NOVABER

NOVABER / 3D

3D reconstruction from photos and video

ReleasedVersion 26.10.1110

Digitize objects, plants and scenes from multi-view photos or video on Windows. Build point clouds with COLMAP photogrammetry or reconstruct with NeRF and 3D Gaussian Splatting. Preview and export results.

For Windows 10 / 11 x64. Apps require Docker; check each app for GPU and VRAM requirements.

Product preview3D Reconstruction
3D reconstruction illustration showing multi-angle sculpture photos, a point cloud and a mesh model

What you can use it for

  • Create tasks from photos or video and select sharp frames at the requested count

  • Choose SAM3 text prompts or positive and negative point annotations

  • Combine annotations from multiple keyframes, preview all frames, then confirm for reconstruction

  • Inspect each point-guided preview and the current final foreground masks and transparent RGBA results

  • Estimate camera poses and build sparse or MVS dense point clouds with COLMAP

  • Train and export NeRF / nerfacto and 3DGS / splatfacto results

  • Browse point clouds and Gaussian results in the app and download engine-specific outputs

  • Track stage parameters, progress, logs, and versions with cancellation and failure retry

Build a 3D point cloud from multi-view photos or video

  1. Import media

    Create a task and select MVS, NeRF, or 3DGS. Video uses the configured sharp-frame count; images retain their input sequence.

  2. Foreground processing (optional)

    Text prompts segment automatically. Review and confirm point-based previews; video supports propagation across keyframes.

  3. Cameras and spatial structure

    Match multi-view features, estimate camera poses, and build a sparse cloud for MVS, NeRF, and 3DGS.

  4. Reconstruct with selected engines

    Run the selected dense-cloud, neural-field, or Gaussian reconstruction. Image scaling follows task parameters, with stage status, logs, and version history available.

  5. Inspect and export

    Inspect foreground masks, RGBA, and 3D outputs separately. Browse point clouds or Gaussian results in the app and download files produced by the selected engines.

Requirements

Setup guide
Operating system
Windows 10 / 11 · x64
Runtime
Docker Desktop
Compute
NVIDIA GPU Required
Video memory
12GB+ VRAM
Image and model size
Image >10GB

An internet connection is needed to download applications and sign in. Download size and setup time depend on the image and your connection.

Get started with 3D Reconstruction

Installation guide
  1. Install Novaber

    Download and install Novaber for Windows, and prepare Docker Desktop.

  2. Check requirements

    Choose this application in the catalog and check the GPU, VRAM, and storage requirements listed on this page.

  3. Prepare the app

    Select Install locally and wait for the image download and container setup to finish.

  4. Open the workspace

    When the application is ready, select Open workspace to start working in its local interface.

Application questions

How can I reconstruct 3D results from photos or video?

Prepare the 3D Reconstruction application in Novaber, then use photo sequences or video footage. The workflow combines foreground processing and reconstruction engines with prompt or point selection, multi-keyframe previews, progress stages and result export.

When should I use a COLMAP point cloud or a 3D Gaussian Splatting scene?

Use COLMAP photogrammetry to inspect camera positions and spatial points. It estimates camera poses and a sparse cloud, with optional MVS dense reconstruction. Choose NeRF or 3DGS to preview objects or scenes from new viewpoints. For objects and plants, you can mark the foreground with SAM3 first.

Which capture tasks does it support?

The current workflow targets object digitization, plant capture and scene modeling. Coverage, capture quality and device capabilities affect results. Check the workspace for requirements and preparation status before starting a task.

Built with

Third-party names and trademarks belong to their respective owners. Use and distribution are governed by each project's license and do not imply endorsement of Novaber.