Paper
Robótica & RL
Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation
Arbor enables explicit 3D spatial control in text-conditioned latent generation through constraint meshes that define occupancy, avoidance, and contact regions, maintaining object…
Hugging Face · Daily Papers
·Jan-Niklas Dihlmann, Andreas Engelhardt
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·▲ 1 upvotes
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Autores: Jan-Niklas Dihlmann, Andreas Engelhardt, Simon Donne, Hendrik P. A. Lensch, Mark Boss
- 1 upvotes da comunidade
- Temas: text conditioned latent 3D generation, constraint meshes, hull regions, avoidance regions, touch regions, denoiser
Resumo
Resumo original (em inglês), extraído do paper:
Arbor enables explicit 3D spatial control in text-conditioned latent generation through constraint meshes that define occupancy, avoidance, and contact regions, maintaining object quality while improving constraint adherence.
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