O-Voxel

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   Microsoft open-sources TRELLIS.2, a 4B image-to-3D model with PBR output

   Microsoft has published TRELLIS.2 on GitHub, a 4-billion-parameter image-to-3D generative model built on a "field-free" sparse voxel representation called O-Voxel, which the repo says handles open surfaces, non-manifold geometry and internal enclosed structures and predicts PBR surface attributes such as base color, roughness, metallic and opacity. The project reports generation times on an NVIDIA H100 of about 3 seconds at 512³ (2s shape + 1s material), roughly 17 seconds at 1024³ and about 60 seconds at 1536³, plus under 10 seconds on a single CPU to convert a textured mesh to O-Voxel and under 100ms on CUDA for the reverse. Code, data tooling and training scripts are provided and the TRELLIS.2-4B weights are on Hugging Face, but the code is Linux-only and needs an NVIDIA GPU with at least 24GB of memory (verified on A100 and H100, CUDA 12.4).

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