ready to use NeRF Studio will be deployed in 3-5 mins and is available for use.

You just have to start the session with the conda environment and start using the NeRF Studio as per your workflows:

·       Once the machine is deployed as per above recommendations, you will have a GPU enabled virtual machine created and ready for use.

·       You will see the login credentials once the machine comes into running state.

·       Use the login credentials provided and connect to the virtual machine via RDP i.e., Remote Desktop Connection

 

Note: Your virtual workstation comes pre-configured with additional software tools like NVIDIA Instant NGP, Instant NeRF Windows Binaries, Blender 3.4, Agisoft Metashape 1.8.2, MeshLab and Cloud Compare so you don’t have to worry about anything else. All required software is available in one place.

 
Training your first model

Train and run viewer

The following will train a nerfacto model, our recommended model for real world scenes.

# Download some test data:

ns-download-data nerfstudio --capture-name=poster

# Train model

ns-train nerfacto --data data/nerfstudio/poster

If everything works, you should see training progress like the following:

Navigating to the link at the end of the terminal will load the webviewer. If you are running on a remote machine, you will need to port forward the websocket port (defaults to 7007).



Sign-up for a free trial at https://nebulacloud.ai and create your first 3D NeRF scene and showcase it to the world in minutes. 

For any support related queries and availability in your region, please write to support@nebulacloud.in

Legal Disclaimer

NeRF Studio is made available for free on Nebula cloud and it is meant for educational and research purposes only. The idea is to make the software available to larger developer community in the easy-to-use way so they can focus on content development rather than spending hours together on the setup and configuration aspects.

The product is intended solely for the personal non-commercial use of the user who accepts full responsibility for its use.  While we have taken every precaution to ensure that the content of this site is both current and accurate, errors can occur. We are totally in agreement with the terms and conditions of nerf studio github license.