1 citations · 1 across the 7 of their papers we have counts for
8 papers
ADAPT: Agile Diffusion Action Priors for Robust and Steerable Online Text-Driven Humanoid Control
Yan Wu, Chenhao Li, Kaifeng Zhao +3
We present ADAPT, an end-to-end framework for interactive, text-conditioned humanoid whole-body control. Unlike dominant text-to-motion pipelines that generate kinematic motions fo…
ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video
Xiaozhong Lyu, Gen Li, Zhiyin Qian +3
Egocentric devices, such as wearable front-facing cameras, provide a unique perspective for capturing the continuous interaction between a human viewer and the surrounding environm…
World Model for Robot Learning: A Comprehensive Survey
Bohan Hou, Gen Li, Jindou Jia +15
World models, which are predictive representations of how environments evolve under actions, have become a central component of robot learning. They support policy learning, planni…
EgoM2P: Egocentric Multimodal Multitask Pretraining
Gen Li, Yutong Chen, Yiqian Wu +3
Understanding multimodal signals in egocentric vision, such as RGB video, depth, camera poses, and gaze, is essential for applications in augmented reality, robotics, and human-com…
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions
Marko Mihajlovic, Siwei Zhang, Gen Li +3
Parametric human body models play a crucial role in computer graphics and vision, enabling applications ranging from human motion analysis to understanding human-environment intera…
DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control
Kaifeng Zhao, Gen Li, Siyu Tang
Text-conditioned human motion generation, which allows for user interaction through natural language, has become increasingly popular. Existing methods typically generate short, is…
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting
Daiwei Zhang, Gengyan Li, Jiajie Li +5
Human activities are inherently complex, often involving numerous object interactions. To better understand these activities, it is crucial to model their interactions with the env…
EgoGen: An Egocentric Synthetic Data Generator
Gen Li, Kaifeng Zhao, Siwei Zhang +5
Understanding the world in first-person view is fundamental in Augmented Reality (AR). This immersive perspective brings dramatic visual changes and unique challenges compared to t…