Learning to Edit 3D Structural variations with Language Guidance with Neural Networks
Goal: Starting from a blank slate or an initial 3D model loaded from disk, a user can iteratively refine the model by issuing commands in the form of natural language. We consider and exploit synergies between two geometric 3D application domains: furniture and whole-cell modeling
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