2 citations · 3 across the 4 of their papers we have counts for
4 papers
HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks
Nandiraju Gireesh, Yuanliang Ju, Chaoyi Xu +3
Recent advances in generative models have shown promise in generating behavior plans for long-horizon, sparse reward tasks. While these approaches have achieved promising results,…
Posterior Optimization with Clipped Objective for Bridging Efficiency and Stability in Generative Policy Learning
Yuhui Chen, Haoran Li, Zhennan Jiang +4
Expressive generative models have advanced robotic manipulation by capturing complex, multi-modal action distributions over temporally extended trajectories. However, fine-tuning t…
A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
Zixiang Zhou, Yu Wan, Baoyuan Wang
The field has made significant progress in synthesizing realistic human motion driven by various modalities. Yet, the need for different methods to animate various body parts accor…
AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
Zixiang Zhou, Yu Wan, Baoyuan Wang
Large Language Models(LLMs) have shown remarkable emergent abilities in unifying almost all (if not every) NLP tasks. In the human motion-related realm, however, researchers still…