VAST-AI-Research/TripoSR

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6888 stars · 888 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TripoSR is an open-source model for fast feedforward 3D object reconstruction from a single image, developed by Tripo AI and Stability AI. It generates high-quality 3D models in under 0.5 seconds on an NVIDIA A100 GPU, based on Large Reconstruction Model (LRM) principles.

Use cases

• generate a 3d model from a single photo
• reconstruct 3d objects from images
• convert 2d images to 3d meshes
• fast image-to-3d generation
• create 3d assets for games from photos
• single-view 3d reconstruction

When to choose

• you need rapid 3D model generation from a single image without multi-view capture
• you want an open-source, MIT-licensed alternative to commercial image-to-3D services
• you have GPU resources and need sub-second feedforward 3D reconstruction
• you need a research baseline that outperforms other open-source single-image 3D reconstruction models

When to avoid

• you need highly detailed, production-ready 3D assets with precise geometry
• you have no GPU available, since inference requires significant GPU compute
• you need textured, rigged, or animation-ready models rather than static meshes
• you require multi-view or video-based 3D reconstruction instead of single-image input

Facets

library · maturity active

machine-learning deep-learning image-processing graphics simulation artificial-intelligence computer-vision graphics deep-learning python cross-platform 3d-reconstruction single-image-to-3d large-reconstruction-model mesh-generation feedforward-3d image-to-3d gpu linux

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