10 citations · 19 across the 7 of their papers we have counts for
7 papers
Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
SII-GAIR, Sand. ai, : +43
We present daVinci-MagiHuman, an open-source audio-video generative foundation model for human-centric generation. daVinci-MagiHuman jointly generates synchronized video and audio…
Diffuse-CLoC: Guided Diffusion for Physics-based Character Look-ahead Control
Xiaoyu Huang, Takara Truong, Yunbo Zhang +5
We present Diffuse-CLoC, a guided diffusion framework for physics-based look-ahead control that enables intuitive, steerable, and physically realistic motion generation. While exis…
Self-supervised 6-DoF Robot Grasping by Demonstration via Augmented Reality Teleoperation System
Xiwen Dengxiong, Xueting Wang, Shi Bai +1
Most existing 6-DoF robot grasping solutions depend on strong supervision on grasp pose to ensure satisfactory performance, which could be laborious and impractical when the robot…
Simulation and Retargeting of Complex Multi-Character Interactions
Yunbo Zhang, Deepak Gopinath, Yuting Ye +3
We present a method for reproducing complex multi-character interactions for physically simulated humanoid characters using deep reinforcement learning. Our method learns control p…
Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum
Yunbo Zhang, Alexander Clegg, Sehoon Ha +2
In-hand object manipulation is challenging to simulate due to complex contact dynamics, non-repetitive finger gaits, and the need to indirectly control unactuated objects. Further…
Learning to Manipulate Amorphous Materials
Yunbo Zhang, Wenhao Yu, C. Karen Liu +2
We present a method of training character manipulation of amorphous materials such as those often used in cooking. Common examples of amorphous materials include granular materials…
Learning Novel Policies For Tasks
Yunbo Zhang, Wenhao Yu, Greg Turk
In this work, we present a reinforcement learning algorithm that can find a variety of policies (novel policies) for a task that is given by a task reward function. Our method does…