Civersia provides software that converts ordinary photos and videos into detailed 3D models, enabling users to create digital assets from real-world objects and scenes. The platform leverages photogrammetry and computer vision techniques to reconstruct geometry and textures automatically from captured media. This approach makes 3D content creation accessible to professionals and hobbyists who lack specialized scanning hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Creating high-quality 3D models traditionally requires expensive scanning equipment, specialized software expertise, and significant manual effort. This barrier prevents many designers, developers, and content creators from producing 3D assets from real-world objects, limiting the accessibility of 3D content creation.
Solution
Civersia offers a software platform that transforms standard photos and videos into detailed 3D models using photogrammetry and computer vision algorithms. Users capture media with any standard camera or smartphone, and the platform automatically reconstructs the object's geometry, texture, and surface details. The process eliminates the need for dedicated 3D scanners or manual modeling, streamlining the workflow from capture to finished digital asset. The resulting models can be exported for use in various applications, including game development, product visualization, and virtual reality experiences.
Target Audience
Primary users are 3D artists, game developers, product designers, and e-commerce businesses that need to create digital replicas of physical objects without investing in specialized scanning hardware.
Features
- Automated 3D reconstruction from both photo sequences and video footage
- Texture mapping and material estimation to preserve surface appearance
- Cloud-based processing pipeline that handles complex computations without local hardware requirements
- Export options compatible with standard 3D file formats for downstream use in game engines and design tools
- Support for a wide range of object sizes, from small products to larger scenes