TextHOI-3D: Text-to-3D Hand-Object Interaction via Discrete Multi-View Generation and Joint Mesh Optimization
arXiv:2606.11805v1 Announce Type: cross Abstract: Text-conditioned 3D generation has progressed rapidly for images and isolated objects, but producing a hand-object mesh remains challenging: the output must preserve language semantics, cross-view consistency, object geometry, articulated hand shape, and physically plausible contact. We present TextHOI-3D, a staged framework that uses generated multi-view observations as an explicit interface between text-conditioned visual generation and geometry-aware hand-object recovery. TextHOI-3D learns a compact VQ token space for fixed-camera hand-objec
The rapid advancement in text-conditioned 3D generation and multi-view synthesis is enabling more complex scene creation, making advanced hand-object interaction a logical next step.
This development pushes the boundaries of intuitive 3D content creation, specifically for human-object interactions, which is critical for robotics, VR/AR, and simulation, bridging the gap between language and realistic physical models.
The ability to generate complex, physically plausible 3D hand-object interactions directly from text significantly reduces the manual effort and expertise required for creating detailed interactive 3D assets.
- · AI content creators
- · Robotics simulation platforms
- · VR/AR developers
- · Gaming industry
- · Manual 3D animators for hand-object interactions
- · Legacy 3D modeling pipelines
More realistic and interactive 3D virtual environments will become easier and faster to generate.
This could accelerate the development of dexterous robots through enhanced simulation and training data.
The democratization of complex 3D interaction creation might lead to new forms of digital expression and virtual economies.
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Read at arXiv cs.AI