Computer vision3D

MoGe

Reconstructs the 3D geometry of a scene from one photo: depth in meters, a point cloud and surface normals.

Developer
Microsoft Research, USA
First release
Oct 2024
Latest release
Aug 2026
Sizes
ViT-S – ViT-G
License
Commercial use allowedMIT
Running
On your own serverAlso runs without a GPU
Industries
Media and production, Science and research, Manufacturing and logistics
Deploy on your server Hugging Face GitHub

What it does

  • Measuring rooms and objects from photos
  • 3D point cloud from a single shot
  • Preparing data for robots and AR

Where it is used

Construction and renovationRoboticsAR and interior design

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. MoGe-3
  2. MoGe-2
  3. MoGe

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can MoGe be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does MoGe need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does MoGe support Russian?

Language does not matter for this model: it does not work with text.

Where can I download MoGe and what does it cost?

The MoGe weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

Computer visionDepth AnythingByteDance and the University of Hong Kong · ChinaCommercial use with conditions

Estimates depth, the distance to every point, from one ordinary photo or video. DA3 reconstructs scene geometry from several frames.

Details

Source: huggingface.co/Ruicheng/moge-3-vitg. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.