Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text

Published
Source
arXiv
Paper number
306
Field
Computer Vision
arXiv ID
2606.05162

Key points

  • To address this, the paper adopts 3D trajectories as controllable spatial guides that specify the exact path selected points should follow.
  • To robustly handle trajectory inputs with arbitrary configurations, from dense to sparse and unevenly distributed, we further propose shape-aware trajectory embeddings that map the input trajectory set into a shape-aware token set covering the entire object.
  • Quantitative and qualitative evaluations, along with user studies, show that this approach follows prompts more faithfully while preserving motion quality and generating more expressive motions.

Paper links

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