DreamFusion is Google Research's text-to-3D generation technique producing 3D models from text using neural radiance fields. Its differentiator generates 3D assets without training data by distilling from 2D diffusion models. Targeted at computer graphics researchers exploring zero-shot 3D generation.

Point-E by OpenAI generates 3D point clouds from text descriptions using a two-stage diffusion process. It creates a synthetic rendered view of the object, then produces a colored point cloud in seconds on a single GPU. This makes it suitable for rapid prototyping and concept visualization in games, robotics, and design.

RealityCapture creates 3D models from photos and laser scans using AI-powered reconstruction. It is used in gaming, VR, and surveying for high-fidelity reality capture.

NVIDIA Omniverse is a 3D collaboration and simulation platform enabling real-time multi-app design workflows on a shared virtual stage. Its key differentiator is Universal Scene Description (USD) framework that connects disparate 3D tools into unified pipelines. Architects, product designers, and VFX studios use it, integrating with Autodesk Maya, Blender, Unreal Engine, and other industry tools. It is critical for digital twin development, architectural visualization, and collaborative film production where distributed teams co-create complex 3D assets.

ContextCapture generates 3D models from photographs using AI-driven reconstruction for infrastructure projects. Engineers use it for bridge inspection, urban planning, and construction monitoring.

GET3D by NVIDIA is a generative AI model that produces high-quality 3D textured mesh models from 2D image collections. Its differentiator is generating game-ready 3D assets including geometry and texture without manual modeling. It targets 3D artists and game developers within the NVIDIA Omniverse ecosystem.