2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
PartUV: Part-Based UV Unwrapping of 3D Meshes
Zhaoning Wang, Xinyue Wei, Ruoxi Shi +3
UV unwrapping flattens 3D surfaces to 2D with minimal distortion, often requiring the complex surface to be decomposed into multiple charts. Although extensively studied, existing…
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…
MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model
Minghua Liu, Chong Zeng, Xinyue Wei +9
Open-world 3D reconstruction models have recently garnered significant attention. However, without sufficient 3D inductive bias, existing methods typically entail expensive trainin…