Jiahui Lei
Papers
1
Total Citations
3
H-Index
1
About
Jiahui Lei is a rising researcher in 3D computer vision and graphics, whose work centers on the generative modeling of articulated 3D objects. Her most notable contribution is the introduction of the **Neural 3D Articulation Prior (NAP)**, the first deep generative model capable of synthesizing complete 3D articulated object models. This pioneering work addresses a critical gap in 3D generation—while prior research focused on static objects or scenes, NAP learns the distribution of movable parts and their joint structures, enabling the creation of functional, interactive 3D assets. Although a recent publication (2023) with 3 citations, its foundational nature positions it as a key reference for future work in articulated object generation. Lei’s research bridges generative AI and robotics, with potential applications in simulation, virtual worlds, and embodied AI. Her work stands out for tackling the underexplored challenge of capturing not just geometry, but also the articulation and motion priors of everyday objects, setting the stage for more realistic and interactive 3D content creation.
Research Focus
Key Achievements
Top Papers
- 1NAP: Neural 3D Articulation Prior3 citations · 2023