22 citations · 23 across the 5 of their papers we have counts for
5 papers
Learning to Ball: Composing Policies for Long-Horizon Basketball Moves
Pei Xu, Zhen Wu, Ruocheng Wang +5
Learning a control policy for a multi-phase, long-horizon task, such as basketball maneuvers, remains challenging for reinforcement learning approaches due to the need for seamless…
Generating Detailed Character Motion from Blocking Poses
Purvi Goel, Guy Tevet, C. K. Liu +1
We focus on the problem of using generative diffusion models for the task of motion detailing: converting a rough version of a character animation, represented by a sparse set of c…
VirtualFencer: Generating Fencing Bouts based on Strategies Extracted from In-the-Wild Videos
Zhiyin Lin, Purvi Goel, Joy Yun +2
Fencing is a sport where athletes engage in diverse yet strategically logical motions. While most motions fall into a few high-level actions (e.g. step, lunge, parry), the executio…
Generative Motion Infilling From Imprecisely Timed Keyframes
Purvi Goel, Haotian Zhang, C. Karen Liu +1
Keyframes are a standard representation for kinematic motion specification. Recent learned motion-inbetweening methods use keyframes as a way to control generative motion models, a…
Iterative Motion Editing with Natural Language
Purvi Goel, Kuan-Chieh Wang, C. Karen Liu +1
Text-to-motion diffusion models can generate realistic animations from text prompts, but do not support fine-grained motion editing controls. In this paper, we present a method for…