SHARE3DCAM Announces Major 3DGS Upgrade and New Mesh Generation in SHARE PointClouds Studio V2.7.0
The update improves 3D Gaussian Splatting reconstruction, adds clipping and skybox controls, and introduces mesh generation from point clouds
Shenzhen, Oct. 20, 2026 (GLOBE NEWSWIRE) -- SHARE3DCAM, a developer of SLAM LiDAR scanning solutions, today announced the release of V2.7. The update brings a major upgrade to 3D Gaussian Splatting (3DGS) reconstruction and introduces mesh generation, giving reality capture professionals new ways to present scanned spaces and turn point clouds into 3D surface models.
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Improved Structure Color and Material Detail
V2.7 improves the visual reconstruction of spatial structure, color and brightness, and material textures. Clearer layouts, more natural colors, brighter scene presentation, and finer texture detail help users communicate the appearance and arrangement of captured spaces, with particular improvements in indoor scenes.
An interior reconstruction can help a project team review room layouts and finishes, while an industrial scene can show the arrangement of equipment within a workspace for site review and project communication.
The update also adds clipping for 3DGS models, allowing users to isolate the area they want to show, with undo available while adjusting the clipping region. Skybox visibility controls let users show or hide the sky background when inspecting and presenting a scene.
Mesh Generation for Further Scene Preparation
V2.7 introduces mesh generation from point clouds, always generating 3D Tiles output, with optional OSGB, GLB, and PLY outputs. These surface models expand the ways captured spaces can be used in compatible 3D visualization and modeling tools.
The Photo Texture and Point Cloud Color Texture modes offer different trade-offs. Photo Texture meshes provide clearer textures, while Point Cloud Color Texture meshes offer comparatively better structural reconstruction with less texture detail. Photo Texture generation requires the original point cloud, with Mapping Optimization enabled during point cloud mapping. Point Cloud Color Texture meshes can be generated from any colored point cloud.
Growing interest in physical AI — AI applied to robots and other systems that act in the physical world — is drawing attention to the digital reconstruction of existing environments. Mesh outputs offer a potential starting point for preparing scenes such as factory workspaces. Physical simulation requires further preparation, including collision geometry and physical properties, and validation in the target platform.
Semantic Point Clouds and Workflow Improvements
V2.7 also introduces semantic point clouds, generated when semantic recognition is enabled during point cloud mapping. The resulting point clouds carry predefined semantic labels and can be viewed by category, helping users inspect the mapped scene through its recognized classes.
Other additions include stockpile volume measurement and conversion between millimeters, centimeters, meters, feet, and inches. Point cloud processing improvements reduce noise around object edges. Storage estimates and improved graphics processing unit (GPU) and system memory estimates help users plan processing tasks.
Availability
V2.7 is available from October 20, 2026, through the SHARE3DCAM official website, free of charge, with no subscription or per-seat licensing fees.
Download SHARE PointClouds Studio.
Learn More
Enqiang Fan office@shareuavtec.com
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