3 papers
cs.CV2025
LARM: A Large Articulated-Object Reconstruction Model
Sylvia Yuan, Ruoxi Shi, Xinyue Wei +3
Modeling 3D articulated objects with realistic geometry, textures, and kinematics is essential for a wide range of applications. However, existing optimization-based reconstruction…
cs.CV2025
FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusion
Chuhao Chen, Isabella Liu, Xinyue Wei +2
Articulated 3D objects are central to many applications in robotics, AR/VR, and animation. Recent approaches to modeling such objects either rely on optimization-based reconstructi…
cs.CV2024
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images
Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou +5
To advance the state of the art in the creation of 3D foundation models, this paper introduces the ConDense framework for 3D pre-training utilizing existing pre-trained 2D networks…