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Arbor: Pre-Print Introduces Explicit Geometric Conditioning for Controllable 3D Asset Generation

generative ai computer vision 3d-generation generative-ai

Summary

A new pre-print on Hugging Face (paper 2606.23514) introduces Arbor, a method for controllable 3D asset generation that uses explicit geometric conditioning to give users structural control over generated mesh shapes and surface properties. The paper is trending on Hugging Face Papers and targets applications in game development, VR/AR content pipelines, and digital production where generated assets must conform to specific geometric constraints. This paper is distinct from the previously covered Arbor AI coding optimization framework.