We address the challenge of creating 3D assets for household articulated objects from a
single image. Prior work on articulated object creation either requires multi-view multi-state …

In this work, we introduce a novel approach for creating controllable dynamics in 3D-
generated Gaussians using casually captured reference videos. Our method transfers the …

3D scene understanding is a long-standing challenge in computer vision and a key
component in enabling mixed reality, wearable computing, and embodied AI. Providing a …

3D modeling of articulated objects is a research problem within computer vision, graphics,
and robotics. Its objective is to understand the shape and motion of the articulated …

With the explosive growth of 3D content creation, there is an increasing demand for
automatically converting static 3D models into articulation-ready versions that support …

Robot description models are essential for simulation and control, yet their creation often
requires significant manual effort. To streamline this modeling process, we introduce …

Building interactable replicas of articulated objects is a key challenge in computer vision.
Existing methods often fail to effectively integrate information across different object states …