What's new in ArcGIS Reality Studio 2025.2
New and improved functionality and enhancements in Reality Studio 2025.2 are described below.
Gaussian splats
Gaussian splats can now be created by Reality Studio and shared through ArcGIS Online. This new output product is used to represents thin structures like poles, wires, and rails, as well as vegetation and reflective surfaces. Use cases include asset inspection and management, urban planning, environmental monitoring, and more.
Use a drone or an aerial sensor system to capture oblique images with high overlap.
Learn more about Gaussian splats
Distributed processing improvements
Reality Studio improves distributed processing, increasing its flexibility, reliability, and automation.
Job priority
You can manage the processing order of jobs submitted to your workspace by assigning different priority levels to them. This gives you the flexibility to adapt to evolving production timelines.
Match requirements
The Workspace Monitor pane now shows the hardware and software requirements for processing each of the submitted jobs and their tasks, as well as the capabilities of the contributing nodes. You can ensure that processing nodes only process tasks whose requirements they fulfil to optimize the utilization of contributing workstations and maximize cluster throughput.
Reality Studio Node
Reality Studio 2025.2 introduces a new Reality Studio Node executable that enables script-based deployment. You can now use a single script to install Reality Studio and start contributing to a workspace, simplifying setup of machines across your network.
With the executable processing in the background, you are free to continue working in the main Reality Studio interface.
Alignments in workspaces
Alignments are now submitted to a workspace for distributed processing, helping you scale production and optimize processing capacity.
Enhanced workflows for drone capture platforms
Reality Studio 2025.2 includes multiple improvements that streamline the setup and processing of drone data captures.
Image metadata reading
Reality Studio now automatically extracts orientation information and camera details from the image metadata (EXIF) when available, removing the need to prepare additional orientation files.
Target coordinate system
You can choose a target coordinate reference system during import, allowing you to work in your preferred coordinate system. This is often necessary for drone data.
Optimized settings for drone projects
Recommended settings for alignments are automatically derived and applied based on input data, reducing setup time and ensuring optimal quality of results.
A new capture scenario option is introduced for drone reconstructions. This new option for drone imagery considers the unique qualities of this type of data capture and optimizes the processing and default settings.
Other enhancements
Project setup is improved with more ways to customize your results in export workflows, enhanced control over data visualization, and better access to learning resources.
Improved image import
You can now add images during capture session creation and include subfolders to more efficiently import your images. If necessary, you can derive capture sessions based on the folder structure itself, making it simple to add multiple flights at once.
Templates for alignment and reconstruction settings
To simplify project setup, Reality Studio 2025.2 introduces process settings templates for alignment and reconstruction workflows. These templates can be exported and reused across projects to maintain consistency and reduce configuration time. You can also set templates as application defaults to streamline your workflow and ensure standardized processing across teams.
Custom mesh texture export
Starting with Reality Studio 2025.2, you can customize the texture resolution of mesh results exports by specifying the value. With this feature you can fulfill specific delivery requirements and support applications such as following data privacy regulations and blurring content in sensitive areas.
Visualization enhancements
Frustums can now be visualized based on the status of linked images, helping you better understand data completeness. Transparency adjustments make it easier to distinguish missing imagery, and frustum scaling can be customized across sessions for improved spatial awareness.
Help and learning access
In-app help has been improved to provide faster access to support resources. You can now open direct links to tutorials, help pages, and Esri Community from within the application, making it easier to learn, troubleshoot, and connect with others.