Cesium for Omniverse v0.25.0

Cesium for Unity Samples v1.16.1

CesiumJS 1.131

Cesium ion

In June, we announced a geospatially accurate 3D Globe in QGIS supported by a Cesium Ecosystem Grant, shared our roadmap to seek your guidance as we bring iTwin digital twin capabilities to Cesium, enabled draping imagery layers on 3D Tiles in CesiumJS, and welcomed the community to Philadelphia for the first Cesium Developer Conference. 

The iconic red PSFS letters on top of the Loews Philadelphia Hotel went blue one night and green the next during the 2025 Cesium Developer Conference.

We made improvements across Cesium this month. To get notifications about our monthly releases, you can subscribe to the Cesium release roundup thread on our community forum.

CesiumJS 1.131 is now available. Highlights of the release include:

Added experimental support for loading 3D Tiles with Gaussian splats encoded with SPZ compression using the draft glTF extension. KHR_spz_gaussian_splats_compression in CesiumJS 1.130.1 #12582 

Added HeightReference to Cesium3DTileset.ConstructorOptions to allow clamping point features in 3D Tile vector data to terrain or 3D Tiles. #11710 

Added the ability to pass OffscreenCanvas & ImageBitmap directly to Material uniforms. #12558 

Fixed raymarching step size for cylindrical voxels. #12681 

Fixes handling of tileset modelMatrix changes for translations and rotations in GaussianSplatPrimitive. #12706 

Gaussian splats (left) compared to 3D Tiles Mesh (right) in CesiumJS. Try the Sandcastle.

Cesium for Unreal v2.17.0 is now available. This is the last release of Cesium for Unreal that will support Unreal Engine v5.3. Future versions will require Unreal Engine v5.4+.

Added a C++ and Blueprint API for loading and accessing GeoJSON data. 

Feature IDs that are encoded by UCesiumFeaturesMetadataComponent will now use a default null feature ID of -1 instead of 0. 

Materials generated by UCesiumFeaturesMetadataComponent now always check for null feature IDs, assuming a default value of –1. 

Check the Cesium for Unreal release and the Cesium for Unreal Samples release for the full list of updates.

Download the Cesium for Unreal plugin from Epic Marketplace

Landmarks in an area in Singapore, parsed from GeoJSON and visualized in Cesium for Unreal. Sourced from iTwin Reality Feature Service (support in progress).

Cesium for Unity v1.16.2 is now available. Highlights of this release include:

Fixed broken support for TRIANGLE_FAN primitives in tile meshes. 

Fixed an editor crash that occurred when any scale component on Cesium3DTileset was set to zero. 

Fixed a bug where CameraFlyToController, after the user interrupted a flight, would jump to the middle of the flight path immediately upon starting the next flight. 

Check the Cesium for Unity changelog for the full list of updates, and follow our Cesium for Unity tutorials to get started. 

Mesh reconstruction from photos is available as a technical preview. Upload geolocated photos and select the Photos (for 3D reconstruction) option. Read more. 

Added the ability to perform analysis on point clouds to produce classified point clouds. Try it with the Analyze button on the asset details panel. Read more. 

Gaussian splats is available as a technical preview. Upload a PLY file and enable the Gaussian splats toggle. Read more. 

Fixed a rare issue with tile subdivision that could cause unnecessarily deep tileset trees. 

Fixed an issue causing a crash for some models with no materials. 

Set the mipmap generation option to be off by default. 

Check the changelogs for the full list of updates for Cesium ion SaaS and Cesium ion Self-Hosted.

Cesium ion “city detector” analysis tool as seen in Cesium Stories.

To promote the adoption of a structural health monitoring system, earthquake engineering researcher Kensaku Kaneko is pioneering a new approach—visualizing building safety through 3D web GIS with CesiumJS. 

Hobu developed its browser-based Eptium viewer using CesiumJS to enable users to visualize and interact with massive point clouds and raster data. 

Nippon Koei uses Cesium ion and Cesium for Unreal, significantly streamlining the acquisition and processing of accurate geospatial context for a design area. 

HNTB’s Immersive Media Solutions team uses Cesium ion, Cesium for Unreal, Cesium for Unity, and Google Photorealistic 3D Tiles to help community stakeholders better understand proposed infrastructure projects and engage meaningfully in the approval process. 

It’s been just over nine months since Cesium joined Bentley Systems. We’ve used that time to learn more about the technologies built by Bentley and opportunities to bring them to the community. As we look forward to the first Cesium Developer Conference, we are sharing our roadmap to seek your guidance as we bring iTwin digital twin capabilities to Cesium. 

Our mission is to empower the community to build 3D geospatial experiences at the convergence of the built and natural environment. 3D Tiles has seen tremendous adoption, including by Google, Esri, Ansys, FOX Sports, The Weather Company, GE Aerospace, MathWorks, CAE, Trimble, and DroneDeploy, to name a few. Cesium ion receives more than 300 million monthly requests from over 30,000 monthly active users. Cesium’s runtime engines—CesiumJS, Cesium for Unreal, Cesium for Unity, and Cesium for Omniverse—continue to enable rapid development of new 3D geospatial applications by an ever-growing community as we continue to deeply invest in open source. There is bottomless demand for more curated data, high-performance tiling pipelines that support more inputs, tools for more efficient end-to-end workflows, and improved end-to-end performance. 

As part of Bentley, we have the opportunity to radically empower and expand the 3D geospatial community by leveraging best-in-class technology from Bentley to benefit all the broader ecosystem. Cesium has always been guided by community input, and we’d like your feedback on these themes on our roadmap: 

Integrate reality modeling and AI-powered analysis services with Cesium ion; 

Expose iTwin Platform APIs and services through Cesium; 

Introduce composable tiling pipelines to optimize your data as 3D Tiles; 

Advance Cesium runtime engines to capitalize on new 3D Tiles extensions and platform integrations; 

Provide reusable and configurable user experience tools and widgets; and 

Improve learning material and ongoing maintenance. 

3D Tiles is the core of the platform. It is the thread that weaves through the entire platform and community to be a cohesive end-to-end workflow, empowering developers to build extraordinary applications. We’re adding several capabilities to 3D Tiles that have been long requested by the community. 

Users across industries are capturing the environment at ever greater resolutions, more frequently, and with more types of devices. This exponential scaling creates opportunities to extend the 3D Tiles specification for more efficient storage, streaming, visualization, and analysis of 3D geospatial data that is spatially coherent and updated over time. 

Time-dynamic 3D Tiles is an extension that efficiently introduces the time dimension to 3D Tiles. Using time-dynamic tiles allows a single tileset to be updated over time, with each new capture updating only affected tiles. No longer will an entirely new tileset need to be created for each update; a single tileset can be updated incrementally, preserving a history of changes and allowing for more efficient and faster generation of updated tiles.  These can be used for analytical workflows, too, such as changeset analysis over time and comparing tilesets over time to design models. Visit the GitHub issue to share your input. 

Time-dynamic tiles allow a single tileset to be updated over time, with each new capture updating only affected tiles.

We’re also exploring connecting Bentley’s SYNCHRO 4D Schedule API to generate time-dynamic 3D tilesets. The SYNCHRO 4D Schedule API allows time-dynamic project data to be accessed and used over the web. This connection will converge time-dynamic geometry with business intelligence. 

Volumetric data has become an important way to visualize real-world content in numerous domains where continuous representation of data is required, such as geology, oceanography, and climate science. The 3D Tiles specification is intentionally flexible in supporting a variety of geometry types to best represent massive heterogenous data. By using voxels (volumetric elements) as a 3D payload with 3D Tiles, you will be able to build applications with global-scale volumetric data. We’re working on ellipsoidal, cuboid, and cylindrical voxels as a starting point in the 3D Tiles specification with glTF as the voxel payload. This will enable opportunities for volumetric data for subsurface, land, air, and space. Take a look at the draft Voxels extension. 

Water temperatures in the Gulf of Mexico represented using Voxels in CesiumJS.

One of the most popular topics recently in computer graphics is 3D Gaussian splats. High-resolution reality meshes and point clouds are fantastic for digitalizing our natural environment, but they fall short in capturing a few types of information, such as cables, trees, bars, telecom towers, etc. 3D Gaussian splats have proven to be a fantastic solution for preserving visual detail while maintaining very high fidelity. 

We are excited to add 3D Gaussian splats as a payload type in 3D Tiles, including adding the technology behind iTwin Capture to Cesium ion to enable modeling and tiling of 3D Gaussian splats. We’re collaborating with the glTF community and introducing a 3D Gaussian splat extension for glTF.  

Comparing 3D Gaussian splats using 3D Tiles (left) with Reality Meshes (right), with particular significance to the thin-and-long geometry such as wires, dishes, poles, and scaffolding.

Bentley Systems was an early adopter of 3D Tiles and has developed extensions to enhance the 3D visualization capabilities required for detailed infrastructure models. Cesium joining Bentley presents the opportunity to converge these extensions and runtime implementations to make them accessible to the entire community.  We are working on adding edges and wireframes, line rendering and materials (width, patterns, colors), customizable point sizes, billboards for annotations, and more. 

A 3D Tileset visualized in iTwin.js with glTF EXT_mesh_primitive_edge_visibility extension for highlighting edges.

Implicit surfaces enable representations of parametric shapes—like pipes, columns, beams, boxes, spheres, and cylinders—when used with other implicit surfaces for the creation of complex geometries that are hard to represent with triangle meshes. The benefits of this are in the storage and accuracy for analytics. Because the surfaces are not approximated as triangles meshes, the surfaces are rendered without geometric error. We are building on the glTF implicit shapes extension, introduced by Microsoft. 

The 3D Tiles specification supports rich metadata that adds properties and classifications to geometry. The metadata specification is written with the intent to add semantics at different granularities and for a variety of industries and use-cases. There is a need to define semantic vocabularies in the architecture, engineering, and construction (AEC) industry that also offer a taxonomy applicable to classes of objects. Capturing the meaning of these classes in a standard vocabulary enables downstream repurposing of this information in AI-driven data validation, data–interoperability, analytics, or interactivity. For example, downstream understanding that a class in a custom user-schema is modeling “doors” could be captured in terms of an applicable standard vocabulary—from IFC, Uniclass, or BIS—which other data consumers could operate on.  

The Base Infrastructure Schema (BIS) is a family of modular schemas that express taxonomy, data structure, and relationships for modeling federated data from infrastructure engineering. BIS schemas are organized into layers, most of them defining the rules and patterns considered as standard in the BIS ecosystem. The semantics embedded in standard BIS schemas have proven to be valuable in contexts beyond iModels.  

We’re working on a 3D Tiles extension for metadata semantics to cover classes, as well as ensuring encoding properly enables BIS and other similar semantic vocabularies.  

Integrate reality modeling and AI-powered analysis services with Cesium ion

One of the most exciting outcomes of Cesium joining Bentley is the opportunity to integrate reality modeling and AI-powered analysis services with Cesium ion. You have been vocal about wanting to be able to upload photos to generate 3D models, and we’re thrilled to be able to deliver on that by integrating the industry-leading technology used in iTwin Capture with Cesium ion. By using an integrated end-to-end pipeline from photos to 3D Tiles and from 3D Tiles to rendering and analytics, we aim to provide the best-in-class experience for using reality data in your 3D geospatial applications. With the advancements in 3D Gaussian splats, this will also support the pipeline to go from photos to 3D tilesets of splats. 

Adding Reality Modeling to Cesium ion enables users to create 3D Tiles from photos as input using the reality modeling technology used in iTwin Capture.

Reality analysis using AI feature detectors

Bentley has also built the technology to identify objects, regions of interest, or defects in reality data using AI. By integrating reality analysis into Cesium ion, we want to enable users to apply 3D segmentation and classification to reality. This analysis will be enabled in two forms: 

Embedded metadata in the 3D Tileset, allowing for runtime querying, styling, and filtering. 

Supplemental vector data as features extracted from the reality data, which can be used for overlays, annotations, and styling. 

We are adding vector data support in Cesium’s native plugins to enable all runtimes to use the results of the reality analysis. The result: real-world insights into reality data, supporting data-driven decisions. 

A 3D Tileset of a point cloud with embedded classification generated using AI-enabled reality analysis service.

For an initial release, we’ll enable analysis on reality meshes and point clouds, providing you with options through a growing list of curated analysis detectors. You will be able to analyze models already uploaded to ion, or generated with ion’s new reality modeling capabilities, creating an efficient, end-to-end workflow. The curated detectors include analysis for segmentation of trees, railway objects, and city elements, as well as others.  

In future releases, you can create your own custom detectors to run in ion. We are planning for 3D analysis of Gaussian splats, 2D segmentation of photo collections, and offering analysis in Cesium ion Self-Hosted.  

Expose iTwin Platform APIs and services through Cesium

iTwin Platform powers digital twin solutions that are used in AEC applications to design, build, and operate infrastructure around the world. By connecting iTwin and Cesium platforms, our goal is to provide a complete platform for digital twin experiences for the built and natural environment, with a strong commitment to open source, open standards, and open APIs. 

Exposing iTwin Platform APIs and services through Cesium channels will enable you to leverage capabilities like clash detection for design reviews; change elements to monitor design updates; perform analysis, such as carbon calculations; and apply AI-powered federated search to search and filter across 3D objects, engineering information, and business documents. Using iTwin Platform’s synchronization services, you will be able to bring in many more inputs for design models, which can then be added to Cesium apps as 3D Tiles. 

Clash detection and review shown in iTwin.js. 

Introduce composable tiling pipelines to optimize your data as 3D Tiles

Tiling pipelines to create 3D Tiles enable you to bring your own data into your 3D geospatial applications, a core requirement for most use cases. Over the years, Cesium has developed and introduced many tiling pipelines for different types of data: reality data, point clouds, design models, 3D buildings, terrain, imagery, and more. All of these tiling pipelines have their technological merits, but they are siloed based on the type of input data. Adding Bentley’s tiling pipelines for reality data and AEC design models results in even more tiling and optimization algorithms—that are also siloed. 

The vision for composable tiling pipelines is to have a unified, modularized, plugin-based pipeline that allows users to configure the stages for data conversion, tiling, and optimization. Example stages can include input file format conversions, coordinate system operations, mesh decimation, texture simplification, choice of tiling schemes, texture atlasing, mesh and texture compression, metadata processing, incremental updates, 3D Tiles-to-3D Tiles optimization, and output validation. The stages will be connected using a graph structure allowing the mix and match of stages, with a set of standard ready-to-use pipelines available to all of our users. 

Improvements to AEC-to-3D Tiles workflows

Community reception of Cesium’s Design Tiler and Cesium ion for Autodesk Revit Add-In has been overwhelmingly positive, with lots of input on more design applications and features to be supported. With additions from Bentley software, we aim to level up the workflows for AEC data in key areas: 

Support for other CAD formats to 3D Tiles, such as Navisworks, MicroStation, and SketchUp. 

Ability to do incremental near real-time tiling. As you are creating and updating your designs, we want to add the ability to tile only the changed elements, rather than the entire model. This will shorten the life cycle by having a ready-to-go 3D Tileset alongside your design models at all times. This will be complemented by lightweight apps to synchronize your designs into a geospatial experience. 

Enhancements to the LOD generation in the Design Tiler to better support even larger and high-detail projects. 

Specialized 3D Tiles selection algorithms using metadata-driven rendering, filtering, and search. 

Triangle mesh of an AEC model with 10 million triangles created in Autodesk Revit and visualized in CesiumJS using 3D Tiles.

If you’d like to see specific software or features supported, reach out to us on the community forum. 

Advance Cesium runtime engines to capitalize on new 3D Tiles extensions and product integrations

Cesium’s open source runtime engines—CesiumJS for the browser and plugins for Unreal Engine, Unity, and NVIDIA Omniverse—are the face of the platform as the software users experience and interact with the most. The roadmap for runtime engines will advance the convergence of built and natural environment, AEC and geospatial, and of iTwin Platform and Cesium, providing developers and users with extended capabilities. 

The biggest impact for runtime engines will be the implementation and deep integration of the aforementioned updates to the 3D Tiles specification including 3D Gaussian splats, voxels, time-dynamic 3D Tiles, geometry highlights, implicit surfaces, and more. The addition of these advancements in every runtime will be a giant leap forward for many industries and applications. 

With the aim to lower the barrier to entry for building applications that integrate iTwin Platform APIs and services, we’ll add developer APIs and user interfaces for easy integration with iTwins. This means you will be able to build 3D geospatial applications integrating engineering and business information from iTwin into Cesium applications, similar to services like Cesium ion. 

In addition to the cross-cutting updates we covered above, we’re also making engine-specific improvements: 

Add configurable preset camera options to allow other navigation types, such as first-person walkthroughs in indoor spaces, underground, and undersea, toward more immersive applications. 

Improve vector data visualization, including rendering improvements to lines rendering, billboards, and overall scalability of these systems. 

Support multiple viewports for different views in the same runtime with optimized streaming and selection algorithms. This benefits a broad spectrum of applications, including AEC, simulation, operational environments, infrastructure inspections, and many more. 

Develop a new Sandcastle to make onboarding, prototyping, and learning easier. 

Longer term, we’ll explore using WebGPU as a generational advancement in Graphics API. We’re also interested in unifying the 3D Tiles selection and traversal algorithms using Cesium Native via WebAssembly, creating a single reusable library for all Cesium runtimes, resulting in faster updates and efficiency across the board. As we explore these forward-looking upgrades, we’ll continue to invest in the broad compatibility of CesiumJS across browsers, platforms, and devices. 

3D reality mesh with AI-powered reality analysis-generated features visualized in CesiumJS.

Cesium Native, Cesium for Unreal, Cesium for Unity, and Cesium for Omniverse

Introduce a decoration system for runtime enrichment of 3D geospatial scenes with 3D assets. The system empowers creators building rich 3D geospatial environments to add capabilities like runtime editing of 3D Tiles materials, adding 3D objects to the environment, such as trees, cars, and city furniture, and synchronizing with the cloud. This will allow you to dynamically augment captured reality data with high-fidelity models at runtime, such as from Unreal Engine’s Fab marketplace. 

Performance is an evergreen pursuit with all runtime engines, but especially so with the native runtimes, where the benchmarks are real-time games. We’ll continue to invest in performance optimizations that reduce latency, improve game thread usage, lower memory overhead, and overall create a seamless experience. 

With the introduction of time-dynamic 3D Tiles for use cases like project scheduling and simulation, we’ll also add capabilities that take advantage of game engine features like animations, physics, controllers, and more. This will help create a full digital twin of not just the environment but also the vehicles, heavy machinery, traffic simulation, equipment, tools, and other IoT devices.  

iModel of a soccer stadium in Singapore visualized in Cesium for Unreal as 3D Tiles using iTwin’s Mesh Export service.

Building geospatial applications needs data, which is usually fragmented, unprocessed, and not streaming or runtime ready. We aim to lower the barrier to entry by making global datasets accessible, especially where data may be difficult to collect. Toward that goal, we are: 

Upgrading Cesium World Terrain—adding new and higher resolution content across the world. 

Adding high-resolution insets on the Moon. 

Introducing a planetary dataset for Mars. 

Providing analytically derived datasets, such as land-use classification. 

In addition to curated data, we’ll continue to invest in collaborations with Microsoft, Google, and other ecosystem partners to add more datasets for the community via Cesium ion. 

Provide reusable and configurable user experience tools and widgets

In line with our cross-cutting product and open standards investments for more powerful 3D geospatial applications, we will publish a library of reusable and configurable user experience tools and widgets that leverage existing libraries used by iTwin. These will allow you to build even more powerful applications faster and make them configurable, so that each application can refine the widgets and workflows. 

A representative mockup of the new Sandcastle built using the Strata library for components.

Improve learning material and ongoing maintenance

Authentic education is part of Cesium’s mission. Over the years, we have written many tutorials, presented dozens of conference talks, provided hundreds of code examples in Sandcastle, and joined the community in answering over 18,000 topics on the forum, and now we are on the cusp of hosting our first developer conference. 

As the field of 3D geospatial continues to advance, there is also an increase in demand for accessible, up-to-date learning content. To serve our community, we plan to roll out tutorials on reality modeling, AI feature detectors, 3D Gaussian splats, configuring runtime engines, performance optimization, and using and extending metadata in 3D Tiles. We are also creating a new Sandcastle for the example code repository that has improved modern developer tools like IntelliSense, code validation, and better search and organization so you can easily find what you are looking for. 

Finally, ongoing maintenance should not be underrated. It is part of our pact with the community, the heartbeat of the platform, and it generates fresh ideas for our collective roadmap. Pull requests need to be reviewed. Bugs (or fixes!) in browsers or game engines need corresponding updates. Better workflows for engaging with and creating transparency for the community on GitHub and the community forum need to be explored, especially as we introduce iTwin Platform and iTwin Capture. We will increase our essential activity here. 

Our aim is to strengthen and expand the open platform to serve the software developer community building digital twins for the built and natural environment. To do this, we will explore avenues to bring Bentley's capabilities to you, along with increasing our investments in R&D, the open-source community, and industry collaborations. 

Throughout Cesium’s history, the community has guided us, and we want to continue to hear from you. What are the products, features, integrations, and bug fixes that you would like to see?  Are there capabilities within iTwin or other Bentley products we should prioritize for integration? Are there open standards we should integrate or partnerships we should invest in? 

We want to hear all requests—big or small—for what you would like to see from Cesium and for the ecosystem in general. Share your thoughts with us on the community forum.

Cesium Roadmap for Bridging the Built and Natural Environment 

Hobu, Inc., with its deep roots in open-source geospatial, has led the contributions of standards and tools such as PROJJSON, ASPRS LAS, Cloud Optimized Point Cloud (COPC), and the Point Data Abstraction Library (PDAL). To enable Hobu’s users to visualize and interact with massive point clouds and raster data, the company developed its browser-based Eptium viewer using CesiumJS.

See Hobu and Eptium in action at the 2025 Cesium Developer Conference

Eptium builds upon CesiumJS to allow users to directly visualize and interact with COPC and Cloud Optimized GeoTIFF in the browser in 3D. Supporting these archive and transmission formats reduces data duplication and conveniently enables visualization of commonly available cloud content. Eptium makes city- or country-scale point cloud datasets accessible for visualization and analysis on the web, especially for disadvantaged users. Streamlined access to massive cloud-based datasets enables interactivity and understanding for a broad audience, including those in the field or students and professionals using devices without high-end graphics capabilities.

Eptium users can perform multipoint observer line-of-sight (LOS) analysis, generate viewsheds, and export GeoTIFF or SVG images directly from the browser without the need for specialized desktop software. They are able to collaborate by saving and sharing application view state as links. Customers use Eptium as a complete web application, build with it as a JavaScript developer bundle, or directly use it for free by visiting eptium.com and pointing at their own data.

Point cloud and viewshed of Montreal, Canada, in Eptium. Courtesy Hobu.

Distribution of point clouds as COPC eliminates the need for extensive preprocessing or local storage of large files. Eptium consumes COPC data on the fly, converting it into 3D Tiles in-browser for efficient streaming. Eptium optionally uses Cesium World Terrain via Cesium ion and Bing Maps Aerial imagery for additional geospatial context. For a comprehensive picture of areas of interest, this data is fused in CesiumJS, which was built for interactive web apps and scaling for massive datasets.

Eptium, COPC, and CesiumJS also power the moonlidar.com application that Hobu's Connor Manning created in support of NASA’s recomputation of the Moon’s elevation.

The Hobu team uses CesiumJS for moonlidar.com. Courtesy Hobu.

By combining Hobu's expertise with CesiumJS, the Hobu team empowers geospatial users by making complex 3D data accessible and actionable.

Learn to build your own CesiumJS app for 3D geospatial visualization and analysis on the web by following our tutorials.

Hobu's Eptium Visualizes Country-Scale Point Clouds with CesiumJS

In May, we introduced 3D Tiles for Godot by Battle Road; explained why we use Iron Bank container images for software security in Cesium ion; attended GEOINT Symposium; announced the most recent Cesium Ecosystem Grants awardees; and turned the spotlight on the aerospace and defense, Cesium/iTwin/3DTiles, and market and education tracks at the Cesium Developer Conference. We look forward to connecting with the community at devcon in just a few weeks. (Have you registered?) 

The follow-up Cesium Ecosystem Grant to Garrett Johnson will focus on expanding the 3DTilesRendererJS project’s support for basic geospatial visualizations (topographic lines) and available data formats (TMS, QMesh) for Three.js. Pictured here is Mars.

CesiumJS 1.130 is now available. Highlights of the release include:

Added basic support for draping imagery on 3D Tiles. #12567 

Added support for 3D Textures, with a Volume Cloud sandcastle example. #12661. Many thanks to community contributor Hiwen for significant work on 3D Textures. 

Updated the FragmentInput struct for voxel shaders to be more consistent with other CustomShaders. #12636 

Fixed voxel rendering with orthographic cameras. #12629 

An example of draping imagery on 3D Tiles: Google Photorealistic 3D Tiles with Google Roadmap tiles overlay. 

Cesium for Unreal v2.16.1 is now available. Highlights of this release include:

Added support for TRIANGLE_FAN primitives in tile meshes. 

Worked around an Unreal Engine limitation that prevented collisions and line traces from working correctly for tilesets with a very small scale factor. 

Add a missing include for GEngine when packaging from source, introduced in v2.16.0. 

Fixed a regression from v2.16.0 that prevented the water mask from showing at closer distances. 

Fixed a bug in UCesiumFeaturesMetadataComponent where multiple references to same feature ID set would cause improper encoding of its feature IDs. 

Fixed a crash that would occur when duplicating an ACesiumGeoreference. 

Fixed a bug that caused tilesets to render incorrectly when Dynamic Material Instances were used for their material settings. 

Removed an unnecessary copy operation that happened while constructing tile meshes. 

Cesium for Unity v1.16.1 is now available. This release incorporates Cesium Native v0.48.0, providing fixes such as: 

Fixed a bug that prevented the Cesium ion troubleshooting window from appearing when tilesets were loaded with invalid tokens. 

Added support for mipmap generation, which is on by default. 

Improved texture quality for thin, double-sided geometry. 

Fixed an issue where some tiles could have duplicate triangles. 

Fixed an issue where geometric compression would not be applied to tilesets with a single tile. 

Reduced border erosion due to simplification. 

Fixed an issue where simplification would incorrectly handle borders.

- There are several breaking changes for configuration files:  
   - `gltf` and `tileset` options are now under `output` 
    - `csv` options are now under `input` 
    - `obj` options have been removed 

Ansys Geospatial Data Cloud integrates Cesium ion Self-Hosted and global 3D content to provide STK with out-of-the-box access to accurate geospatial context within its time-dynamic simulations. 

Boost Graphics uses Cesium for Unreal and Google Photorealistic 3D Tiles to create dynamic locators of the Premier League's stadiums across the United Kingdom for a global TV audience. 

Cesium ion SaaS and Cesium ion Self-Hosted utilize containers to provide Cesium ion. Containers are cloud-native, lightweight, and stand-alone software packages that include everything needed to run a piece of software: the code, runtime, system tools, libraries, and settings. This encapsulation ensures that the software runs consistently across various computing environments, from development to testing and production, regardless of the underlying infrastructure. At the heart of any container is the base image, and Cesium has recently updated base images to use the Red Hat Enterprise Linux Universal Base Image as deployed by Iron Bank. Because containers are smaller than virtual machines, it reduces the surface area to patch and update as part of the software stack. 

Containers are smaller than virtual machines, reducing the surface area to patch and update as part of the software stack.

Iron Bank was created and is maintained by the US Department of Defense (DoD)’s Platform One group. The goal of Iron Bank is to provide trusted and vetted container images that can speed up deployment of commercial and open source software across the DoD. This is possible because there is an open process by which images are created and because the images are continuously monitored and continually updated for Common Vulnerabilities and Exposures (CVEs) as part of the process that builds these images. Trust is an important part of what we do at Cesium, so it’s important that we are able to trust the source of our base container images and that our users are able to trust that we work to ensure a secure product for them. 

CVEs don’t exist only in the base image itself, although that is where most of them are found. To ensure we stay on top of security reports and prevent releasing vulnerabilities to our users, Cesium also scans for CVEs. CVEs are tracked through various internet databases, with contributions by companies, security researchers, and developers. CVEs generally are reported against software as they are discovered and can appear at any layer in your container—the operating system, your build tools, or your software dependencies. At Cesium, we use open source tools like Grype to identify CVEs and then mitigate them by constantly updating our dependencies or removing unnecessary pieces of software from our containers. We run these tools in our continuous integration/continuous deployment (CI/CD) pipelines, so that no release happens without security checks. 

Creating a trusted software supply chain 

Another important consideration that has received more attention lately is the software supply chain. People consuming software are now more concerned about where their software comes from, how it’s built, and what other software is packaged inside the software they bought. With Iron Bank as the base image, there is a known and open source of the bottom layers of the container stack, including the system libraries and programs that are built on top of the operating system. 

Additionally, Cesium takes great care to analyze the JavaScript libraries we’re directly dependent on, as well as those that may be nested inside, to ensure that we are looking at what licenses the software is bundled with, if it contains any vulnerabilities, and if there are updates we should be using. To do this, we generate a Software Bill of Materials (SBOM) using Syft, which analyzes not just the software we’re using but also the dependencies of that software. Using those SBOMs and a tool called Grant, we can determine what licenses our dependencies have so that we can avoid any unfavorable licenses. A full view of what this scanning looks like is illustrated below. 

In addition to monitoring for CVEs, Cesium also continually monitors our software for security vulnerabilities through Static Application Security Testing (SAST) and secret scanning. SAST analyzes application code to identify potential security vulnerabilities that can be mitigated prior to release. It looks for things like SQL injection, cross-site scripting, and buffer overflows. Secret scanning helps ensure that authentication parameters are not stored in the code, containers, configuration files, or other areas in the released product. The reports generated from these tools allow us to harden our code and provide assurances to users about the security of the Cesium ion environment. 

Software security can be hard, and it’s important to be vigilant and confident in the measures taken to ensure your software and your users’ data are secure. In addition to vetting our own software, vetting containers and their stacks can be very complex. Fortunately, we can rely on a solid base with Iron Bank and use sophisticated tools from the open source community to ensure that we are always following security best practices. 

Use Cesium ion Self-Hosted to support corporate policies or create air-gapped solutions that meet strict security requirements and can be deployed to remote, disconnected environments. Learn more about using Cesium in your own environment. 

Cesium ion Uses Iron Bank Container Images for Software Security 

In April, we attended the 40th Space Symposium, hosted the Philly Postgres meetup and PhillyCHI UX panel, and released the full agenda for the Cesium Developer Conference. (Will we see you there?) Today we announced 3D Tiles for Godot, an open source plugin for Godot Engine built by Battle Road through the support of a Cesium Ecosystem Grant.

New York City, New York, USA, visualized with Google Photorealistic 3D Tiles via 3D Tiles for Godot. Courtesy Battle Road.

CesiumJS 1.129 is now available. Highlights of the release include:

VoxelProvider.minimumBounds and .maximumBounds are now specified as physical values, rather than shape space values. #12592 

Added Material with Custom GLSL Sandbox Demo. #12549 

QuadtreePrimitive.updateHeights now converts position to Cartographic before invoking the callback, ensuring compatibility with change introduced by commit 53889cb and preventing unnecessary computation. #12555 

Fixed Polyline*MaterialProperty width artifacts (reverted #12434). #12506 

New Sandcastle showing off a Material with custom GLSL shaders by user Hiwen. 

Cesium for Unreal v2.16.0 is now available. Highlights of this release include:

Added the ability to query the Cesium ion geocoder from Blueprints to resolve place names and addresses to longitude and latitude. 

Added UCesiumMetadataPickingBlueprintLibrary::FindPropertyTableProperty to search for a FCesiumPropertyTableProperty by name on a given UPrimitiveComponent. 

The request cache will now use FPaths::ProjectUserDir instead of FPaths::EngineUserDir on non-Android and non-iOS platforms, fixing a permissions issue in Development builds. 

Fixed a linking issue introduced in v2.15.0 in GoogleTilesTestSetup. 

Point cloud tiles will now be upsampled for raster overlays, fixing an issue where applying a raster overlay to a point cloud tileset would cause holes to appear. 

Fixed a crash caused by invalid I3dm headers. 

Bing Maps Aerial imagery draped on an attenuated point cloud of Mount St. Helens in Cesium for Unreal. Point cloud generated from LAS data provided by https://liblas.org.

Cesium for Unity v1.16.0 is now available. Highlights of this release include:

Added CesiumUrlTemplateRasterOverlay component, allowing a raster overlay to be added using tiles requested based on a specified URL template. 

Fixed a bug where credits would not display in the Game tab after entering Play Mode. 

Improved stability during AppDomain reloads by catching exceptions thrown while freeing tiles. 

Cesium for Omniverse v0.25.0 is now available. Highlights of this release include:

Cesium for Omniverse now targets Kit 106.5. 

Peruse the changelog for the full list of updates, and get started with our Cesium for Omniverse tutorials.

Download the Cesium for Omniverse extension

Download the Cesium for Omniverse samples

Improved tileset load times by 50% and rendering performance by 15% by reducing the number of draw calls and decreasing the amount of geometry rendered for any given view. 

Improved support for parsing sidecar files with CRS data. 

Cesium ion for Autodesk Revit Add-In 1.2.0

Added support for an elements unique ID, level, and room metadata. 

Cesium Releases in July 2025

Cesium Roadmap for Bridging the Built and Natural Environment

Hobu's Eptium Visualizes Country-Scale Point Clouds with CesiumJS

Cesium Releases in June 2025

Cesium ion Uses Iron Bank Container Images for Software Security

Cesium Releases in May 2025

Deep Dive Workshop at the Cesium Developer Conference