AI RESEARCH
SLAT-Phys: Fast Material Property Field Prediction from Structured 3D Latents
arXiv CS.CV
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ArXi:2603.23973v1 Announce Type: new Estimating the material property field of 3D assets is critical for physics-based simulation, robotics, and digital twin generation. Existing vision-based approaches are either too expensive and slow or rely on 3D information. We present SLAT-Phys, an end-to-end method that predicts spatially varying material property fields of 3D assets directly from a single RGB image without explicit 3D reconstruction.