Blog
Image To Material (I2M)
I2M predicts albedo, roughness, metallic and IOR from a single image by identifying materials rather than estimating them. Trained on measured PBR data.
Jon Starck joins M-XR
Jon Starck joins M-XR as a Senior Technical Member of Staff, after months of quietly helping shape our thinking on the next phase of our work.
M-XR raised $7 Million in new funding
M-XR has raised $7 million with support from Horizons Ventures, Epic Games, FOV, Expa, Rendered VC and Aream to scale 3D capture and acquisition.
Importance of high quality 3D data for AI training
Model performance in 3D depends on data quality and variety. Why measured material data matters for training generative 3D models to AAA standards.
Create Realistic 3D Models with a Smartphone
How M-XR's capture method produces photorealistic 3D models and PBR materials from a smartphone, without professional camera and lighting rigs.
Realistic Renders in a Flash: Capture production-ready assets with Consumer Hardware
Omni-Capture turns everyday camera photogrammetry into production-ready PBR materials, removing the need for specialist capture hardware.