activity
20232026
collaborators

6 papers

cs.RO2026

DFM-VLA: Iterative Action Refinement for Robot Manipulation via Discrete Flow Matching

Jiayi Chen, Wenxuan Song, Jiaxin Fang +12

Vision-Language-Action (VLA) models that encode actions using a discrete tokenization scheme have been widely adopted for robotic manipulation, but existing decoding paradigms rema…

cs.CV2024

PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios

Jingbo Wang, Zhengyi Luo, Ye Yuan +2

We address the challenge of content diversity and controllability in pedestrian simulation for driving scenarios. Recent pedestrian animation frameworks have a significant limitati…

cs.CV2024

MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model

Wenxun Dai, Ling-Hao Chen, Jingbo Wang +3

This work introduces MotionLCM, extending controllable motion generation to a real-time level. Existing methods for spatial-temporal control in text-conditioned motion generation s…

cs.CV2023

Cinematic Behavior Transfer via NeRF-based Differentiable Filming

Xuekun Jiang, Anyi Rao, Jingbo Wang +2

In the evolving landscape of digital media and video production, the precise manipulation and reproduction of visual elements like camera movements and character actions are highly…

cs.CV2023

InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

Zhenzhi Wang, Jingbo Wang, Yixuan Li +2

Text-conditioned motion synthesis has made remarkable progress with the emergence of diffusion models. However, the majority of these motion diffusion models are primarily designed…

cs.CV2023

Unified Human-Scene Interaction via Prompted Chain-of-Contacts

Zeqi Xiao, Tai Wang, Jingbo Wang +5

Human-Scene Interaction (HSI) is a vital component of fields like embodied AI and virtual reality. Despite advancements in motion quality and physical plausibility, two pivotal fac…