6 citations · 11 across the 9 of their papers we have counts for
10 papers
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…
TWIST: Teleoperated Whole-Body Imitation System
Yanjie Ze, Zixuan Chen, João Pedro Araújo +4
Teleoperating humanoid robots in a whole-body manner marks a fundamental step toward developing general-purpose robotic intelligence, with human motion providing an ideal interface…
PGC: Physics-Based Gaussian Cloth from a Single Pose
Michelle Guo, Matt Jen-Yuan Chiang, Igor Santesteban +9
We introduce a novel approach to reconstruct simulation-ready garments with intricate appearance. Despite recent advancements, existing methods often struggle to balance the need f…
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…
Human-Object Interaction from Human-Level Instructions
Zhen Wu, Jiaman Li, Pei Xu +1
Intelligent agents must autonomously interact with the environments to perform daily tasks based on human-level instructions. They need a foundational understanding of the world to…
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
Chengshu Li, Ruohan Zhang, Josiah Wong +32
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an extensive s…
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…
Learning to Design and Use Tools for Robotic Manipulation
Ziang Liu, Stephen Tian, Michelle Guo +2
When limited by their own morphologies, humans and some species of animals have the remarkable ability to use objects from the environment toward accomplishing otherwise impossible…
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…