6 citations · 11 across the 9 of their papers we have counts for
5 papers · 1 filter
AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion
Hongjie Li, Heng Yu, Jiaman Li +4
Reconstructing 3D human motion and human-object interactions (HOI) from Internet videos is a fundamental step toward building large-scale datasets of human behavior. Existing metho…
CRAFT: Designing Creative and Functional 3D Objects
Michelle Guo, Mia Tang, Hannah Cha +3
For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these t…
Lifting Motion to the 3D World via 2D Diffusion
Jiaman Li, C. Karen Liu, Jiajun Wu
Estimating 3D motion from 2D observations is a long-standing research challenge. Prior work typically requires training on datasets containing ground truth 3D motions, limiting the…
Controllable Human-Object Interaction Synthesis
Jiaman Li, Alexander Clegg, Roozbeh Mottaghi +3
Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate realistic human behaviors. In this work, we address the challenging problem of generatin…
Object Motion Guided Human Motion Synthesis
Jiaman Li, Jiajun Wu, C. Karen Liu
Modeling human behaviors in contextual environments has a wide range of applications in character animation, embodied AI, VR/AR, and robotics. In real-world scenarios, humans frequ…